baseline-selector
baseline-selector is a Literature review & citations skill for AI agents, published by RyanZhou168 in the baseline-selector repository on GitHub. Skillspace rates baseline-selector C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when selecting, auditing, or justifying experimental baselines for a research idea, paper draft, task, benchmark, or experiment plan. Finds classic methods, recent SOTA, direct competitors, strong simple baselines, ablation baselines, resource-matched comparisons, and reviewer-expected missing baselines, but only admits baselines with non-empty, accessible GitHub repositories that appear reproducible. Records strong papers without usable open-source code as excluded candidates rather than selected baselines.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 47
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 1 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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