by 917Dhj · Codex Skill · ★ 1.2k
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npx skills add 917Dhj/DeepPaperNote
npx skills add 917Dhj/DeepPaperNote -a codexTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 1,246 |
| Forks | 82 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 6 |
| Last Updated | 2026-10-26 |
| Created | 2026-03-21 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~20k |
DeepPaperNote Turn a complex paper into an Obsidian note you will actually want to keep. English | 简体中文 Do you often run into this situation: you want to study a classic paper carefully, but the hardest part is no longer reading it — it is turning that reading into usable notes? The real time sink usually looks like this: jumping back and forth between PDFs, Zotero, web pages, and
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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