dsh-deepread

dsh-deepread is a Research reports & synthesis skill for AI agents, published by xiehuan123 in the dsh-deepread repository on GitHub. Skillspace rates dsh-deepread D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Evidence-first deep reading for books, articles, PDFs, and document sets. Extract core claims, argument structure, supporting evidence, source locations, confidence levels, knowledge maps, and recall questions. Use when the user asks to deep-read, analyze an article, extract claims, trace evidence, map knowledge, compare documents, or learn with the Feynman technique; also matches Chinese requests such as 精读、分析文章、核心观点、论证逻辑、知识地图、费曼读书法. Five modes are quick, deep, map, feynman, and book.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
49

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
93 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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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