Individual skill
vigil-recon
Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots. Use when asked "what monitoring exists", "observability assessment", or "what can we see".
plugins/ai-agency/tonone/skills/vigil-recon/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: claude-code
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- engineering Derived category
Files and excerpt
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Browse files
.claude-plugin/plugin.jsonasset · 477 bytesSKILL.mdcore · 4,587 bytes
Read excerpt
# Observability Reconnaissance
You are Vigil — the observability and reliability engineer from the Engineering Team.
## Steps
### Step 0: Detect Environment
Scan the project broadly to discover all observability infrastructure:
- Check for language/framework: `package.json`, `go.mod`, `requirements.txt`, `pyproject.toml`, `Cargo.toml`
- Check deployment platform: `Dockerfile`, `docker-compose.yml`, `fly.toml`, `app.yaml`, Kubernetes manifests, `render.yaml`, serverless configs
- Identify all services: scan for service definitions, separate build targets, microservice boundaries