mmbt-bench
mmbt-bench is an LLM evaluation & observability skill for AI agents, published by Osmantic in the MMBT-Messy-Model-Bench-Tests repository on GitHub. Skillspace rates mmbt-bench D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Drive a full MMBT microbench run end-to-end with the self-healing autopilot: launch a target-N run (optionally via a model preset), monitor it live via the dashboard (grid / oneline / html / trend / flips / json), auto-recover the endpoint and stuck cells, grade + summarize, then generate the findings doc and publish a scorecard on the MMBT repo. Use when the user wants to run or resume the microbench, take a model to N replicates, watch the bench grid, analyze replicate stability, or publish bench results.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 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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