investigating-benchmark-performance
investigating-benchmark-performance is a Runtime diagnostics & profiling skill for AI agents, published by golemcloud in the golem repository on GitHub. Skillspace rates investigating-benchmark-performance D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Investigating benchmark performance by running Golem benchmarks with OTLP tracing enabled and analyzing trace data from Jaeger. Use when diagnosing slow benchmarks, understanding benchmark call flows, or profiling span durations during benchmark runs.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 1,605
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 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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