devils-advocate
devils-advocate is a Peer review & grants skill for AI agents, published by HaipingXu in the social-science-claude-scholar repository on GitHub. Skillspace rates devils-advocate C (74/100) and it passed the safety scan; the rating is based on static analysis only.
This skill should be used when the user asks to "play devil's advocate", "challenge my identification", "what are the weaknesses in my paper", "adversarial critique", "stress test my argument", "find holes in my research design", "what would a hostile referee say", or "challenge my empirical strategy". Produces 5-7 specific adversarial challenges targeting the identification strategy, theoretical mechanism, and empirical design of a research project.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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