iterative-latency-investigation
iterative-latency-investigation is a Runtime diagnostics & profiling skill for AI agents, published by chromium in the chromium repository on GitHub. Skillspace rates iterative-latency-investigation D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Iteratively investigate the source of latency in a Chrome build or in an experiment. Coordinates the multi-agent swarm (Capture, SQL Analysis, Trace Injection) to run automated browser scenarios, capture traces, analyze them using Perfetto SQL, and surgically inject trace macros to recursively break down "black box" latency gaps.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 24,241
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
- 79 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- BSD-3-Clause
- 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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