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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.
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 | 173 |
| Forks | 25 |
| Language | Shell |
| Category | AI Tool |
| Quality Score | 57/100 |
| Last Updated | 2026-10-19 |
| Created | 2026-03-16 |
| Platforms | claude-code, cli |
| Est. Tokens | ~20k |
Open Scholar Skill — Academic Paper Writing for Claude Code Copyright (c) 2025-2026 Open Scholar Skill Contributors Free for academic, educational, and non-commercial research use under the Open Scholar Skill License (Academic Use). Commercial use requires separate written permission from the author. A Claude Code project for social scientists writing for top-tier journals.
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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.
Sources & who's responsible: