factor-benchmark
factor-benchmark is a Model training & evaluation skill for AI agents, published by minihellboy in the factorminer repository on GitHub. Skillspace rates factor-benchmark D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Run FactorMiner benchmark workflows — the Table 1 Top-K freeze benchmark, memory and strategy ablations, transaction-cost pressure tests, and the full suite. Use to compare FactorMiner against baselines or to reproduce paper results. Triggers on "benchmark", "ablation", "compare to baseline", "reproduce table 1", "cost pressure", "benchmark suite".
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 92
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 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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