Ln 627 Diagnosability Auditor
Checks diagnosability through structured logs, metrics, traces, correlation IDs, and useful log levels. Use when auditing incident visibility.
MCP get_skill({ skillId: "diagnosability-auditor-l3-worker-cde4f3f2" })Use this skill with your agent
Create a free account and connect via MCP
> **Paths:** File paths (`references/`, `../ln-*`) are relative to this skill directory.
# Diagnosability Auditor (L3 Worker)
**Type:** L3 Worker
Specialized worker auditing whether operators can diagnose incidents.
## Purpose & Scope
- Audit **diagnosability** (Category 10: Medium Priority)
- Check structured logs, metrics, tracing, correlation IDs, and log levels
- Emit `ADD_DIAGNOSTIC_SIGNAL`, `STRUCTURE_LOGS`, or `PROPAGATE_CORRELATION`
- Calculate compliance score (X/10)
## Inputs
**MANDATORY READ:** Load `references/audit_worker_core_contract.md`.
Tool policy: follow host AGENTS.md MCP preferences; load `references/mcp_tool_preferences.md` and `references/mcp_integration_patterns.md` only when host policy is absent or MCP behavior is unclear.
Receives `contextStore` with tech stack, framework, codebase root, output_dir.
Use `hex-graph` first when traces, call paths, or cross-file references materially improve the audit. Use `hex-line` first for local code reads when available. If MCP is unavailable, unsupported, or not indexed, continue with built-in `Read/Grep/Glob/Bash` and state the fallback in the report.
## Workflow
Detection policy: use two-layer detection (candidate scan, then context verification); load `references/two_layer_detection.md` only when the verification method is ambiguous.
1) Parse context + output_dir
2) **Determine project type (Layer 2 pre-check):** Is this a web service (all checks apply), CLI tool (health/probes not applicable), or library (most checks optional)? Adjust applicable checks accordingly.
3) Check observability patterns (Layer 1: grep)
4) Analyze context per candidate (Layer 2):
- Structured logging: is this a library (no logging OK) or a service (logging required)?
- Request tracing: monolith -> less needed. Microservice -> critical
5) Collect confirmed findings
6) Calculate score
7) **Write Report:** Build full markdown report in memory per `references/templates/audit_worker_report_template.md`, write to `{output_dir}/ln-627--global.md` in single Write call
8) **Return Summary:** Return minimal summary
## Audit Rules
### 1. Structured Logging
**Detection:**
- Grep for `console.log` (unstructured)
- Check for proper logger: winston, pino, logrus, zap
**Severity:**
- **MEDIUM:** Production code using console.log
- **LOW:** Dev code using console.log
**Recommendation:** Use structured logger (winston, pino)
**Effort:** M (add logger, replace calls)
### 2. Correlation IDs
**Detection:**
- Check for request ID/correlation ID middleware
- Verify IDs appear in logs and are propagated to outbound calls
**Severity:**
- **MEDIUM:** No correlation IDs in request-handling services
**Recommendation:** Add request ID middleware and include correlation ID in structured logs
**Effort:** M
### 3. Metrics Collection
**Detection:**
- Check for Prometheus client, StatsD, CloudWatch
- Grep for metric recording: `histogram`, `counter`
**Severity:**
- **MEDIUM:** No metrics instrumentation
**Recommendation:** Add Prometheus metrics
**Effort:** M (instrument code)
### 4. Request Tracing
**Detection:**
- Check for correlation IDs in logs
- Verify trace propagation (OpenTelemetry, Zipkin)
**Severity:**
- **MEDIUM:** No correlation IDs (hard to debug distributed systems)
**Recommendation:** Add request ID middleware
**Effort:** M (add middleware, propagate IDs)
### 5. Log Levels
**Detection:**
- Check if logger supports levels (info, warn, error, debug)
- Verify proper level usage
**Severity:**
- **LOW:** Only error logging (insufficient visibility)
**Recommendation:** Add info/debug logs
**Effort:** S (add log statements)
## Scoring Algorithm
**MANDATORY READ:** Load `references/audit_scoring.md`.
## Output Format
**MANDATORY READ:** Load `references/templates/audit_worker_report_template.md`.
Write JSON summary per `references/audit_summary_contract.md`. In managed mode the caller passes both `runId` and `summaryArtifactPath`; in standalone mode the worker generates its own run-scoped artifact path per shared contract.
Write report to `{output_dir}/ln-627--global.md` with `category: "Diagnosability"` and checks: structured_logging, correlation_ids, metrics_collection, request_tracing, log_levels.
Return summary per `references/audit_summary_contract.md`.
When `summaryArtifactPath` is absent, write the standalone runtime summary under `.hex-skills/runtime-artifacts/runs/{run_id}/evaluation-worker/{worker}--{identifier}.json` and optionally echo the same summary in structured output.
```
Report written: .hex-skills/runtime-artifacts/runs/{run_id}/audit-report/ln-627--global.md
Score: X.X/10 | Issues: N (C:N H:N M:N L:N)
```
## Reference Files
- **Audit output schema:** `references/audit_output_schema.md`
## Critical Rules
Apply the already-loaded `references/audit_worker_core_contract.md`.
- **Do not auto-fix:** Report only, never inject logging or endpoints
- **Framework-aware detection:** Adapt patterns to project's tech stack (winston/pino for Node, logrus/zap for Go, etc.)
- **Effort realism:** S = <1h, M = 1-4h, L = >4h
- **Exclusions:** Skip test files for console.log detection, skip dev-only scripts
- **Context-sensitive severity:** console.log in production code = MEDIUM, in dev utilities = LOW
- **Unique angle:** Audit diagnostic signal only. Liveness/readiness probes and shutdown behavior belong to lifecycle/config audit.
- **Action required:** Every finding uses `ADD_DIAGNOSTIC_SIGNAL`, `STRUCTURE_LOGS`, or `PROPAGATE_CORRELATION`.
## Definition of Done
Apply the already-loaded `references/audit_worker_core_contract.md`.
- [ ] contextStore parsed (tech stack, framework, output_dir)
- [ ] All 5 checks completed (structured logging, correlation IDs, metrics, request tracing, log levels)
- [ ] Findings collected with severity, location, effort, action, recommendation
- [ ] Score calculated per `references/audit_scoring.md`
- [ ] Report written to `{output_dir}/ln-627--global.md` (atomic single Write call)
- [ ] Summary written per contract
---
**Version:** 3.0.0
**Last Updated:** 2025-12-23Related Skills
More skills in Software Engineering
Accessibility Standards
Comprehensive web accessibility standards based on WCAG 2.2 AA, with 38+ anti-patterns, legal enforcement context (EAA, ADA Title II), WAI-ARIA patterns, and framework-specific fixes for modern web frameworks and libraries.
Accord
Authoring unified specification packages across Business/Development/Design teams via staged elaboration (L0 Vision → L1 Requirements → L2 Team Detail → L3 Acceptance Criteria). No code. Use when authoring cross-team specs, building L0-L3 packages, or aligning Biz/Dev/Design on a single source of truth.
Acquire Codebase Knowledge
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
Acreadiness Assess
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
Acreadiness Generate Instructions
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
Acreadiness Policy
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
Explore Other Categories
Skills from other categories with shared topics
Ln 014 Agent Instructions Manager
Creates AGENTS.md canonical and CLAUDE.md @AGENTS.md stub; audits token budget, cache safety, import-pattern compliance. Use when instruction files need alignment.
Ln 022 Researchgraph
Indexes and queries project research graphs backed by hex-research MCP. Use for hypotheses, goals, benchmark runs, evidence depth, derived goal metrics, lineage, generated research maps, and graph audits.
Ln 100 Documents Pipeline
Creates complete project documentation system (project docs, reference, tasks, tests). Use when bootstrapping docs from scratch or regenerating all.