perf-loop
perf-loop is a Runtime diagnostics & profiling skill for AI agents, published by baseballyama in the rsvelte repository on GitHub. Skillspace rates perf-loop D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Rust の性能改善を「計測 → 仮説 → 変更 → 再計測」のループで地道に回すためのスキル。プロファイラの選び方、Cargo の最適化設定、データ構造・アロケーション・ハッシュ・分岐などの定石をフェーズ順に適用する。1 回 1 変更 1 計測の規律を厳守する。rsvelte 固有の既知ボトルネック（`serde_json::Value` 駆逐、`bumpalo` 導入、`Atom<'a>`、codegen 直書き）と OXC 対応表、NAPI 検証手順も §7 に収録。「Rust の性能改善」「ボトルネック調査」「プロファイル取って最適化」などの依頼で使用。
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 108
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
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 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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