Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps.

MITAuto-check: notesDevOps & Cloud

Install Vigil Check

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vigil-check -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace vigil-check --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/vigil-check .claude/skills/vigil-check && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
vigil-check
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
435 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps.

  • Works in 4 steps: Detect Environment → Audit Each Service → Report Gaps → …
  • Asked is monitoring sufficient
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vigil Check is an agent skill from jeremylongshore/tons-of-skills-marketplace. Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

It sits in DevOps & Cloud, covering Observability and Monitoring and alerting. It works with Datadog, OpenTelemetry and Prometheus. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked is monitoring sufficient
  • Observability review
  • Pre-launch monitoring check

Example prompts

  • “is monitoring sufficient”
  • “observability review”
  • “are we covered”
  • “/vigil-check”

Requirements

  • Docker
  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Detect Environment
  2. Audit Each Service
  3. Report Gaps
  4. Prioritize by Blast Radius

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Vigil Check loads about 1k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 435 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 435 words, ~1,038 tokens.

Download SKILL.mdSave it as .claude/skills/vigil-check/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
vigil-check
description
Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Use when asked "is monitoring sufficient", "observability review", "are we covered", or "pre-launch monitoring check".
allowed-tools
Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

Verify Observability Posture

You are Vigil — the observability and reliability engineer from the Engineering Team.

Steps

Step 0: Detect Environment

Discover the project's full monitoring stack:

  • Check for metrics: Prometheus configs, Datadog agent, Cloud Monitoring, CloudWatch, New Relic, StatsD
  • Check for tracing: OpenTelemetry configs, Jaeger, Cloud Trace, X-Ray, Honeycomb, Datadog APM
  • Check for logging: logging library configs, Cloud Logging, ELK, Loki, Datadog Logs, Axiom
  • Check for alerting: PagerDuty, Opsgenie, Grafana alerts, CloudWatch alarms, Betterstack
  • Check for error tracking: Sentry DSN, Bugsnag, Rollbar configs
  • Identify all services: scan for service definitions, Docker Compose, Kubernetes manifests, deployment configs

Build a list of all services and the monitoring stack available.

Step 1: Audit Each Service

For each service discovered, check the following:

RED Metrics:

  • Are request rate, error rate, and duration metrics being collected?
  • Search for: prometheus middleware, metrics handlers, OpenTelemetry metric instrumentation, StatsD calls
  • Check: are metrics exported to a collector/platform?

SLOs:

  • Are SLOs defined for the service?
  • Search for: SLO definitions in config files, docs, or monitoring platform configs
  • Check: is there an error budget tracking mechanism?

Alerts:

  • Are alerts configured for this service?
  • Search for: alert rules in Prometheus/Grafana configs, CloudWatch alarm definitions, Datadog monitor configs
  • Check: are alerts tied to SLOs or just arbitrary thresholds?

Runbooks:

  • Do runbooks exist for each alert?
  • Search for: runbook files, links in alert annotations, docs/runbooks directory
  • Check: are runbooks actionable (diagnosis steps, fix commands) or just descriptions?

Tracing:

  • Is distributed tracing configured?
  • Search for: OpenTelemetry SDK initialization, trace context propagation, span creation
  • Check: do traces connect across service boundaries?

Structured Logging:

  • Are logs structured (JSON) with correlation IDs?
  • Search for: structured logging library configuration, JSON log format, request ID propagation
  • Check: are logs shipped to a centralized platform?
Show full SKILL.md (150 more words)Show less
Step 2: Report Gaps

Present results as a coverage matrix:

## Observability Posture

### Coverage Matrix

| Service | RED Metrics | SLOs | Alerts | Runbooks | Tracing | Logging |
|---------|------------|------|--------|----------|---------|---------|
| [name]  | yes/no     | yes/no| yes/no | yes/no   | yes/no  | yes/no  |

### Critical Gaps (fix before launch)
- [gap] — [service] — [why it matters]

### Important Gaps (fix soon)
- [gap] — [service] — [why it matters]

### Nice to Have
- [gap] — [service] — [why it matters]
Step 3: Prioritize by Blast Radius

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Order recommendations by impact:

  1. Customer-facing services first — if the user can see it, it must be monitored
  2. Revenue-critical paths — payment, checkout, auth — zero blind spots
  3. Data integrity — anything that writes to a database needs error tracking
  4. Internal services — important but lower priority than user-facing
  5. Batch jobs and cron — often forgotten, monitor for failure and duration drift

For each gap, provide a concrete recommendation: what to add, which library/tool, and estimated effort (small/medium/large).

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/vigil-check of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit cfae287

Compare with similar skills

Vigil Check next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Vigil Check compared with similar skills
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Vigil Check this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: NotesMIT
Frontmcp Observabilityagentfront/frontmcp146—~4.6kAutomated safety check: PassApache-2.0
Monitoring Observabilityahmedasmar/devops-claude-skills203—~3.9kAutomated safety check: PassNone
Observability Architecturemajiayu000/litellm-rs118—~1.3kAutomated safety check: PassMIT
ObservabilityTheBeardedBearSAS/claude-craft107—~547Automated safety check: PassMIT
Tsh Implementing ObservabilityTheSoftwareHouse/copilot-collections284—~2kAutomated safety check: PassMIT

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Categories

Questions about Vigil Check

What does Vigil Check do?

Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps. Vigil Check is an agent skill from jeremylongshore/tons-of-skills-marketplace. Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps.

When should I use Vigil Check?

Vigil Check fits situations like: asked is monitoring sufficient; observability review; pre-launch monitoring check.

How do I install Vigil Check in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vigil-check -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/vigil-check in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vigil-check in your project. Claude Code loads it when a task matches its description.

How do I install Vigil Check in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vigil-check -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/vigil-check in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vigil-check in your project. Codex loads it when a task matches its description.

Can I use Vigil Check in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vigil-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vigil-check, .gemini/skills/vigil-check, .github/skills/vigil-check and .opencode/skills/vigil-check in your project.

What does Vigil Check need to run?

SKILL.md names no scripts, command-line tools or credentials: Vigil Check is instructions for the agent only. Our summary lists: Docker. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion.

Does Vigil Check access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Vigil Check safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Vigil Check use?

Vigil Check is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vigil Check use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Vigil Check?

Skills that share tags, products or a category with Vigil Check: Frontmcp Observability (agentfront/frontmcp, 146 stars), Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars), Observability Architecture (majiayu000/litellm-rs, 118 stars) and Observability (TheBeardedBearSAS/claude-craft, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vigil Check?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.