<EXTREMELY_IMPORTANT>
You have superpowers.

**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**

---
name: using-superpowers
description: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
---

<SUBAGENT-STOP>
If you were dispatched as a subagent to execute a specific task, skip this skill.
</SUBAGENT-STOP>

<EXTREMELY-IMPORTANT>
If you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.

IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.

This is not negotiable. This is not optional. You cannot rationalize your way out of this.
</EXTREMELY-IMPORTANT>

## Instruction Priority

Superpowers skills override default system prompt behavior, but **user instructions always take precedence**:

1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority
2. **Superpowers skills** — override default system behavior where they conflict
3. **Default system prompt** — lowest priority

If CLAUDE.md, GEMINI.md, or AGENTS.md says "don't use TDD" and a skill says "always use TDD," follow the user's instructions. The user is in control.

## How to Access Skills

**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.

**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.

**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.

**In other environments:** Check your platform's documentation for how skills are loaded.

## Platform Adaptation

Skills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.

# Using Skills

## The Rule

**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.

```dot
digraph skill_flow {
    "User message received" [shape=doublecircle];
    "About to EnterPlanMode?" [shape=doublecircle];
    "Already brainstormed?" [shape=diamond];
    "Invoke brainstorming skill" [shape=box];
    "Might any skill apply?" [shape=diamond];
    "Invoke Skill tool" [shape=box];
    "Announce: 'Using [skill] to [purpose]'" [shape=box];
    "Has checklist?" [shape=diamond];
    "Create TodoWrite todo per item" [shape=box];
    "Follow skill exactly" [shape=box];
    "Respond (including clarifications)" [shape=doublecircle];

    "About to EnterPlanMode?" -> "Already brainstormed?";
    "Already brainstormed?" -> "Invoke brainstorming skill" [label="no"];
    "Already brainstormed?" -> "Might any skill apply?" [label="yes"];
    "Invoke brainstorming skill" -> "Might any skill apply?";

    "User message received" -> "Might any skill apply?";
    "Might any skill apply?" -> "Invoke Skill tool" [label="yes, even 1%"];
    "Might any skill apply?" -> "Respond (including clarifications)" [label="definitely not"];
    "Invoke Skill tool" -> "Announce: 'Using [skill] to [purpose]'";
    "Announce: 'Using [skill] to [purpose]'" -> "Has checklist?";
    "Has checklist?" -> "Create TodoWrite todo per item" [label="yes"];
    "Has checklist?" -> "Follow skill exactly" [label="no"];
    "Create TodoWrite todo per item" -> "Follow skill exactly";
}
```

## Red Flags

These thoughts mean STOP—you're rationalizing:

| Thought | Reality |
|---------|---------|
| "This is just a simple question" | Questions are tasks. Check for skills. |
| "I need more context first" | Skill check comes BEFORE clarifying questions. |
| "Let me explore the codebase first" | Skills tell you HOW to explore. Check first. |
| "I can check git/files quickly" | Files lack conversation context. Check for skills. |
| "Let me gather information first" | Skills tell you HOW to gather information. |
| "This doesn't need a formal skill" | If a skill exists, use it. |
| "I remember this skill" | Skills evolve. Read current version. |
| "This doesn't count as a task" | Action = task. Check for skills. |
| "The skill is overkill" | Simple things become complex. Use it. |
| "I'll just do this one thing first" | Check BEFORE doing anything. |
| "This feels productive" | Undisciplined action wastes time. Skills prevent this. |
| "I know what that means" | Knowing the concept ≠ using the skill. Invoke it. |

## Skill Priority

When multiple skills could apply, use this order:

1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task
2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution

"Let's build X" → brainstorming first, then implementation skills.
"Fix this bug" → debugging first, then domain-specific skills.

## Skill Types

**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.

**Flexible** (patterns): Adapt principles to context.

The skill itself tells you which.

## User Instructions

Instructions say WHAT, not HOW. "Add X" or "Fix Y" doesn't mean skip workflows.

</EXTREMELY_IMPORTANT>


<memvid-mind-context>
# 🧠 Claude Mind Ready

📁 Project: **vector**
💾 Memory will be created at: `.claude/mind.mv2`

_Your observations will be automatically captured._
</memvid-mind-context>


<EXTREMELY_IMPORTANT>
You have superpowers.

**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**

---
name: using-superpowers
description: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
---

<SUBAGENT-STOP>
If you were dispatched as a subagent to execute a specific task, skip this skill.
</SUBAGENT-STOP>

<EXTREMELY-IMPORTANT>
If you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.

IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.

This is not negotiable. This is not optional. You cannot rationalize your way out of this.
</EXTREMELY-IMPORTANT>

## Instruction Priority

Superpowers skills override default system prompt behavior, but **user instructions always take precedence**:

1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority
2. **Superpowers skills** — override default system behavior where they conflict
3. **Default system prompt** — lowest priority

If CLAUDE.md, GEMINI.md, or AGENTS.md says "don't use TDD" and a skill says "always use TDD," follow the user's instructions. The user is in control.

## How to Access Skills

**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.

**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.

**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.

**In other environments:** Check your platform's documentation for how skills are loaded.

## Platform Adaptation

Skills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.

# Using Skills

## The Rule

**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.

```dot
digraph skill_flow {
    "User message received" [shape=doublecircle];
    "About to EnterPlanMode?" [shape=doublecircle];
    "Already brainstormed?" [shape=diamond];
    "Invoke brainstorming skill" [shape=box];
    "Might any skill apply?" [shape=diamond];
    "Invoke Skill tool" [shape=box];
    "Announce: 'Using [skill] to [purpose]'" [shape=box];
    "Has checklist?" [shape=diamond];
    "Create TodoWrite todo per item" [shape=box];
    "Follow skill exactly" [shape=box];
    "Respond (including clarifications)" [shape=doublecircle];

    "About to EnterPlanMode?" -> "Already brainstormed?";
    "Already brainstormed?" -> "Invoke brainstorming skill" [label="no"];
    "Already brainstormed?" -> "Might any skill apply?" [label="yes"];
    "Invoke brainstorming skill" -> "Might any skill apply?";

    "User message received" -> "Might any skill apply?";
    "Might any skill apply?" -> "Invoke Skill tool" [label="yes, even 1%"];
    "Might any skill apply?" -> "Respond (including clarifications)" [label="definitely not"];
    "Invoke Skill tool" -> "Announce: 'Using [skill] to [purpose]'";
    "Announce: 'Using [skill] to [purpose]'" -> "Has checklist?";
    "Has checklist?" -> "Create TodoWrite todo per item" [label="yes"];
    "Has checklist?" -> "Follow skill exactly" [label="no"];
    "Create TodoWrite todo per item" -> "Follow skill exactly";
}
```

## Red Flags

These thoughts mean STOP—you're rationalizing:

| Thought | Reality |
|---------|---------|
| "This is just a simple question" | Questions are tasks. Check for skills. |
| "I need more context first" | Skill check comes BEFORE clarifying questions. |
| "Let me explore the codebase first" | Skills tell you HOW to explore. Check first. |
| "I can check git/files quickly" | Files lack conversation context. Check for skills. |
| "Let me gather information first" | Skills tell you HOW to gather information. |
| "This doesn't need a formal skill" | If a skill exists, use it. |
| "I remember this skill" | Skills evolve. Read current version. |
| "This doesn't count as a task" | Action = task. Check for skills. |
| "The skill is overkill" | Simple things become complex. Use it. |
| "I'll just do this one thing first" | Check BEFORE doing anything. |
| "This feels productive" | Undisciplined action wastes time. Skills prevent this. |
| "I know what that means" | Knowing the concept ≠ using the skill. Invoke it. |

## Skill Priority

When multiple skills could apply, use this order:

1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task
2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution

"Let's build X" → brainstorming first, then implementation skills.
"Fix this bug" → debugging first, then domain-specific skills.

## Skill Types

**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.

**Flexible** (patterns): Adapt principles to context.

The skill itself tells you which.

## User Instructions

Instructions say WHAT, not HOW. "Add X" or "Fix Y" doesn't mean skip workflows.

</EXTREMELY_IMPORTANT>

<memvid-mind-context>
# 🧠 Claude Mind Ready

📁 Project: **vector**
💾 Memory will be created at: `.claude/mind.mv2`

_Your observations will be automatically captured._
</memvid-mind-context>


I have deployed this module with dry runs enabled in prod and notice that we get a log with a stack trace where the bearer token doesn't seem to trigger tagging with vector_redaction: true, is this legitimate or is this maybe part of a trace and not the log? RequestError: Error: ESOCKETTIMEDOUT
    at new RequestError (/opt/immuta/service/node_modules/request-promise-core/lib/errors.js:14:15)
    at plumbing.callback (/opt/immuta/service/node_modules/request-promise-core/lib/plumbing.js:87:29)
    at Request.RP$callback [as _callback] (/opt/immuta/service/node_modules/request-promise-core/lib/plumbing.js:46:31)
    at self.callback (/opt/immuta/service/node_modules/request/request.js:185:22)
    at Request.emit (node:events:519:28)
    at ClientRequest.<anonymous> (/opt/immuta/service/node_modules/request/request.js:819:16)
    at /opt/immuta/service/node_modules/@opentelemetry/context-async-hooks/build/src/AbstractAsyncHooksContextManager.js:50:55
    at AsyncLocalStorage.run (node:internal/async_local_storage/async_hooks:80:14)
    at AsyncLocalStorageContextManager.with (/opt/immuta/service/node_modules/@opentelemetry/context-async-hooks/build/src/AsyncLocalStorageContextManager.js:33:40)
    at ClientRequest.contextWrapper (/opt/immuta/service/node_modules/@opentelemetry/context-async-hooks/build/src/AbstractAsyncHooksContextManager.js:50:32)
    at Object.onceWrapper (node:events:633:28)
    at ClientRequest.emit (node:events:519:28)
    at TLSSocket.emitRequestTimeout (node:_http_client:927:9)
    at Object.onceWrapper (node:events:633:28)
    at TLSSocket.emit (node:events:531:35)
    at Socket._onTimeout (node:net:604:8)
    at listOnTimeout (node:internal/timers:585:17)
    at process.processTimers (node:internal/timers:521:7)


claude claude-code-guide Explore general-purpose Plan statusline-setup

- claude: Catch-all for any task that doesn't fit a more specific agent. FleetView's default when no agent name is typed. (Tools: *)

- claude-code-guide: Use this agent when the user asks questions ("Can Claude...", "Does Claude...", "How do I...") about: (1) Claude Code (the CLI tool) - features, hooks, slash commands, MCP servers, settings, IDE integrations, keyboard shortcuts; (2) Claude Agent SDK - building custom agents; (3) Claude API (formerly Anthropic API) - API usage, tool use, Anthropic SDK usage. **IMPORTANT:** Before spawning a new agent, check if there is already a running or recently completed claude-code-guide agent that you can continue via SendMessage. (Tools: Bash, Read, WebFetch, WebSearch)

- Explore: Fast read-only search agent for locating code. Use it to find files by pattern (eg. "src/components/**/*.tsx"), grep for symbols or keywords (eg. "API endpoints"), or answer "where is X defined / which files reference Y." Do NOT use it for code review, design-doc auditing, cross-file consistency checks, or open-ended analysis — it reads excerpts rather than whole files and will miss content past its read window. When calling, specify search breadth: "quick" for a single targeted lookup, "medium" for moderate exploration, or "very thorough" to search across multiple locations and naming conventions. (Tools: All tools except Agent, ExitPlanMode, Edit, Write, NotebookEdit)

- general-purpose: General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you. (Tools: *)

- Plan: Software architect agent for designing implementation plans. Use this when you need to plan the implementation strategy for a task. Returns step-by-step plans, identifies critical files, and considers architectural trade-offs. (Tools: All tools except Agent, ExitPlanMode, Edit, Write, NotebookEdit)

- statusline-setup: Use this agent to configure the user's Claude Code status line setting. (Tools: Read, Edit)


## claude.ai Context7
Use this server to fetch current documentation whenever the user asks about a library, framework, SDK, API, CLI tool, or cloud service -- even well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot. This includes API syntax, configuration, version migration, library-specific debugging, setup instructions, and CLI tool usage. Use even when you think you know the answer -- your training data may not reflect recent changes. Prefer this over web search for library docs.

Do not use for: refactoring, writing scripts from scratch, debugging business logic, code review, or general programming concepts.


- migrate-flux-app: Use when migrating a Flux CD application from the infrastructure/kubernetes/application-deployments repo to the application-deployment repo. Covers copying app folders, updating kustomizations, committing, pushing, and creating merge requests.
- app-infra-generate: Generate an application-infrastructure Terraform module from a YAML spec produced by app-infra-spec. Reads pattern files and a versions manifest to produce main.tf, variables.tf, outputs.tf, overlay guidance, and a triage list.
- app-infra-spec: Structured questionnaire to gather requirements for an application-infrastructure Terraform module. Produces a YAML spec for the app-infra-generate skill.
- obsidian-load: Load context from Obsidian notes in the `Claude/` directory into the current conversation.
- obsidian-save: Save current conversation context to an Obsidian note under the `Claude/` directory.
- mind:stats: Show memory statistics and storage information
- mind:search: Search memories for specific content or patterns
- mind:recent: Show recent memories and activity timeline
- mind:ask: Ask questions about memories and get context-aware answers
- mind:mind: Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file
- mind:memory: Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file
- superpowers:using-git-worktrees: Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback
- superpowers:using-superpowers: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
- superpowers:executing-plans: Use when you have a written implementation plan to execute in a separate session with review checkpoints
- superpowers:test-driven-development: Use when implementing any feature or bugfix, before writing implementation code
- superpowers:finishing-a-development-branch: Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
- superpowers:dispatching-parallel-agents: Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
- superpowers:subagent-driven-development: Use when executing implementation plans with independent tasks in the current session
- superpowers:requesting-code-review: Use when completing tasks, implementing major features, or before merging to verify work meets requirements
- superpowers:receiving-code-review: Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
- superpowers:writing-plans: Use when you have a spec or requirements for a multi-step task, before touching code
- superpowers:systematic-debugging: Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
- superpowers:brainstorming: You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
- superpowers:verification-before-completion: Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
- superpowers:writing-skills: Use when creating new skills, editing existing skills, or verifying skills work before deployment
- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors ("from now on when X", "each time X", "whenever X", "before/after X") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions ("allow X", "add permission", "move permission to"), env vars ("set X=Y"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: "allow npm commands", "add bq permission to global settings", "move permission to user settings", "set DEBUG=true", "when claude stops show X". For simple settings like theme/model, suggest the /config command.
- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: "rebind ctrl+s", "add a chord shortcut", "change the submit key", "customize keybindings".
- simplify: Review changed code for reuse, quality, and efficiency, then fix any issues found.
- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.
- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. "check the deploy every 5 minutes", "keep running /babysit-prs"). Do NOT invoke for one-off tasks.
- schedule: Create, update, list, or run scheduled remote agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring remote agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run ("run this once at 3pm", "remind me to check X tomorrow").
- claude-api: Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements).
TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project.
SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.
- init: Initialize a new CLAUDE.md file with codebase documentation
- review: Review a pull request
- security-review: Complete a security review of the pending changes on the current branch


I have deployed this module with dry runs enabled in prod and notice that we get a log with a stack trace where the bearer token doesn't seem to trigger tagging with vector_redaction: true, is this le…


Investigate bearer token vector redaction tagging in logs


Launching skill: superpowers:using-superpowers


Base directory for this skill: /Users/steve.briggs/.claude/plugins/cache/claude-plugins-official/superpowers/5.1.0/skills/using-superpowers

<SUBAGENT-STOP>
If you were dispatched as a subagent to execute a specific task, skip this skill.
</SUBAGENT-STOP>

<EXTREMELY-IMPORTANT>
If you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.

IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.

This is not negotiable. This is not optional. You cannot rationalize your way out of this.
</EXTREMELY-IMPORTANT>

## Instruction Priority

Superpowers skills override default system prompt behavior, but **user instructions always take precedence**:

1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority
2. **Superpowers skills** — override default system behavior where they conflict
3. **Default system prompt** — lowest priority

If CLAUDE.md, GEMINI.md, or AGENTS.md says "don't use TDD" and a skill says "always use TDD," follow the user's instructions. The user is in control.

## How to Access Skills

**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.

**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.

**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.

**In other environments:** Check your platform's documentation for how skills are loaded.

## Platform Adaptation

Skills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.

# Using Skills

## The Rule

**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.

```dot
digraph skill_flow {
    "User message received" [shape=doublecircle];
    "About to EnterPlanMode?" [shape=doublecircle];
    "Already brainstormed?" [shape=diamond];
    "Invoke brainstorming skill" [shape=box];
    "Might any skill apply?" [shape=diamond];
    "Invoke Skill tool" [shape=box];
    "Announce: 'Using [skill] to [purpose]'" [shape=box];
    "Has checklist?" [shape=diamond];
    "Create TodoWrite todo per item" [shape=box];
    "Follow skill exactly" [shape=box];
    "Respond (including clarifications)" [shape=doublecircle];

    "About to EnterPlanMode?" -> "Already brainstormed?";
    "Already brainstormed?" -> "Invoke brainstorming skill" [label="no"];
    "Already brainstormed?" -> "Might any skill apply?" [label="yes"];
    "Invoke brainstorming skill" -> "Might any skill apply?";

    "User message received" -> "Might any skill apply?";
    "Might any skill apply?" -> "Invoke Skill tool" [label="yes, even 1%"];
    "Might any skill apply?" -> "Respond (including clarifications)" [label="definitely not"];
    "Invoke Skill tool" -> "Announce: 'Using [skill] to [purpose]'";
    "Announce: 'Using [skill] to [purpose]'" -> "Has checklist?";
    "Has checklist?" -> "Create TodoWrite todo per item" [label="yes"];
    "Has checklist?" -> "Follow skill exactly" [label="no"];
    "Create TodoWrite todo per item" -> "Follow skill exactly";
}
```

## Red Flags

These thoughts mean STOP—you're rationalizing:

| Thought | Reality |
|---------|---------|
| "This is just a simple question" | Questions are tasks. Check for skills. |
| "I need more context first" | Skill check comes BEFORE clarifying questions. |
| "Let me explore the codebase first" | Skills tell you HOW to explore. Check first. |
| "I can check git/files quickly" | Files lack conversation context. Check for skills. |
| "Let me gather information first" | Skills tell you HOW to gather information. |
| "This doesn't need a formal skill" | If a skill exists, use it. |
| "I remember this skill" | Skills evolve. Read current version. |
| "This doesn't count as a task" | Action = task. Check for skills. |
| "The skill is overkill" | Simple things become complex. Use it. |
| "I'll just do this one thing first" | Check BEFORE doing anything. |
| "This feels productive" | Undisciplined action wastes time. Skills prevent this. |
| "I know what that means" | Knowing the concept ≠ using the skill. Invoke it. |

## Skill Priority

When multiple skills could apply, use this order:

1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task
2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution

"Let's build X" → brainstorming first, then implementation skills.
"Fix this bug" → debugging first, then domain-specific skills.

## Skill Types

**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.

**Flexible** (patterns): Adapt principles to context.

The skill itself tells you which.

## User Instructions

Instructions say WHAT, not HOW. "Add X" or "Fix Y" doesn't mean skip workflows.


Let me look at the Vector module configuration to understand the redaction rules.


Bash

find /Users/steve.briggs/projects/operations/terraform/internal-modules/kubernetes/monitoring/vector -type f | sort

List all files in the vector module


1	bearer_re = r'(?i)Bearer\s+[A-Za-z0-9+/._~-]+=*'
2	svc = to_string(.service) ?? ""
3	ddtags = to_string(.ddtags) ?? ""
4	msg = if is_string(.message) { string!(.message) } else { "" }
5	combined = msg + " " + ddtags
6	target_services = ["service", "secure-metadata-database"]
7	would_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && !contains(combined, "internal-webhook") && !contains(combined, "starting crawl") && !contains(combined, "Databricks automatic subscription") && !contains(combined, "audit/enrich") && !contains(combined, "Background Job") && !contains(combined, "community-organization-id:immuta") && !contains(combined, "pg - pool.connect")
8	if would_redact && is_string(.message) && match(string!(.message), bearer_re) {
9	  .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
10	}
11	.
12

bearer_re = r'(?i)Bearer\s+[A-Za-z0-9+/._~-]+=*'
svc = to_string(.service) ?? ""
ddtags = to_string(.ddtags) ?? ""
msg = if is_string(.message) { string!(.message) } else { "" }
combined = msg + " " + ddtags
target_services = ["service", "secure-metadata-database"]
would_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && !contains(combined, "internal-webhook") && !contains(combined, "starting crawl") && !contains(combined, "Databricks automatic subscription") && !contains(combined, "audit/enrich") && !contains(combined, "Background Job") && !contains(combined, "community-organization-id:immuta") && !contains(combined, "pg - pool.connect")
if would_redact && is_string(.message) && match(string!(.message), bearer_re) {
  .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
}
.


1	{"message": "Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "service", "ddtags": "env:prod,service:service"}
2	{"message": "Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "secure-metadata-database", "ddtags": "env:prod,service:secure-metadata-database"}
3	{"message": "Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "other-service", "ddtags": "env:prod,service:other-service"}
4	{"message": "Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "service", "ddtags": "env:staging,service:service"}
5	{"message": "internal-webhook Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "service", "ddtags": "env:prod,service:service"}
6	{"message": "No token here", "service": "service", "ddtags": "env:prod,service:service"}
7

{"message": "Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "service", "ddtags": "env:prod,service:service"}
{"message": "Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "secure-metadata-database", "ddtags": "env:prod,service:secure-metadata-database"}
{"message": "Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "other-service", "ddtags": "env:prod,service:other-service"}
{"message": "Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "service", "ddtags": "env:staging,service:service"}
{"message": "internal-webhook Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig", "service": "service", "ddtags": "env:prod,service:service"}
{"message": "No token here", "service": "service", "ddtags": "env:prod,service:service"}


1	{"ddtags":"env:prod,service:service,vector_redaction:true","message":"Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"service"}
2	{"ddtags":"env:prod,service:secure-metadata-database,vector_redaction:true","message":"Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"secure-metadata-database"}
3	{"ddtags":"env:prod,service:other-service","message":"Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"other-service"}
4	{"ddtags":"env:staging,service:service","message":"Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"service"}
5	{"ddtags":"env:prod,service:service","message":"internal-webhook Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"service"}
6	{"ddtags":"env:prod,service:service","message":"No token here","service":"service"}
7

{"ddtags":"env:prod,service:service,vector_redaction:true","message":"Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"service"}
{"ddtags":"env:prod,service:secure-metadata-database,vector_redaction:true","message":"Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"secure-metadata-database"}
{"ddtags":"env:prod,service:other-service","message":"Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"other-service"}
{"ddtags":"env:staging,service:service","message":"Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"service"}
{"ddtags":"env:prod,service:service","message":"internal-webhook Authorization: Bearer eyJhbGciOiJIUzI1NiJ9.payload.sig","service":"service"}
{"ddtags":"env:prod,service:service","message":"No token here","service":"service"}


Now let me check the values template to understand how logs vs traces are handled in the pipeline.


1	role: Aggregator
2	replicas: ${replicas}
3	podAnnotations:
4	  reloader.stakater.com/auto: "true"
5	service:
6	  enabled: true
7	  type: ClusterIP
8	  ports:
9	    - name: otlp-grpc
10	      port: 4317
11	      protocol: TCP
12	    - name: otlp-http
13	      port: 4318
14	      protocol: TCP
15	    - name: dd-agent
16	      port: 8282
17	      protocol: TCP
18	env:
19	  - name: DATADOG_API_KEY
20	    valueFrom:
21	      secretKeyRef:
22	        name: vector-datadog
23	        key: api_key
24	resources:
25	  requests:
26	    cpu: ${requests_cpu}
27	    memory: ${requests_memory}
28	%{ if limits_cpu != null || limits_memory != null ~}
29	  limits:
30	%{ if limits_cpu != null }    cpu: "${limits_cpu}"
31	%{ endif }%{ if limits_memory != null }    memory: ${limits_memory}
32	%{ endif ~}
33	%{ endif ~}
34	podDisruptionBudget:
35	  enabled: true
36	  minAvailable: 2
37
38	topologySpreadConstraints:
39	  - maxSkew: 1
40	    topologyKey: topology.kubernetes.io/zone
41	    whenUnsatisfiable: ScheduleAnyway
42	    labelSelector:
43	      matchLabels:
44	        app.kubernetes.io/name: vector
45
46	affinity:
47	  podAntiAffinity:
48	    preferredDuringSchedulingIgnoredDuringExecution:
49	      - weight: 100
50	        podAffinityTerm:
51	          topologyKey: kubernetes.io/hostname
52	          labelSelector:
53	            matchLabels:
54	              app.kubernetes.io/name: vector
55
56	%{ if service_monitor_enabled ~}
57	serviceMonitor:
58	  enabled: true
59	%{ endif ~}
60	customConfig:
61	  data_dir: /vector-data-dir
62	  api:
63	    enabled: true
64	    address: 0.0.0.0:8686
65	  sources:
66	    otlp_in:
67	      type: opentelemetry
68	      grpc:
69	        address: 0.0.0.0:4317
70	      http:
71	        address: 0.0.0.0:4318
72	    dd_agent_in:
73	      type: datadog_agent
74	      address: 0.0.0.0:8282
75	      multiple_outputs: true
76	      disable_metrics: true
77	      disable_traces: true
78	      store_api_key: false
79	      acknowledgements:
80	        enabled: true
81	  transforms:
82	    drop_audit:
83	      type: filter
84	      inputs:
85	        - otlp_in.logs
86	        - dd_agent_in.logs
87	      condition: |
88	        msg = if is_string(.message) { string!(.message) } else { "" }
89	        ${audit_drop_condition}
90	    normalize_logs:
91	      type: remap
92	      inputs:
93	        - drop_audit
94	      source: |
95	        if exists(.severity) {
96	          .status = downcase(to_string!(.severity))
97	          del(.severity)
98	        }
99	%{ if email_do_redact ~}
100	    redact_emails_logs:
101	      type: remap
102	      inputs:
103	        - normalize_logs
104	      source: |
105	        email_re = r'[\w._%+\-]+@[\w.-]+\.[A-Za-z]{2,}'
106	        if is_string(.message) {
107	          .message = replace(string!(.message), email_re, "${email_redaction_replacement}")
108	        }
109	        if is_object(.attributes) {
110	          attrs, _err = object(.attributes)
111	          if is_object(attrs) {
112	            .attributes = map_values(attrs) -> |v| {
113	              if is_string(v) { replace(string!(v), email_re, "${email_redaction_replacement}") } else { v }
114	            }
115	          }
116	        }
117	%{ endif ~}
118	%{ if email_do_tag ~}
119	    tag_emails_logs:
120	      type: remap
121	      inputs:
122	        - normalize_logs
123	      source: |
124	        email_re = r'[\w._%+\-]+@[\w.-]+\.[A-Za-z]{2,}'
125	        detected = false
126	        if is_string(.message) {
127	          detected = match(string!(.message), email_re)
128	        }
129	        if !detected && is_object(.attributes) {
130	          detected = match(encode_json(.attributes), email_re)
131	        }
132	        if detected {
133	          .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
134	        }
135	%{ endif ~}
136	%{ if bearer_do_redact ~}
137	    redact_bearer_tokens_logs:
138	      type: remap
139	      inputs:
140	        - ${bearer_token_logs_input}
141	      source: |
142	        bearer_re = r'(?i)Bearer\s+[A-Za-z0-9+/._~-]+=*'
143	        svc = to_string(.service) ?? ""
144	        ddtags = to_string(.ddtags) ?? ""
145	%{ if bearer_needs_combined ~}
146	        msg = if is_string(.message) { string!(.message) } else { "" }
147	        combined = msg + " " + ddtags
148	%{ endif ~}
149	        target_services = ${bearer_token_services_arr}
150	        should_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${bearer_token_exclusion_condition}
151	        if should_redact && is_string(.message) {
152	          .message = replace(string!(.message), bearer_re, "${bearer_token_redaction_replacement}")
153	        }
154	%{ endif ~}
155	%{ if bearer_do_tag ~}
156	    tag_bearer_tokens_logs:
157	      type: remap
158	      inputs:
159	        - ${bearer_token_logs_input}
160	      source: |
161	        bearer_re = r'(?i)Bearer\s+[A-Za-z0-9+/._~-]+=*'
162	        svc = to_string(.service) ?? ""
163	        ddtags = to_string(.ddtags) ?? ""
164	%{ if bearer_needs_combined ~}
165	        msg = if is_string(.message) { string!(.message) } else { "" }
166	        combined = msg + " " + ddtags
167	%{ endif ~}
168	        target_services = ${bearer_token_services_arr}
169	        would_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${bearer_token_exclusion_condition}
170	        if would_redact && is_string(.message) && match(string!(.message), bearer_re) {
171	          .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
172	        }
173	%{ endif ~}
174	%{ if aws_key_do_redact ~}
175	    redact_aws_access_keys_logs:
176	      type: remap
177	      inputs:
178	        - ${aws_key_logs_input}
179	      source: |
180	        aws_key_re = r'(AKIA|ASIA|AROA|AIPA|ANPA|ANVA|APKA)[A-Z0-9]{16}'
181	        svc = to_string(.service) ?? ""
182	        ddtags = to_string(.ddtags) ?? ""
183	%{ if aws_key_needs_combined ~}
184	        msg = if is_string(.message) { string!(.message) } else { "" }
185	        combined = msg + " " + ddtags
186	%{ endif ~}
187	        target_services = ${aws_key_services_arr}
188	        attr_excluded = ${aws_key_attr_exclusion_condition}
189	        should_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${aws_key_string_exclusion_condition} && !attr_excluded
190	        if should_redact && is_string(.message) {
191	          .message = replace(string!(.message), aws_key_re, "${aws_access_key_redaction_replacement}")
192	        }
193	%{ endif ~}
194	%{ if aws_key_do_tag ~}
195	    tag_aws_access_keys_logs:
196	      type: remap
197	      inputs:
198	        - ${aws_key_logs_input}
199	      source: |
200	        aws_key_re = r'(AKIA|ASIA|AROA|AIPA|ANPA|ANVA|APKA)[A-Z0-9]{16}'
201	        svc = to_string(.service) ?? ""
202	        ddtags = to_string(.ddtags) ?? ""
203	%{ if aws_key_needs_combined ~}
204	        msg = if is_string(.message) { string!(.message) } else { "" }
205	        combined = msg + " " + ddtags
206	%{ endif ~}
207	        target_services = ${aws_key_services_arr}
208	        attr_excluded = ${aws_key_attr_exclusion_condition}
209	        would_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${aws_key_string_exclusion_condition} && !attr_excluded
210	        if would_redact && is_string(.message) && match(string!(.message), aws_key_re) {
211	          .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
212	        }
213	%{ endif ~}
214	%{ if jwt_do_redact ~}
215	    redact_jwts_logs:
216	      type: remap
217	      inputs:
218	        - ${jwt_logs_input}
219	      source: |
220	        jwt_re = r'eyJ[A-Za-z0-9_-]+\.eyJ[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+'
221	        svc = to_string(.service) ?? ""
222	        ddtags = to_string(.ddtags) ?? ""
223	%{ if jwt_needs_combined ~}
224	        msg = if is_string(.message) { string!(.message) } else { "" }
225	        combined = msg + " " + ddtags
226	%{ endif ~}
227	        target_services = ${jwt_services_arr}
228	        should_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${jwt_exclusion_condition}
229	        if should_redact && is_string(.message) {
230	          .message = replace(string!(.message), jwt_re, "${jwt_redaction_replacement}")
231	        }
232	%{ endif ~}
233	%{ if jwt_do_tag ~}
234	    tag_jwts_logs:
235	      type: remap
236	      inputs:
237	        - ${jwt_logs_input}
238	      source: |
239	        jwt_re = r'eyJ[A-Za-z0-9_-]+\.eyJ[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+'
240	        svc = to_string(.service) ?? ""
241	        ddtags = to_string(.ddtags) ?? ""
242	%{ if jwt_needs_combined ~}
243	        msg = if is_string(.message) { string!(.message) } else { "" }
244	        combined = msg + " " + ddtags
245	%{ endif ~}
246	        target_services = ${jwt_services_arr}
247	        would_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${jwt_exclusion_condition}
248	        if would_redact && is_string(.message) && match(string!(.message), jwt_re) {
249	          .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
250	        }
251	%{ endif ~}
252	  sinks:
253	    datadog_logs:
254	      type: datadog_logs
255	      inputs:
256	        - ${logs_sink_input}
257	      default_api_key: $${DATADOG_API_KEY}
258	      site: ${datadog_site}
259

role: Aggregator
replicas: ${replicas}
podAnnotations:
  reloader.stakater.com/auto: "true"
service:
  enabled: true
  type: ClusterIP
  ports:
    - name: otlp-grpc
      port: 4317
      protocol: TCP
    - name: otlp-http
      port: 4318
      protocol: TCP
    - name: dd-agent
      port: 8282
      protocol: TCP
env:
  - name: DATADOG_API_KEY
    valueFrom:
      secretKeyRef:
        name: vector-datadog
        key: api_key
resources:
  requests:
    cpu: ${requests_cpu}
    memory: ${requests_memory}
%{ if limits_cpu != null || limits_memory != null ~}
  limits:
%{ if limits_cpu != null }    cpu: "${limits_cpu}"
%{ endif }%{ if limits_memory != null }    memory: ${limits_memory}
%{ endif ~}
%{ endif ~}
podDisruptionBudget:
  enabled: true
  minAvailable: 2

topologySpreadConstraints:
  - maxSkew: 1
    topologyKey: topology.kubernetes.io/zone
    whenUnsatisfiable: ScheduleAnyway
    labelSelector:
      matchLabels:
        app.kubernetes.io/name: vector

affinity:
  podAntiAffinity:
    preferredDuringSchedulingIgnoredDuringExecution:
      - weight: 100
        podAffinityTerm:
          topologyKey: kubernetes.io/hostname
          labelSelector:
            matchLabels:
              app.kubernetes.io/name: vector

%{ if service_monitor_enabled ~}
serviceMonitor:
  enabled: true
%{ endif ~}
customConfig:
  data_dir: /vector-data-dir
  api:
    enabled: true
    address: 0.0.0.0:8686
  sources:
    otlp_in:
      type: opentelemetry
      grpc:
        address: 0.0.0.0:4317
      http:
        address: 0.0.0.0:4318
    dd_agent_in:
      type: datadog_agent
      address: 0.0.0.0:8282
      multiple_outputs: true
      disable_metrics: true
      disable_traces: true
      store_api_key: false
      acknowledgements:
        enabled: true
  transforms:
    drop_audit:
      type: filter
      inputs:
        - otlp_in.logs
        - dd_agent_in.logs
      condition: |
        msg = if is_string(.message) { string!(.message) } else { "" }
        ${audit_drop_condition}
    normalize_logs:
      type: remap
      inputs:
        - drop_audit
      source: |
        if exists(.severity) {
          .status = downcase(to_string!(.severity))
          del(.severity)
        }
%{ if email_do_redact ~}
    redact_emails_logs:
      type: remap
      inputs:
        - normalize_logs
      source: |
        email_re = r'[\w._%+\-]+@[\w.-]+\.[A-Za-z]{2,}'
        if is_string(.message) {
          .message = replace(string!(.message), email_re, "${email_redaction_replacement}")
        }
        if is_object(.attributes) {
          attrs, _err = object(.attributes)
          if is_object(attrs) {
            .attributes = map_values(attrs) -> |v| {
              if is_string(v) { replace(string!(v), email_re, "${email_redaction_replacement}") } else { v }
            }
          }
        }
%{ endif ~}
%{ if email_do_tag ~}
    tag_emails_logs:
      type: remap
      inputs:
        - normalize_logs
      source: |
        email_re = r'[\w._%+\-]+@[\w.-]+\.[A-Za-z]{2,}'
        detected = false
        if is_string(.message) {
          detected = match(string!(.message), email_re)
        }
        if !detected && is_object(.attributes) {
          detected = match(encode_json(.attributes), email_re)
        }
        if detected {
          .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
        }
%{ endif ~}
%{ if bearer_do_redact ~}
    redact_bearer_tokens_logs:
      type: remap
      inputs:
        - ${bearer_token_logs_input}
      source: |
        bearer_re = r'(?i)Bearer\s+[A-Za-z0-9+/._~-]+=*'
        svc = to_string(.service) ?? ""
        ddtags = to_string(.ddtags) ?? ""
%{ if bearer_needs_combined ~}
        msg = if is_string(.message) { string!(.message) } else { "" }
        combined = msg + " " + ddtags
%{ endif ~}
        target_services = ${bearer_token_services_arr}
        should_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${bearer_token_exclusion_condition}
        if should_redact && is_string(.message) {
          .message = replace(string!(.message), bearer_re, "${bearer_token_redaction_replacement}")
        }
%{ endif ~}
%{ if bearer_do_tag ~}
    tag_bearer_tokens_logs:
      type: remap
      inputs:
        - ${bearer_token_logs_input}
      source: |
        bearer_re = r'(?i)Bearer\s+[A-Za-z0-9+/._~-]+=*'
        svc = to_string(.service) ?? ""
        ddtags = to_string(.ddtags) ?? ""
%{ if bearer_needs_combined ~}
        msg = if is_string(.message) { string!(.message) } else { "" }
        combined = msg + " " + ddtags
%{ endif ~}
        target_services = ${bearer_token_services_arr}
        would_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${bearer_token_exclusion_condition}
        if would_redact && is_string(.message) && match(string!(.message), bearer_re) {
          .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
        }
%{ endif ~}
%{ if aws_key_do_redact ~}
    redact_aws_access_keys_logs:
      type: remap
      inputs:
        - ${aws_key_logs_input}
      source: |
        aws_key_re = r'(AKIA|ASIA|AROA|AIPA|ANPA|ANVA|APKA)[A-Z0-9]{16}'
        svc = to_string(.service) ?? ""
        ddtags = to_string(.ddtags) ?? ""
%{ if aws_key_needs_combined ~}
        msg = if is_string(.message) { string!(.message) } else { "" }
        combined = msg + " " + ddtags
%{ endif ~}
        target_services = ${aws_key_services_arr}
        attr_excluded = ${aws_key_attr_exclusion_condition}
        should_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${aws_key_string_exclusion_condition} && !attr_excluded
        if should_redact && is_string(.message) {
          .message = replace(string!(.message), aws_key_re, "${aws_access_key_redaction_replacement}")
        }
%{ endif ~}
%{ if aws_key_do_tag ~}
    tag_aws_access_keys_logs:
      type: remap
      inputs:
        - ${aws_key_logs_input}
      source: |
        aws_key_re = r'(AKIA|ASIA|AROA|AIPA|ANPA|ANVA|APKA)[A-Z0-9]{16}'
        svc = to_string(.service) ?? ""
        ddtags = to_string(.ddtags) ?? ""
%{ if aws_key_needs_combined ~}
        msg = if is_string(.message) { string!(.message) } else { "" }
        combined = msg + " " + ddtags
%{ endif ~}
        target_services = ${aws_key_services_arr}
        attr_excluded = ${aws_key_attr_exclusion_condition}
        would_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${aws_key_string_exclusion_condition} && !attr_excluded
        if would_redact && is_string(.message) && match(string!(.message), aws_key_re) {
          .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
        }
%{ endif ~}
%{ if jwt_do_redact ~}
    redact_jwts_logs:
      type: remap
      inputs:
        - ${jwt_logs_input}
      source: |
        jwt_re = r'eyJ[A-Za-z0-9_-]+\.eyJ[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+'
        svc = to_string(.service) ?? ""
        ddtags = to_string(.ddtags) ?? ""
%{ if jwt_needs_combined ~}
        msg = if is_string(.message) { string!(.message) } else { "" }
        combined = msg + " " + ddtags
%{ endif ~}
        target_services = ${jwt_services_arr}
        should_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${jwt_exclusion_condition}
        if should_redact && is_string(.message) {
          .message = replace(string!(.message), jwt_re, "${jwt_redaction_replacement}")
        }
%{ endif ~}
%{ if jwt_do_tag ~}
    tag_jwts_logs:
      type: remap
      inputs:
        - ${jwt_logs_input}
      source: |
        jwt_re = r'eyJ[A-Za-z0-9_-]+\.eyJ[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+'
        svc = to_string(.service) ?? ""
        ddtags = to_string(.ddtags) ?? ""
%{ if jwt_needs_combined ~}
        msg = if is_string(.message) { string!(.message) } else { "" }
        combined = msg + " " + ddtags
%{ endif ~}
        target_services = ${jwt_services_arr}
        would_redact = contains(ddtags, "env:prod") && includes(target_services, svc) && ${jwt_exclusion_condition}
        if would_redact && is_string(.message) && match(string!(.message), jwt_re) {
          .ddtags = if is_string(.ddtags) { string!(.ddtags) + ",vector_redaction:true" } else { "vector_redaction:true" }
        }
%{ endif ~}
  sinks:
    datadog_logs:
      type: datadog_logs
      inputs:
        - ${logs_sink_input}
      default_api_key: $${DATADOG_API_KEY}
      site: ${datadog_site}


Yo Sir Charles, this is **legitimate behavior**, no cap. Let me break it down fr fr.

The `tag_bearer_tokens_logs` VRL transform only adds `vector_redaction: true` when the `message` field **itself matches** the bearer regex:

```vrl
# values.yaml.tpl:170
if would_redact && is_string(.message) && match(string!(.message), bearer_re) {
```

Where `bearer_re = r'(?i)Bearer\s+[A-Za-z0-9+/._~-]+=*'`.

The stack trace you're seeing — `RequestError: Error: ESOCKETTIMEDOUT` — contains **no bearer token**. It's a TCP socket timeout error with file paths in the stack frames. There's no `Bearer <token>` string in it, so `match(...)` returns false and the tag is correctly NOT applied.

The OpenTelemetry frames in the stack (`@opentelemetry/context-async-hooks`) are **not evidence this is a trace**. They appear because the Node.js app is OTel-instrumented and the async context wrapper shows up in the call stack when a timeout fires. The event itself is still a **log** flowing through `otlp_in.logs` → `drop_audit` → `normalize_logs` → `tag_bearer_tokens_logs`.

A bearer token would only appear in this context if the app logs the full HTTP request line (e.g. `"Outgoing request: Authorization: Bearer eyJ..."`) — a raw socket timeout error doesn't include request headers.

**TL;DR:** The redaction pipeline is working correctly. This log has no bearer token to redact. It's giving accurate results, bussin no cap.


afplay ~/.claude/sounds/mario/stop/stomp.wav 2>/dev/null || true


that seems reasonable, thanks for the vibe check fam


Bet, Sir Charles. Vibe check passed, pipeline is bussin. W behavior from the redaction logic fr fr. 🤙


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