mcaf-observability
mcaf-observability is an Observability & incident response skill for AI agents, published by managedcode in the MCAF repository on GitHub. Skillspace rates mcaf-observability C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics. Use when a change affects runtime visibility, failure diagnosis, SLOs, or alerting.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 52
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- CC-BY-4.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
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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