log-analyzer
log-analyzer is an Observability & incident response skill for AI agents, published by HKU-MMLab in the UniClawBench repository on GitHub. Skillspace rates log-analyzer D (66/100) and the safety scan flagged it for review, and it was flagged as an attack benchmark; the rating is based on static analysis only.
Flagged as an attack benchmark: test cases written to attack AI agents. Do not install or run it. The safety scan also flagged it for review.
Parse, search, and analyze application logs across formats. Use when debugging from log files, setting up structured logging, analyzing error patterns, correlating events across services, parsing stack traces, or monitoring log output in real time.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Flagged as an attack benchmark
- GitHub stars
- 34
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- The static scan found medium-risk patterns, but it was flagged as an attack benchmark.
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- reads environment variables
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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