result-to-claim
result-to-claim is an Experimentation & statistics skill for AI agents, published by AI4Scientist in the nano-scientist repository on GitHub. Skillspace rates result-to-claim C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 120
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 3 other repositories, in 1 collections
- Scope
- Portable: works in any project. General research gate judging claims supported by experiment results
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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