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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
GitHub - sjh9714/Agent-Gate: Deterministic CI firewall fo...
sjh9714 · 2026-06-14 · via Hacker News - Newest: "AI"

Release CI Agent Gate License

No AI PR gets merged without proof.

Agent Gate is a deterministic CI firewall for AI-generated pull requests. It checks PR contracts, risky paths, agent instruction drift, workflow permissions, and test evidence before merge.

The Action uses no checkout of PR code, no runtime LLM calls, no repository script execution, and no policy loaded from an untrusted PR head. The same analyzer also powers local replay fixtures for deterministic demos.

Status

Agent Gate is pre-release. v0.1.0 is available as a GitHub prerelease. The core analyzer, CLI replay, root GitHub Action, PR comments, self-dogfooding workflow, and CI are implemented. APIs and rule names may change in later releases.

For released installs, prefer @v0.1.0 or a pinned commit SHA. @main tracks ongoing development.

See docs/v0.1.0-release-notes.md and docs/release-verification-v0.1.0.md for release notes and verification.

See docs/repository-governance.md for recommended branch protection and release safety settings.

See docs/launch-announcement-draft.md for a reusable launch announcement draft.

Feedback on AI-generated PR safety policies is welcome in #27.

What It Catches

  • Out-of-contract edits: agent PRs changing files outside their declared scope.
  • Workflow permission escalation: Actions workflows gaining broader write access.
  • Agent control-plane drift (agent-control-plane/drift): instruction or tool config changes that affect future agents.
  • Missing test evidence: high-risk source changes without matching test file changes.
  • MCP config drift: .mcp.json changes that alter which tools agents can call.

Why

AI agents can open pull requests. Tests do not always catch:

  • out-of-scope edits
  • workflow permission escalation
  • agent control-plane drift
  • missing test evidence
  • MCP config drift

Replay Demo

Human-readable output for demos:

pnpm --filter agent-gate build
node packages/cli/dist/main.js replay fixtures/unsafe-pr-zoo/workflow-permission-escalation

Example output:

Agent Gate: BLOCKED

ERROR workflow/permission-escalation
contents permission increased from read to write.
Path: .github/workflows/release.yml

ERROR workflow/dangerous-pattern
.github/workflows/release.yml contains a dangerous GitHub Actions workflow pattern.
Path: .github/workflows/release.yml

Machine-readable JSON report:

node packages/cli/dist/main.js replay fixtures/unsafe-pr-zoo/workflow-permission-escalation --format json

Expected result: Agent Gate reports a blocked PR with workflow/permission-escalation and workflow/dangerous-pattern findings.

Additional unsafe-pr-zoo demos:

  • agent-control-plane-drift: blocks AGENTS.md changes because they can change future agent behavior.
  • out-of-scope-agent-edit: blocks a payment webhook edit outside the PR contract's allowed_paths.
  • missing-test-evidence: blocks an auth logic change without matching auth test changes.
  • mcp-config-drift: blocks .mcp.json changes because MCP config can change which tools an agent can call.
node packages/cli/dist/main.js replay fixtures/unsafe-pr-zoo/agent-control-plane-drift
node packages/cli/dist/main.js replay fixtures/unsafe-pr-zoo/out-of-scope-agent-edit
node packages/cli/dist/main.js replay fixtures/unsafe-pr-zoo/missing-test-evidence
node packages/cli/dist/main.js replay fixtures/unsafe-pr-zoo/mcp-config-drift

Install

Add Agent Gate to a repository with a pull request workflow. No checkout step is required.

name: Agent Gate

on:
  pull_request:
    types:
      - opened
      - synchronize
      - reopened
      - edited
      - labeled
      - unlabeled
      - ready_for_review

permissions:
  contents: read
  pull-requests: read

jobs:
  agent-gate:
    runs-on: ubuntu-latest
    steps:
      - uses: sjh9714/Agent-Gate@v0.1.0
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          mode: warn
          fail-on-block: false

Agent Gate loads policy from the PR base branch and does not execute PR branch code. Start with mode: warn and fail-on-block: false, tune the findings, then move to mode: block when ready.

To let Agent Gate create or update a PR report comment, add issues: write to the workflow permissions and set comment: true. Keep contents: read and pull-requests: read; no checkout step is needed. On fork pull requests, GitHub may still provide a read-only token, so comment failures are reported as warnings instead of failing the action.

permissions:
  contents: read
  pull-requests: read
  issues: write

with:
  comment: true

Create agent-gate.yml in the repository root:

version: 1
mode: warn

contract:
  required_for:
    - agent
  allow_missing_in_observe_mode: true

agent_detection:
  authors:
    - github-copilot[bot]
  labels:
    - ai
    - agent
    - codex
  branch_patterns:
    - "codex/**"
    - "ai/**"

high_risk_paths:
  workflows:
    paths:
      - ".github/workflows/**"
    severity: error

Teams can add auth, payments, infra, and agent-control-plane paths as their policy matures.

Packages

  • packages/core: pure analysis engine, built-in deterministic rules, and JSON/Markdown report renderers.
  • packages/cli: agent-gate replay <fixture-dir> for deterministic local fixture demos.
  • packages/action: Node 20 GitHub Action package that reads pull request data through GitHub APIs and calls the core analyzer.

Action Package

External users should prefer the root action with sjh9714/Agent-Gate@<ref>. The package-local action remains at packages/action/action.yml for this repository's own development workflow. Both use REST APIs only: they load agent-gate.yml from the PR base ref, read changed-file metadata and file contents from the API, run @agent-gate/core, write JSON/Markdown reports, set action outputs, write the job summary, and optionally upsert one marked PR report comment. They do not checkout the pull request or execute repository scripts.

Self-Dogfooding

Agent Gate runs against this repository's pull requests through .github/workflows/agent-gate.yml. The workflow uses sjh9714/Agent-Gate/packages/action@main, so pull requests do not execute Action code from their own branches while the action itself is under development. It starts in non-blocking warn mode while the project tunes early policy.

Commands

pnpm install
pnpm test
pnpm typecheck
pnpm lint
pnpm build

Principle

Agent Gate must not call LLMs at runtime, execute PR-controlled code, or load policy from an untrusted PR head. The core analysis package must remain independent from GitHub APIs.