benchmarking
benchmarking is a Runtime diagnostics & profiling skill for AI agents, published by nubjs in the nub repository on GitHub. Skillspace rates benchmarking D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Comparative install-benchmarking methodology for nub vs npm/pnpm/bun — cold/warm protocol, genuine-cold cache isolation, load-robust measurement, and the anti-juicing honesty bar. Invoke (via the Skill tool) whenever you need to benchmark `nub install` against another package manager, produce or update the homepage/blog install numbers, or verify a perf claim before it ships. Encodes the hard-won gotchas: time setup OUTSIDE the measurement (hyperfine `--prepare`), the cache lives on DISK so env-var isolation is NOT trustworthy (bun ignores `BUN_INSTALL_CACHE_DIR`/`$HOME` — wipe the real path), VERIFY every cold is genuine via an offline-fails check, and only measure wall-clock on a quiet machine (gate on low load) with file counts as a load-independent cross-check. Pairs with `pm-perf-tracing` for the internal Rust phase decomposition.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 4,285
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
- 97 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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