hm-performance
hm-performance is a Runtime diagnostics & profiling skill for AI agents, published by rodrigohighermind in the highermind-code-skills repository on GitHub. Skillspace rates hm-performance D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Profiling com metas concretas e fix por gargalo. Use antes de shippar feature performance-critical (chat, lista grande, dashboard), quando user reclama "tá lento", após refactor em data flow, periodicamente em projetos com escala, quando custo de LLM/API explode. Cobre 8 domínios — bundle size, Web Vitals (LCP/INP/CLS), API latency (p50/p95/p99), database queries, LLM tokens+cost, network, memory, build performance. Numbers concretos, não especulação.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 181
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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