benchmark-isaaclab
benchmark-isaaclab is a Runtime diagnostics & profiling skill for AI agents, published by NVIDIA in the omniperf repository on GitHub. Skillspace rates benchmark-isaaclab D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Run Isaac Lab benchmark scripts and interpret their outputs. Covers RL training throughput, non-RL environment step FPS, camera/load/startup benchmarks, batch suites, parameter gotchas, output files, and JSON result structure. Use when the user asks to run or compare Isaac Lab benchmarks. NOT for RL convergence or policy-quality validation, profiling capture (use profiling), trace analysis (use nsys-analyze), or applying performance fixes (use perf-tuning).
- 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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