experiment-controller
experiment-controller is a Model training & evaluation skill for AI agents, published by CUHK-AIM-Group in the NeuroClaw repository on GitHub. Skillspace rates experiment-controller C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill whenever the user wants to execute experiments based on a finalized method and record results. Triggers include: 'run experiment', 'experiment controller', 'implement experiment', 'run model', 'execute training', 'experiment-controller', 'record results', 'ablation study', or any request to turn METHOD.md into concrete runs and output to EXPERIMENT.md. This skill is the **mandatory interface-layer experiment executor** in NeuroClaw: it searches literature/GitHub for matching experimental setups and codebases, proposes one scheme + repo after user discussion, uses git skills to download and setup, runs the experiment(s), and iteratively appends every result + observation to EXPERIMENT.md.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 74
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
- 98 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 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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