profiling-api
profiling-api is an Observability & incident response skill for AI agents, published by NVIDIA in the omniperf repository on GitHub. Skillspace rates profiling-api D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Add profiling zones, metrics, and annotations to Kit-based C++ and Python code. Covers Carbonite macros (CARB_PROFILE_ZONE, CARB_PROFILE_FUNCTION, GPU zones), Python profiler API (decorators, begin/end), profiler masks, channels, Tracy plot data, event annotations, and automatic Kit Python function capture (CARB_PROFILING_PYTHON). Use when a developer asks how to add profiling spans to Kit/Carbonite code, configure masks/channels, record custom Tracy plots, or annotate traces with event markers. NOT for capturing traces (use profiling), analyzing traces (use nsys-analyze), or non-Kit Python function tracing (use nvtx-python).
- Grade
- D
- Quality
- 68 / 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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- 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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