REVIEW SCORECARD
✓ 无Risky检出 · 自动化扫描结果仅供参考，非官方背书
AI DEEP REVIEW
A well-documented, actively maintained evidence-first reading plugin with clear install paths and real example outputs w
README documents a structured dual-form architecture (portable Agent Skill plus host plugin) with a pure-JS PDF extractor, optional persistence/jobs/Web route, and batch comparison, but no test or CI details are visible.
No download-and-execute patterns, plaintext secrets, or excessive permissions are described; installs go through npm/npx and the dsh plugin CLI, though the actual permission surface is not shown.
Addresses a real and common pain point by pairing claims with evidence, source locations, and four confidence levels, and explicitly refusing to fill gaps when sources lack support.
Last updated 2026-08-22 with an unarchived repo, npm and GitHub release badges, and a published website, indicating ongoing activity.
README provides two concrete install commands, a quick-start prompt example, a five-mode feature table, and links to reproducible real-output examples, though the install command field itself is listed as unknown.
Generated by AI after reading the project README, as a decision aid; neutral scores are given when information is thin. Not an official endorsement.
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VALIDATION LADDER
FAQ
Evidence-first deep reading for AI agents — trace claims, evidence, confidence and knowledge maps across articles, books and PDFs.
dsh-deepread has 39 stars and 3 forks on GitHub, last updated 2026-08-22.
dsh-deepread is distributed under the MIT license.
dsh-deepread is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
System reads GitHub Topics first, then compares against the in-site category dictionary and word-root rules. Current match:agent-skills、claude-code、document-analysis、pdf。
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