Seedlabs

AI Contribution Policy Bot

A GitHub app that automatically enforces open-source projects' AI-contribution policies on every pull request, requiring disclosure and labeling AI-assisted code for maintainers.

EngineeringIntegrated Energy Systems Optimization
Microbial Symbiosis and ResistanceOpen-source software governance and developer tooling

Concept

A GitHub App that turns a repository's written AI-contribution policy into an automated gate on every pull request. When a PR opens, the bot requires the author to declare whether AI tools generated or assisted the contribution, attaches the repo's policy acknowledgment, and labels the PR so maintainers can triage AI-assisted code separately. The single wedge is enforcement of AI-contribution disclosure in open-source repositories, with zero manual policing.

Why now

PyPSA v1.2.1 [0] added explicit AI contribution guidelines — direct evidence that maintainers of production scientific software now treat AI-generated contributions as a governance problem requiring formal rules. The same release notes show why manual enforcement cannot scale: automated dependency-bump PRs, first-time contributors, and CI/release-pipeline churn all flow through the same review queue. A policy without automation either goes unenforced or consumes scarce maintainer time.

Written by GLM · 2 Oct 2026

AI assessment

Backed by 1 paper87

A pragmatic, low-complexity tool that solves a real governance pain point for OSS maintainers, though it lacks a deep technical moat.

Evidence strength
4/5
The idea is directly derived from a specific, documented change in a production-grade scientific software project (PyPSA), proving a real-world need for AI policy enforcement.
Market pull
3/5
While there is clear urgency for maintainers, the 'buyers' are often non-profit foundations or volunteers, making the monetization path less certain than a corporate SaaS.
Novelty & moat
5/5
The idea is entirely distinct from the listed catalog items, filling a gap in AI governance and developer tooling that is not addressed by the other entries.
Feasibility
5/5
Building a GitHub App to trigger a PR checklist and apply labels is a straightforward engineering task that could be prototyped in days.
Wedge clarity
5/5
The wedge is extremely sharp: a single, automated gate for AI disclosure on pull requests.
Simplicity / focus
5/5
The product is focused on one specific function without attempting to build an over-scoped platform.

Scored by Gemma 4 · 2 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • PyPSA open-source projectorganization

    Just adopted AI contribution guidelines in v1.2.1; a bot enforces them at PR time so the small maintainer team does not have to police compliance manually.

  • NumFOCUSorganization

    Sponsors dozens of scientific Python projects facing the same wave of AI-generated contributions; a standard enforcement bot could be offered across its sponsored projects.

  • Linux Foundationorganization

    Hosts hundreds of projects that must update contribution policies for AI; automated disclosure gates reduce provenance and legal risk at ecosystem scale.

  • Red Hatcompany

    Maintains large open-source projects with strict contribution policies; automated AI-disclosure enforcement cuts review burden and protects software supply-chain provenance.

Research it builds on

  1. PyPSA: Python for Power System Analysis
    Brown, Tom, Jonas Hörsch, David Schlachtberger · 2026 · 524 citations
    All ideas from this paper →
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feasibility