Edit from @eddie-knight
This was originally opened as pre-emptive discussion. As the conversation has coalesced into a proposal, I have adjusted the name accordingly. Please reference the comments below for the official SIEP details.
Hi maintainers,
Opening this as a scope-check question rather than a formal [SIEP] since I am a non-maintainer and want to gauge fit before asking for sponsorship.
Context
AI agents are increasingly producing code and commits in OSS repositories, typically through Claude Code, Cursor, or similar tool-calling hosts. A downstream consumer of a package looking at security-insights.yml can learn whether the project has a vulnerability reporting process, a signing policy, etc. They cannot currently learn whether the code was produced wholly or partly by an AI agent, and if so, what governance was in place.
This is a self-report gap that feels like a natural fit for Security Insights: machine-readable, self-declared, relative to the commit or release, and lets end-users and tooling make informed decisions. I do not think it fits SBOM (which is about dependencies, not production method) or SLSA directly (which is about build provenance, not self-declaration).
Sketch of what fields might look like
Not a formal proposal, just a starting point to discuss whether the shape is right:
project:
agent-usage:
status: partial # none | partial | primary
description: |
AI agents are used for test generation and documentation updates
under human review. Production code is primarily human-authored.
governance:
policy-source: https://github.com/example/policy.cedar
policy-digest: sha256:8f3a...
receipts-verifier: "npx @veritasacta/verify"
receipts-format: draft-farley-acta-signed-receipts
agents:
- name: claude-code
runtime-uri: https://claude.com/claude-code
- name: cursor
runtime-uri: https://cursor.sh
The fields are all self-declared (same trust model as the rest of SI), machine-parseable, and let downstream tooling filter or flag based on declared agent usage.
Questions for the maintainers
- Scope: is "production method" (human vs agent) something Security Insights wants to model, or is that out of scope on purpose?
- Precedent: are there existing fields I should map onto instead of proposing new ones? The closest I see are the
repository.code-of-conduct and distribution-points fields, but neither is a tight fit.
- Sponsorship: if the idea has scope fit, is there a maintainer interested in sponsoring a formal SIEP? Happy to do the drafting and schema work.
- Timing: does this intersect with current work on the spec (e.g., is 2.2 or 3.0 accepting new top-level fields)?
Why this matters to the broader ecosystem
This intersects with several concurrent efforts I have been tracking:
The downstream piece that is missing is the self-declaration layer where a project announces "yes, agents produced some of this, here is how to verify." Security Insights already plays that role for the rest of the security posture, which is why I am asking here first.
Acknowledgment
Happy to defer to maintainer judgment on whether this fits the spec charter. If the answer is "out of scope, try OSPS Baseline or a sibling project instead," that is useful information too.
Thanks for the work on the spec.
Tom Farley
(independent contributor; author of draft-farley-acta-signed-receipts)
Hi maintainers,
Opening this as a scope-check question rather than a formal [SIEP] since I am a non-maintainer and want to gauge fit before asking for sponsorship.
Context
AI agents are increasingly producing code and commits in OSS repositories, typically through Claude Code, Cursor, or similar tool-calling hosts. A downstream consumer of a package looking at
security-insights.ymlcan learn whether the project has a vulnerability reporting process, a signing policy, etc. They cannot currently learn whether the code was produced wholly or partly by an AI agent, and if so, what governance was in place.This is a self-report gap that feels like a natural fit for Security Insights: machine-readable, self-declared, relative to the commit or release, and lets end-users and tooling make informed decisions. I do not think it fits SBOM (which is about dependencies, not production method) or SLSA directly (which is about build provenance, not self-declaration).
Sketch of what fields might look like
Not a formal proposal, just a starting point to discuss whether the shape is right:
The fields are all self-declared (same trust model as the rest of SI), machine-parseable, and let downstream tooling filter or flag based on declared agent usage.
Questions for the maintainers
repository.code-of-conductanddistribution-pointsfields, but neither is a tight fit.Why this matters to the broader ecosystem
This intersects with several concurrent efforts I have been tracking:
draft-sharif-mcps-secure-mcp: agent identity via per-message ECDSA signingdraft-farley-acta-signed-receipts: per-tool-call decision receipts (I am the author)The downstream piece that is missing is the self-declaration layer where a project announces "yes, agents produced some of this, here is how to verify." Security Insights already plays that role for the rest of the security posture, which is why I am asking here first.
Acknowledgment
Happy to defer to maintainer judgment on whether this fits the spec charter. If the answer is "out of scope, try OSPS Baseline or a sibling project instead," that is useful information too.
Thanks for the work on the spec.
Tom Farley
(independent contributor; author of draft-farley-acta-signed-receipts)