Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots.

MITAuto-check: notesDevOps & Cloud

Install Vigil Recon

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace vigil-recon --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-recon .claude/skills/vigil-recon && 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-recon
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
362 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots.

  • Works in 4 steps: Detect Environment → Discover Monitoring Platforms → Inventory What's Instrumented → …
  • Asked what monitoring exists
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vigil Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots. Use when asked "what monitoring exists", "observability assessment", or "what can we see".

Its SKILL.md is about 1.1k 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 Docker, Grafana and Datadog. 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 what monitoring exists
  • Observability assessment
  • What can we see

Example prompts

  • “what monitoring exists”
  • “observability assessment”
  • “what can we see”
  • “/vigil-recon”

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. Discover Monitoring Platforms
  3. Inventory What's Instrumented
  4. Present Coverage Map

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 Recon loads about 1.1k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 362 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 362 words, ~1,138 tokens.

Download SKILL.mdSave it as .claude/skills/vigil-recon/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
vigil-recon
description
Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots. Use when asked "what monitoring exists", "observability assessment", or "what can we see".
allowed-tools
Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

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

Logging platforms:

  • Search for: elasticsearch, kibana, loki, cloud_logging, cloudwatch_logs, datadog_logs, axiom, betterstack
  • Check: log shipping configs, fluentd/fluentbit configs, logging library settings

Alerting platforms:

  • Search for: pagerduty, opsgenie, grafana_alerting, cloudwatch_alarms, betterstack
  • Check: alert rule definitions, notification channel configs, escalation policies

Error tracking:

  • Search for: sentry, bugsnag, rollbar, crashlytics
  • Check: DSN configs, SDK initialization, error boundary setup
Show full SKILL.md (184 more words)Show less
Step 2: Inventory What's Instrumented

For each service, catalog what exists:

  • Metrics: what's being measured, what labels are used, where are they exported
  • Dashboards: check for Grafana dashboard JSON files, dashboard-as-code configs, references to dashboard URLs
  • Alerts: list all alert rules found — what they trigger on, severity, notification target
  • Runbooks: check for runbook files, links in alert annotations, incident response documentation
  • SLOs: check for SLO definitions, error budget configurations, SLO-based alerts
  • Tracing: what's traced, sampling rate, trace context propagation
  • Logging: structured or unstructured, what level, where shipped, retention policy
  • Incident history: check for postmortem files, incident docs, CHANGELOG entries referencing incidents
Step 3: Present Coverage Map

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

Present findings as a structured assessment:

## Observability Reconnaissance

### Monitoring Stack
- **Metrics:** [platform] — [status: active/configured/missing]
- **Tracing:** [platform] — [status]
- **Logging:** [platform] — [status]
- **Alerting:** [platform] — [status]
- **Error tracking:** [platform] — [status]

### Service Coverage

| Service | Metrics | Tracing | Logging | Alerts | Runbooks | SLOs |
|---------|---------|---------|---------|--------|----------|------|
| [name]  | [detail]| [detail]| [detail]| [count]| [count]  | [y/n]|

### What's Working Well
- [positive finding]

### Blind Spots
- [what's not monitored and why it's a risk]

### Incident Readiness
- Runbooks: [count found] / [count needed]
- SLOs defined: [yes/no — for which services]
- On-call setup: [detected/not detected]
- Postmortem history: [count found]

### Recommendations (prioritized)
1. [highest priority gap] — [why] — [effort estimate]
2. [next priority] — [why] — [effort estimate]
3. [next priority] — [why] — [effort estimate]

This is a reconnaissance report — present facts, highlight risks, recommend actions. Do not make changes.

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-recon of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Vigil Recon 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 Recon compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vigil Recon this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: NotesMIT
Frontmcp Observabilityagentfront/frontmcp146—~4.6kAutomated safety check: PassApache-2.0
Monitoring Observabilityahmedasmar/devops-claude-skills203—~3.9kAutomated safety check: PassNone
Alloygrafana/skills282—~1.3kAutomated safety check: PassApache-2.0
Cost Exportruvnet/ruflo74k—~687Automated safety check: NotesMIT
Ag2 Telemetryag2ai/build-with-ag2252—~1.9kAutomated safety check: PassApache-2.0

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Categories

Questions about Vigil Recon

What does Vigil Recon do?

Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots. Vigil Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots.

When should I use Vigil Recon?

Vigil Recon fits situations like: asked what monitoring exists; observability assessment; what can we see.

How do I install Vigil Recon in Claude Code?

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

How do I install Vigil Recon in Codex?

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

Can I use Vigil Recon 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-recon -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-recon, .gemini/skills/vigil-recon, .github/skills/vigil-recon and .opencode/skills/vigil-recon in your project.

What does Vigil Recon need to run?

SKILL.md names no scripts, command-line tools or credentials: Vigil Recon 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 Recon 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 Recon 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 Recon use?

Vigil Recon 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 Recon use?

About 1.1k tokens (SKILL.md is roughly 4.6k 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 Recon?

Skills that share tags, products or a category with Vigil Recon: Frontmcp Observability (agentfront/frontmcp, 146 stars), Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars), Alloy (grafana/skills, 282 stars) and Cost Export (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vigil Recon?

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.