perf-review
perf-review is a Change & PR review skill for AI agents, published by DataDog in the dd-trace-java repository on GitHub. Skillspace rates perf-review D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Performance-overhead review of a code diff / branch / PR for the dd-trace-java tracer. Flags hot-path allocation, unbounded memory, repeated work, escaping objects, native-boundary crossings, and JVM-specific pitfalls (escape analysis, JNI / virtual-thread pinning, backtracking-regex ReDoS, varargs/boxing hashing, String.format, ByteBuddy-Advice anti-patterns) using the tracer performance rubric. Use whenever the user wants a performance / overhead / hot-path review, asks to check a diff or PR for allocation / GC / memory / latency / startup cost, or mentions the "perf rubric" or the "do no harm / assume hot" tracer posture — even if they just say "review this for perf" without naming the rubric. Advisory and READ-ONLY: it reports ranked, verify-first findings; it never edits code.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 726
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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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