artivilla/agents-config/paper-mcp
- community
Checking that the SKILL.md file is still in the repository.
Use the Paper MCP server to fetch paper metadata, sections, figures, citations, and full-text context, then translate that context into structured outputs such as summaries, extraction tables, and implementation-ready notes. Trigger when a task involves paper links/DOIs/arXiv IDs, literature review, citation extraction, or Paper MCP setup and troubleshooting.
Install
npx vskill@latest install artivilla/agents-config/paper-mcpSKILL.md
Paper MCP
Use the Paper MCP server for paper-driven research and implementation tasks. For setup and debugging details (env vars, config, verification), see references/paper-mcp-config.md.
Paper MCP integration rules
These rules define how to translate paper inputs into reliable outputs and must be followed for every paper-driven change.
Required flow (do not skip)
- Resolve the paper first (URL/DOI/arXiv/PMID) and fetch high-level metadata before requesting full text.
- If the full response is large or truncated, fetch section-level context and work section-by-section.
- Fetch a stable citation list before drafting any claims that depend on references.
- If figures/tables are relevant, fetch those assets and capture captions prior to synthesis.
- Only after metadata plus content context are collected, generate the user output (summary/table/notes/code-facing plan).
- Validate all key claims against source excerpts before marking complete.
Tool mapping rule
- Paper MCP deployments may expose different tool names.
- Start by listing available paper MCP tools, then map this workflow to equivalent tools in the current server.
- If a required capability is missing (for example, no section fetch or no citation endpoint), note the limitation and continue with the best available fallback.
Implementation rules
- Treat paper MCP responses as source context, not final prose.
- Keep outputs traceable: tie each important claim to a section, figure, or citation.
- Distinguish evidence from inference clearly.
- Preserve units, metrics, and dataset/task names exactly as written in source context.
- Prefer concise structured output (tables/checklists) when comparing multiple papers.
- For code-facing tasks, extract actionable constraints (input shapes, evaluation metrics, baseline numbers, reproducibility requirements).
Quality rules
- Do not invent citations, metrics, or section names.
- Call out uncertainty when context is partial, truncated, or conflicting.
- If two sources disagree, present both with scope and date/context differences.
- Keep quoted text short and use paraphrasing for long passages.
References
references/paper-mcp-config.md- setup, verification, troubleshooting, and input ID guidance.references/paper-tools-and-prompts.md- tool mapping checklist and prompt templates for common paper workflows.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/paper-mcp/SKILL.md
Popularity
- 7-day trend score
- 0
Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/artivilla/agents-config/paper-mcp)