canary
canary is an Observability & incident response skill for AI agents, published by lucas-flatwhite in the gstack-ko repository on GitHub. Skillspace rates canary F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.
Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.
MANUAL TRIGGER ONLY: invoke only when user types /canary. Post-deploy canary monitoring. Watches the live app for console errors, performance regressions, and page failures using the browse daemon. Takes periodic screenshots, compares against pre-deploy baselines, and alerts on anomalies. Use when: "monitor deploy", "canary", "post-deploy check", "watch production", "verify deploy".
- Grade
- F
- Quality
- 15 / 100
- Safety
- Unsafe
- GitHub stars
- 43
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 77 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Critical-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- pipe remote script to shell
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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