scholar-hypothesis

scholar-hypothesis is an Academic writing & papers skill for AI agents, published by joshzyj in the open-scholar-skill repository on GitHub. Skillspace rates scholar-hypothesis D (60/100) and it passed the safety scan; the rating is based on static analysis only.

Develop theoretically grounded hypotheses and draft publication-ready Theory sections. Covers puzzle framing (5 types: anomaly, contradiction, extension, mechanism, scope), framework selection from 25+ sociological/linguistic theories (stratification, networks, culture, institutional, life course, analytical sociology via Coleman's boat + Hedström DBO, intersectionality, racial formation, social movements, status characteristics, signaling, non-Western: guanxi/Ubuntu/coloniality/world-systems), mechanism chain specification, hypothesis formalization (7 types: directional, interaction, mediation, curvilinear, comparative, boundary, null-as-finding) with formal and competing-prediction tables, text-based DAG construction (routes to /scholar-causal), and journal-calibrated drafts (ASR/AJS 1000–1500 words; Demography 600–1000; NHB/Science Advances 300–600 in Introduction; NCS 200–400; qualitative propositions). Saves internal theory log + section draft. Use after /scholar-lit-review and…

Grade
D
Quality
60 / 100
Safety
Passed
GitHub stars
102

Unproven: rated by static analysis only, not yet compared head-to-head.

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Our review

Architecture
74 / 100
Maturity
Structured: ships references or scripts
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

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  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
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