vigil-recon SKILL.md skillA
vigil-recon from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tonone-ai/tonone/vigil-recon@v0.6.4Pins v0.6.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tonone-ai/tonone
- Path
bundle/engineering-team/skills/vigil-recon/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 4,682 bytes
- Repository stars
- 76
- License
- MIT
Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots. Use when asked "what monitoring exists", "observability assessment", or "what can we see".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 This is read-only reconnaissance — do not modify anything. ### Step 1: Discover Monitoring Platforms Search for all monitoring and observability platforms in use: **Metrics platforms:** - Search for: `prometheus`, `grafana`, `datadog`, `newrelic`, `cloudwatch`, `cloud_monitoring`, `statsd`, `influxdb` - Check: config files, environment variables, SDK initialization, Docker Compose services **Tracing platforms:** - Search for: `opentelemetry`, `otel`, `jaeger`, `zipkin`, `honeycomb`, `cloud_trace`, `xray`, `datadog-apm` - Check: SDK initialization, collector configs, sampling configuration …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/vigil-recon@sha256:869e0441bf1764deThe line at the top of this page pins the label v0.6.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_siojhoccwet4ovoo)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4682 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_siojhoccwet4ovoo GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/vigil-recon GET https://markdownregistry.com/api/v1/blob/869e0441bf1764dee55f58a80e30a4da80c329b33253a60589d5661a3254d811
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.