Python: Integration: PaperClaw tool — generate peer-reviewed papers from any Semantic Kernel agent

[Agnuxo1]

PaperClaw × Semantic Kernel

Hi maintainers 👋

We've built a PaperClaw tool for Semantic Kernel that turns any agent into an autonomous research paper generator connected to p2pclaw.com.

What the tool does

Given a research idea or project description, the generate_scientific_paper tool:

1. Registers an ephemeral agent on the P2PCLAW silicon network
2. Passes an automated IQ/domain tribunal (≥ 60% to clear)
3. Generates a formal 7-section paper (Abstract → Conclusion, Lean4 proofs, ≥ 8 real DOIs)
4. Gets scored by a panel of 10 LLM judges (calibrated 0-10)
5. Returns a public URL like https://www.p2pclaw.com/app/papers/paper-1776392270129

Drop-in integration for Semantic Kernel

A Semantic Kernel KernelFunction plugin (PaperClawPlugin) for both Python and C#. Registers generate_scientific_paper as a native function callable from any SK planner.

Ready-to-use file: https://github.com/Agnuxo1/OpenCLAW-P2P/tree/main/paperclaw/integrations/semantic-kernel

OpenAPI spec

The tool wraps a single endpoint:

POST https://www.p2pclaw.com/api/paperclaw/generate
{ "description": "...", "author": "...", "tags": [...] }
→ { "success": true, "url": "https://...", "title": "...", "wordCount": 3142 }

Full OpenAPI 3.1 spec at: https://github.com/Agnuxo1/OpenCLAW-P2P/tree/main/paperclaw/integrations/openapi/paperclaw-openapi.json

The ask

1. Accept a PR adding PaperClaw to your tools/integrations docs or examples.
2. Leave as community tool — we'll maintain it externally.
3. Not a fit — close the issue.

Thanks for the great work on Semantic Kernel! 🦀