libreyolo-profiling
libreyolo-profiling is a Runtime diagnostics & profiling skill for AI agents, published by LibreYOLO in the libreyolo repository on GitHub. Skillspace rates libreyolo-profiling D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnose and fix slow LibreYOLO with the `libreyolo profile` CLI — both TRAINING throughput (`profile run`) and INFERENCE latency (`profile infer`). Use whenever training feels slow, GPU utilization is low, images/sec is disappointing, inference/predict latency is too high, a run is dataloader- / host-launch- / NMS- / preprocess-bound, or someone wants to optimize step time, batch size, throughput, or p50/p90/p99 latency. Teaches the profile → diagnose → change → compare loop an agent runs to push speed to the max. This is for SPEED, not accuracy (mAP).
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 493
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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