Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by appautomaton · Claude Skill · ★ 162
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Document Processing Skills English | 中文 A collection of Claude Code / Codex skills for document manipulation — PDF extraction/forms, Excel analysis/formulas, Word, and PowerPoint. Quick start [!TIP] Clone this repo anywhere you keep your skills, then symlink each skill into your agent's skills directory. Skills Dependencies [!NOTE] Python scripts use uv + PEP 723 inline metadata — no virtual environments or needed. Just . System tools: Node.js packages (docx and pptx skills only): bash cd docx && npm install cd ../
| Stars | 162 |
| Forks | 10 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.5933300420869/100 |
| Last Updated | 2026-09-13 |
| Created | 2026-01-24 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~13k |
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document-SKILLs is Claude Code and Codex SKILLs for PDF, Excel, Word, and PowerPoint manipulation — extraction, forms, formulas, tracked changes, adapted from Anthropic skills.. It is categorized as a Claude Skill with 162 GitHub stars.
document-SKILLs is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the document-SKILLs GitHub repository at github.com/appautomaton/document-SKILLs. The project has 162 stars and 10 forks, indicating an active community.
document-SKILLs is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to document-SKILLs on Agent Skills Hub include ai-skills, claudepro-directory, digital-marketing-pro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: