Agent skill

Canary

by Houseofmvps in Houseofmvps/ultraship

Post-deploy canary monitoring — checks site health, detects regressions, monitors for errors after deployment.

MITAuto-check: notesDevOps & Cloud

Install Canary

skills CLI
$ npx skills add Houseofmvps/ultraship --skill canary -a claude-code

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

GitHub CLI
$ gh skill install Houseofmvps/ultraship canary --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/Houseofmvps/ultraship.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/canary .claude/skills/canary && 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
canary
GitHub stars
123
Token cost
~1.1k tokens
SKILL.md length
440 words
Files
1
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

Post-deploy canary monitoring — checks site health, detects regressions, monitors for errors after deployment.

  • Works in 5 steps: Run Canary Checks → Analyze Results → Report → …
  • Tasks that involve Deployment
  • SKILL.md covers Process, Continuous Monitoring Loop, Integration with Other Skills and Playwright Browser Checks…
  • Calls node and git

What it does

Canary is an agent skill from Houseofmvps/ultraship. Post-deploy canary monitoring — checks site health, detects regressions, monitors for errors after deployment. Use after deploying to verify production is healthy.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Deployment. The repository describes itself as: "ULTRASHIP" Claude Code plugin — 39 skills, 33 tools, 11 agents for ship-ready workflows: planning, review, pentesting, safety guardrails, canary monitoring, SEO/AI-readiness… The licence is MIT.

When your agent uses it

  • Tasks that involve Deployment

Example prompts

  • “/canary”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Read, Grep

Workflow steps

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

  1. Run Canary Checks
  2. Analyze Results
  3. Report
  4. If Unhealthy
  5. Save Baseline

What it can do on your machine

Read from SKILL.md and the folder at commit ed232cb. 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:

    • Bash
    • Read
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • node
    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Canary loads about 1.1k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 440 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
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: Bash, Read, Grep

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 Houseofmvps/ultraship at commit ed232cb, republished under its MIT licence (© Houseofmvps). 440 words, ~1,069 tokens.

Download SKILL.mdSave it as .claude/skills/canary/SKILL.md (or your agent's skills folder).
name
canary
description
Post-deploy canary monitoring — checks site health, detects regressions, monitors for errors after deployment. Use after deploying to verify production is healthy.
allowed-tools
Bash, Read, Grep
argument-hint
<production-url>

Post-Deploy Canary Monitor

After every deploy, canary monitoring verifies your production site is healthy. It checks HTTP status, response time, error patterns, and compares against a baseline to detect regressions.

Announce at start: "I'm running post-deploy canary monitoring."

Process

Step 1: Run Canary Checks
bash
node ${CLAUDE_PLUGIN_ROOT}/tools/canary-monitor.mjs <production-url> --checks 3 --interval 2

This runs 3 health checks with 2-second intervals. Options:

  • --checks N — number of checks to run (default: 3)
  • --interval S — seconds between checks (default: 2)
  • --baseline <file> — path to baseline file for regression comparison
Step 2: Analyze Results

The canary monitor returns a health status:

StatusMeaningAction
healthyAll checks pass, no regressionsDeploy succeeded
degradedSite is up but has error patterns or issuesInvestigate the specific issues
regression_detectedPerformance or behavior regressed from baselineCompare with baseline, consider rollback
critical_regressionMajor regression (status code change, 3x slower)Rollback immediately
downSite is unreachable or returning errorsRollback immediately, use /rescue
Step 3: Report

Present the results clearly:

+===========================================+
|     C A N A R Y   R E P O R T            |
+===========================================+
|  URL           savemrr.co                 |
|  Status        ✓ HEALTHY                  |
|  Response Time 234ms (avg)                |
|  Checks        3/3 passed                 |
|  Regressions   None                       |
+===========================================+

If issues are found, show them with severity and recommended action.

Step 4: If Unhealthy

If the canary detects problems:

If a Sentry MCP server is connected (check your available tools for sentry), confirm the regression against live error data: compare the error/issue rate since this deploy to the prior baseline window. A post-deploy spike in a new issue is hard confirmation that the deploy caused it — and the stack trace tells you exactly what to roll back or fix. Distinguish a real regression from background noise this way before recommending a rollback.

  1. degraded — Show the specific error patterns found. Check if they're pre-existing or new.
  2. regression_detected — Show the before/after comparison. If response time regressed >50%, investigate.
  3. critical_regression or down — Recommend immediate rollback:
    bash
    git revert HEAD --no-edit && git push
    Then use /rescue for full incident diagnosis.
Show full SKILL.md (153 more words)Show less
Step 5: Save Baseline

When the site is healthy, the canary automatically saves a baseline to .ultraship/canary/baseline.json. Future canary runs compare against this baseline to detect regressions.

Continuous Monitoring Loop

For extended monitoring after a risky deploy:

bash
node ${CLAUDE_PLUGIN_ROOT}/tools/canary-monitor.mjs <url> --checks 10 --interval 30

This runs 10 checks over 5 minutes, catching delayed failures (connection pool exhaustion, memory leaks, cache warm-up issues).

Integration with Other Skills

  • /deploy — Run canary automatically after deploy completes
  • /rescue — If canary detects down or critical_regression, escalate to incident response
  • /retro — Include canary results in sprint retrospectives
  • /learn — Save deployment gotchas as learnings when canary catches issues

Playwright Browser Checks (Optional)

For deeper verification, combine canary with Playwright MCP:

  1. Navigate to the production URL
  2. Take a screenshot
  3. Check for console errors via browser_console_messages
  4. Verify key user flows (login, main feature) work
  5. Compare screenshots with pre-deploy captures (via /visual-diff)

This catches JavaScript errors, broken layouts, and functional regressions that HTTP-only checks miss.

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

Files

Just SKILL.md in skills/canary of Houseofmvps/ultraship.

Open the folder on GitHubat commit ed232cb

Compare with similar skills

Canary 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.

Canary compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Canary this skillHouseofmvps/ultraship123—~1.1kAutomated safety check: NotesMIT
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb6.7k—~4kAutomated safety check: NotesApache-2.0
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence
Vercelremotion-dev/remotion63k—~1.2kAutomated safety check: PassCustom licence
AWS Cdk Developmentzxkane/aws-skills3672 repos~2.5kAutomated safety check: PassMIT

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Categories

Questions about Canary

What does Canary do?

Post-deploy canary monitoring — checks site health, detects regressions, monitors for errors after deployment. Canary is an agent skill from Houseofmvps/ultraship. Post-deploy canary monitoring — checks site health, detects regressions, monitors for errors after deployment.

When should I use Canary?

Canary fits situations like: tasks that involve Deployment.

How do I install Canary in Claude Code?

Run `npx skills add Houseofmvps/ultraship --skill canary -a claude-code`. Or copy the skill folder (skills/canary in Houseofmvps/ultraship) into .claude/skills/canary in your project. Claude Code loads it when a task matches its description.

How do I install Canary in Codex?

Run `npx skills add Houseofmvps/ultraship --skill canary -a codex`. Or copy the skill folder (skills/canary in Houseofmvps/ultraship) into .agents/skills/canary in your project. Codex loads it when a task matches its description.

Can I use Canary 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 Houseofmvps/ultraship --skill canary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/canary, .gemini/skills/canary, .github/skills/canary and .opencode/skills/canary in your project.

What does Canary need to run?

Going by SKILL.md and its folder, Canary needs the command-line tools its instructions call (node and git). Its frontmatter pre-approves these tools: Bash, Read, Grep.

Does Canary access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Canary 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 Canary use?

Canary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Canary use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Canary?

Skills that share tags, products or a category with Canary: Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars) and Vercel (remotion-dev/remotion, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Canary?

Houseofmvps (a GitHub user) maintains it in Houseofmvps/ultraship, which has 123 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on July 8, 2026.

Source: Houseofmvps/ultraship on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.