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.
npx agentmods add commands/florianbruniaux/claude-code-plugins/canarygit clone --depth 1 https://github.com/FlorianBruniaux/claude-code-pluginsWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00018 | $0.02152 |
| Opus 5 | $0.00009 | $0.01076 |
| Sonnet 5 | $0.00004 | $0.00430 |
| Haiku 4.5 | $0.00002 | $0.00215 |
Grade A, and why
canary scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sf "${URL}/health" -w "\n%{http_code}" 2>/dev/null | tail -1 How it starts
The opening of the file, as written. The whole thing — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canary — Post-Deploy Monitoring
Watch a live application after deployment. Alert on errors and regressions. Compare against a pre-deploy baseline.
Two modes:
--baseline— capture the current state BEFORE deploying- (default) — monitor AFTER deploying and compare against baseline
Instructions
Phase 1: Setup
Parse the user's arguments and detect the deployment context.
# Detect current branch and recent deploy commit
git branch --show-current
git log --oneline -5
# Auto-detect platform from config files
[ -f fly.toml ] && echo "PLATFORM: fly"
[ -f render.yaml ] && echo "PLATFORM: render"
[ -f vercel.json ] && echo "PLATFORM: vercel"
[ -f netlify.toml ] && echo "PLATFORM: netlify"
[ -f Procfile ] && echo "PLATFORM: heroku"
[ -f railway.toml ] && echo "PLATFORM: railway"
# Check for health endpoint
curl -sf "${URL}/health" -w "\n%{http_code}" 2>/dev/null | tail -1
curl -sf "${URL}/api/health" -w "\n%{http_code}" 2>/dev/null | tail -1
Create the working directory:
mkdir -p .canary/baselines .canary/reports .canary/screenshots
Phase 2: Baseline Capture (--baseline mode)
Run this BEFORE deploying to capture the current healthy state.
For each page to monitor, record:
- HTTP status — is the page returning 200?
- Response time — how long does it take to load?
- Content snapshot — key text content to detect blank pages later
# For each page URL
for PAGE_PATH in "/" "/dashboard" "/settings" "/api/health"; do
SLUG=$(echo "$PAGE_PATH" | tr '/' '_' | tr -d '?&=')
RESULT=$(curl -sf -o /dev/null -w "%{http_code}|%{time_total}" "${BASE_URL}${PAGE_PATH}" 2>/dev/null)
STATUS=$(echo "$RESULT" | cut -d'|' -f1)
TIME_MS=$(echo "$RESULT" | awk -F'|' '{printf "%.0f", $2 * 1000}')
echo " ${PAGE_PATH}: HTTP ${STATUS}, ${TIME_MS}ms"
done
Save baseline to .canary/baselines/baseline.json:
{
"url": "<base-url>",
"timestamp": "<ISO-8601>",
"branch": "<branch-name>",
"commit": "<git-SHA>",
"pages": {
"/": { "status": 200, "time_ms": 450 },
"/dashboard": { "status": 200, "time_ms": 680 },
"/api/health": { "status": 200, "time_ms": 45 }
}
}
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.
- 2d ago First seen · 246 lines · 18 tokens per session scan A 24b40c6904c7
canary is a command published in the GitHub repository FlorianBruniaux/claude-code-plugins (40 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 2,152 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
aso
App Store Optimization command. iOS app listing analysis via the iTunes API, keyword optimization, and competitor comparison.
content-generate
Social media content generation command. Produces ready-to-use posts, captions, visual briefs, and hashtags for the given platform and type.
api-doc
API documentation generation. Scans route definitions and produces structured API docs.
audit
Quality audit command. Runs a systematic audit over code, structure, or process.
brief
Project briefing command. Turns raw project ideas into structured, actionable briefs.
changelog
Automatic changelog generation. Produces a structured changelog from commit history.