profiling
profiling is a Runtime diagnostics & profiling skill for AI agents, published by NVIDIA in the omniperf repository on GitHub. Skillspace rates profiling D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Capture performance traces using CPU ChromeTrace, Tracy, and Nsight Systems/NVTX for Kit-based applications (Isaac Sim, Isaac Lab, Kit SDK). Covers COLD/WARM/TRACY measurement separation, canonical Tracy capture sequence, last-resort force-kill handling, nsys profile commands, Kit profiler args, and lightweight export handoff to nsys-analyze. Use when running profiling captures, setting up trace collection, or troubleshooting capture failures. NOT for adding profiling zones (use profiling-api), deep trace analysis (use nsys-analyze), memory allocation profiling (use tracy-memory), or applying performance fixes (use perf-tuning).
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 32
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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