research-proof
research-proof is a Structured reasoning & decision frameworks skill for AI agents, published by tonyblu331 in the research-proof repository on GitHub. Skillspace rates research-proof B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Turn vague research ideas, math-heavy claims, AI-lab style agent loops, benchmark claims, causal claims, prototype-readiness claims, design research, prompt-injection-sensitive evidence reviews, and medical-research style questions into falsifiable proof programs with fixed Claim/Verifier/Current Evidence/Verdict/Ledger headings. Use for research reviews, eval design, proof ladders, frozen verifiers, rejection gates, enemy-term checks, evidence certainty, transfer gates, and proof ledgers.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 42
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
- Packaged: licensed, with a version or references
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.