capture-trace
capture-trace is a Runtime diagnostics & profiling skill for AI agents, published by ROCm in the ATOM repository on GitHub. Skillspace rates capture-trace F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.
Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.
Capture a PyTorch profiler / kineto trace from a running ATOM server for a short benchmark window. Use when the user asks for "a trace", "profiler trace", "GPU trace", or "抓 trace" for performance investigation — what kernels ran, what's on the critical path, what's slow. Do NOT use for crashes (use debug-agent-locate-kernel) or numerical bugs (use dump-bisect-debug).
- Grade
- F
- Quality
- 15 / 100
- Safety
- Unsafe
- GitHub stars
- 137
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Critical-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- destructive rm -rf on home/root
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.