canary

canary is a skill for Claude Code from timurgaleev/vibestack. It costs 47 tokens per session (2,784 once invoked), scanned A, original, MIT.

A post-deployment watcher for a live application. It checks browser console errors, speed changes, page failures, screenshots, and differences from earlier screenshots.

In plain words
What is it for?
It helps monitor a deployment, compare live pages with pre-deployment baselines, and alert on visible or performance-related problems.
Why use it?
It helps reveal problems that appear only after release, when a normal code review or pre-release test may not catch them.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Good fit It helps monitor a deployment, compare live pages with pre-deployment baselines, and alert on visible or performance-related problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/timurgaleev/vibestack/canary
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add timurgaleev/vibestack --skill canary
Clone the repo
git clone --depth 1 https://github.com/timurgaleev/vibestack

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for canary

README.md
[![agentmods](https://agentmods.dev/badge/skills/timurgaleev/vibestack/canary.svg)](https://agentmods.dev/skills/timurgaleev/vibestack/canary)
Your own site
<a href="https://agentmods.dev/skills/timurgaleev/vibestack/canary"><img src="https://agentmods.dev/badge/skills/timurgaleev/vibestack/canary.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,784 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 8
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 110
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.02784
Opus 5 $0.00023 $0.01392
Sonnet 5 $0.00009 $0.00557
Haiku 4.5 $0.00005 $0.00278

Measured 3d ago against content hash 73866843adfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

canary scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/canary/SKILL.md · 291 lines

How it starts

The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to invoke

Use when: "monitor deploy", "canary", "post-deploy check", "watch production", "verify deploy".

Preamble

eval "$(~/.vibestack/bin/vibe-slug 2>/dev/null)" 2>/dev/null || SLUG="unknown"
_LEARN_FILE="${VIBESTACK_HOME:-$HOME/.vibestack}/projects/${SLUG:-unknown}/learnings.jsonl"
if [ -f "$_LEARN_FILE" ]; then
  _LEARN_COUNT=$(wc -l < "$_LEARN_FILE" 2>/dev/null | tr -d ' ')
  echo "LEARNINGS: $_LEARN_COUNT entries loaded"
  if [ "$_LEARN_COUNT" -gt 5 ] 2>/dev/null; then
    ~/.vibestack/bin/vibe-learnings-search --limit 5 2>/dev/null || true
  fi
else
  echo "LEARNINGS: none yet"
fi

{{include lib/snippets/session-host.md}}

{{include lib/snippets/decision-brief.md}}

{{include lib/snippets/working-protocols.md}}

{{include lib/snippets/state-protocols.md}}

SETUP

{{include lib/snippets/browse-detect.md}}

Step 0: Detect platform and base branch

First, detect the git hosting platform from the remote URL:

git remote get-url origin 2>/dev/null
  • If the URL contains "github.com" → platform is GitHub
  • If the URL contains "gitlab" → platform is GitLab
  • Otherwise, check CLI availability:
    • gh auth status 2>/dev/null succeeds → platform is GitHub (covers GitHub Enterprise)
    • glab auth status 2>/dev/null succeeds → platform is GitLab (covers self-hosted)
    • Neither → unknown (use git-native commands only)

Determine which branch this PR/MR targets, or the repo's default branch if no PR/MR exists. Use the result as "the base branch" in all subsequent steps.

If GitHub:

  1. gh pr view --json baseRefName -q .baseRefName — if succeeds, use it
  2. gh repo view --json defaultBranchRef -q .defaultBranchRef.name — if succeeds, use it

If GitLab:

  1. glab mr view -F json 2>/dev/null and extract the target_branch field — if succeeds, use it
  2. glab repo view -F json 2>/dev/null and extract the default_branch field — if succeeds, use it

Git-native fallback (if unknown platform, or CLI commands fail):

  1. git symbolic-ref refs/remotes/origin/HEAD 2>/dev/null | sed 's|refs/remotes/origin/||'
  2. If that fails: git rev-parse --verify origin/main 2>/dev/null → use main
  3. If that fails: git rev-parse --verify origin/master 2>/dev/null → use master

Read the full file on GitHub · 291 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago Changed · +6 lines 73866843adfb
  2. 7d ago First seen · 285 lines · 47 tokens per session scan A a276c766498b

Subscribe to this mod's changes

canary is a skill published in the GitHub repository timurgaleev/vibestack (6 stars, last pushed 5d ago), licensed MIT. It adds 47 tokens to every session and 2,784 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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