observability-patterns
observability-patterns is an Observability & incident response skill for AI agents, published by farming-labs in the fm-skills repository on GitHub. Skillspace rates observability-patterns D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Explains observability patterns for web applications including logs, metrics, traces, client error reporting, correlation IDs, SLOs, and alert design. Use when debugging production issues, designing telemetry, or deciding what signals to collect from frontend and backend systems.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 35
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, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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