paperdebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing

by PaperDebugger · MCP Server · ★ 1.5k

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Security audit verdict: SAFE · quality 63/100

None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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.

agentagentic-aiai-agentai-agents-frameworkchatgptlatexlatex-copilotmcpmcp-clientmcp-server

Quick Facts

Stars1,540
Forks73
LanguageTypeScript
CategoryMCP Server
LicenseAGPL-3.0
Quality Score63/100
Open Issues16
Last Updated2026-07-03
Created2025-04-12
Platformscli, mcp, node
Est. Tokens~15k

About paperdebugger

PaperDebugger is an AI-powered academic writing assistant that helps researchers debug a

Compatible Skills

These tools work well together with paperdebugger for enhanced workflows:

  • costrict — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
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  • ai-maestro — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • awesome_ai_agents — semantic(0.28)+complementary+rare_topics+similar_pop+shared_platform (49%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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:

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