by zxyasfas · MCP Server · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install "paper-format-agent[mcp]"
Taken 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 | 83 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 14 |
| Last Updated | 2026-07-29 |
| Created | 2026-05-05 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
Paper Format Agent 中文说明 | English An open-source DOCX formatter for academic papers that can prove it didn't rewrite your text. Paper Format Agent reformats a thesis or paper — fonts, indents, alignment, spacing, headings, captions — to match a target format guide, and it ships with a verifiable content fingerprint so you can confirm the wording of your paper came out unchanged.
These tools work well together with paper_format_agent for enhanced workflows:
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Codex / Claude Skill for translating LaTeX, PDF, or Markdown into a specified Word template. 让 AI 将 LaTeX / PD
The only MCP server that edits Word documents while they're open — 114 tools, live editing, tracked changes, p
Let AI agents edit Word documents without breaking them: fill in forms, update tables, restyle, write reports,
Umbrella package for SciTeX — reproducible science from raw data to manuscript
Local-first AI memory archive. Import ChatGPT, Claude, and Grok exports, generate semantic embeddings, and sea
Supercharge AI Agents, Safely
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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: