chrome-performance-optimizer
chrome-performance-optimizer is an Agent task delegation & fan-out skill for AI agents, published by chromium in the chromium repository on GitHub. Skillspace rates chrome-performance-optimizer F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Autonomous multi-agent performance optimization loop for Chromium and V8. Supports profile-seeded mode (analyzing Speedometer 3 / JetStream profiles via pprof or Sagacity MCP) and pattern-driven discovery mode (fan-out exploration of Blink and V8 macro-patterns grounded in historical wins and past rejected CLs). Dispatches isolated implementations in git worktrees, verifies local tests, uploads CLs, triggers 150-iteration Pinpoint try jobs on Apple Silicon M1 hardware, pipelines subsequent hypotheses asynchronously, evaluates statistical significance, and manages CL lifecycles.
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 24,769
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
- 70 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
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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