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.github/profile/README.md
open-coder-ai organisation mark: two gold chevrons held apart around a solid diamond, on a navy rounded square.

Open Coder AI

Governance as code for AI coding agents — and an honest account of where it holds.

chock · policy catalog · agentseam · context-report · threat intel

AI coding agents produce changes faster than people can review them, and the rules meant to constrain them are prose: a line in CLAUDE.md, a .cursorrules, a copilot-instructions.md. Prose is a suggestion. An agent can ignore it, and on an open project a contributor brings an agent you never chose.

We build the control layer. Write a rule once, and a compiler turns it into the strongest thing each agent actually supports: a git hook, a CI gate, a native pre-execution hook, or, where nothing better exists, rule text labelled as advice. What is enforced and what is only advised is derived from the repository and checked in CI, never typed into a README.

The rule we hold ourselves to

A rule an agent reads is advice. A hook that exits non-zero is a control. Both belong in a repo, and the difference has to be visible.

  • A claim must match a mechanism. A policy that does not exit non-zero is advisory, and the tooling labels it that way whatever its manifest says.
  • Witnessed, not asserted. An enforcement grade rises only after a real install was seen to block. Vendor documentation earns a lower grade than a live run, and the grade records which it was.
  • Guardrails, not guarantees. Pattern-based guards can be evaded, --no-verify skips a git hook, and a fresh clone enforces nothing until it is wired. Every repo's SECURITY.md says so up front.

What we build

Project What it is Start
chock The framework. One policy becomes a git hook, a CI gate, native hooks in Claude Code, Cursor, Copilot CLI and VS Code, and an AGENTS.md for the rest — plus a coverage report that says where a guarantee holds. pip install chock
chock-catalog The policies: secret scanning, protected branches, destructive-command guards, an OWASP Agentic Security pack. Each is labelled with what it actually reaches. chock add scan-secrets
agentseam The primitives layer underneath: one handler API over every agent's hooks, instruction files, plugin packaging and config, with a capability matrix that carries its provenance. Stdlib only. pip install agentseam
context-report An open, signed report format for one question: does this plugin, hook, skill or AGENTS.md actually work? Reachability, fault behaviour, cost and efficacy, each row saying whether it is re-derivable or only claimed. pip install context-report
chock-threat-intel A weekly, human-reviewed digest of agentic-AI threats, each scored against the catalog: enforced, advisory, or policy wanted. the ledger
chock-claude-plugins · copilot · cursor · codex The catalog compiled into each client's native plugin format. Generated only: CI rebuilds from source and fails on any difference. add as a marketplace
chock-quickstart · chock-example Template repositories: exactly what chock init leaves behind, and a working adoption with one policy per layer. Use this template

Two minutes to a blocked commit

pip install chock
chock init
chock add protect-main-branch
chock sync
git commit -m "straight to main"    # exits non-zero, whichever agent or human typed it

Contribute — most of it needs no code

  • Evidence from your own agent. Most rows in the capability matrix rest on vendor documentation, not on anyone watching the agent run. If you have Cursor, Codex, Gemini CLI, Windsurf or another agent installed, agentseam's probe reports what your version actually does. A result that contradicts the matrix is the most valuable thing you can send.
  • "This policy is wrong." An overstated policy is worse than a missing one. Open it on the catalog; that issue template exists for a reason.
  • A policy for your stack. chock init installs a policy-init skill that scaffolds a conformant folder, and the policy wanted entries in the threat ledger are an open work list.
  • A first issue. good first issue on chock and on context-report; comment to claim one.
  • Docs, diagrams, clearer CLI output. First-class in every repo, and the fastest way in.

Every repository is Apache-2.0, takes DCO-signed commits (git commit -s), and reads the whole diff before merge — agent-authored included. Use an agent if you want to; keep the Co-Authored-By trailer it adds, and be able to defend every line.

Where things happen

  • Questions and ideas → Discussions on chock, chock-catalog and context-report. Telling us what is confusing is a contribution.
  • Bugs → an issue on the repo that owns the source. The plugin repositories are compiled output; they point you to the catalog.
  • Vulnerabilities → the private advisory linked from each repo's SECURITY.md, never a public issue.

Chock (rhymes with "block"): the wedge set against a wheel so it cannot roll until someone deliberately removes it.

Pinned Loading

  1. open-coder-ai/chock open-coder-ai/chock Public

    Governance-as-code for AI coding agents: author a policy once, enforce it on every agent (Claude, Copilot, Cursor, Codex) via git hooks, CI, and native controls.

    Python 3 1

  2. open-coder-ai/chock-catalog open-coder-ai/chock-catalog Public

    Policies that stop your coding agent from doing the thing you would have caught in review. The policy catalog for Chock: git-hook gates, command guards, and agent rules with replayed evals.

    Python 1

  3. .github .github Public

  4. open-coder-ai/agentseam open-coder-ai/agentseam Public

    The primitives layer for every coding agent — one handler API over per-agent hooks, instruction files, plugin packaging, and config.

    Python

  5. open-coder-ai/chock-threat-intel open-coder-ai/chock-threat-intel Public

  6. open-coder-ai/context-report open-coder-ai/context-report Public

    An open, signed report format for whether an agent plugin, hook, skill, or AGENTS.md actually works.

    Python