rollout-dashboard
rollout-dashboard is a Model training & evaluation skill for AI agents, published by basetenlabs in the ml-cookbook repository on GitHub. Skillspace rates rollout-dashboard B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Build a local browser dashboard for digging into AI training rollouts — the text the model actually produced during training. Works on any training output (RL, SFT, DPO, GRPO, eval suites, custom research code, Tinker, prime-rl, verifiers, HuggingFace, anything else) by detecting where the rollouts live and rendering them as a browsable, click-to-read interface. Use this skill whenever the user wants to inspect a training run, debug model outputs, browse generations, see what the model wrote, or "dig into rollouts" — even if they don't say "dashboard". Rollouts are the focus; metrics and configs are secondary context.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 59
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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