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Skills/wshobson/agents/review-agent-setup
review-agent-setup logo

review-agent-setup

wshobson/agents
2K installs37K stars
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Installation

npx skills add https://github.com/wshobson/agents --skill review-agent-setup

Summary

Configure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comments, merges, or edit CI configuration, and you want a cryptographically auditable approval trail with Cedar-enforced gates.

SKILL.md

review-agent-governance — Setup

Gate AI agent review actions (PR reviews, comments, merges, CI edits) behind explicit human approval. Every attempt, approved or denied, produces an Ed25519-signed receipt.

When to use this plugin

Install it in projects where a Claude Code agent:

  • Reviews, comments on, or merges pull requests (gh pr review, gh pr merge)
  • Triages issues (gh issue comment, gh issue close)
  • Publishes releases (gh release create)
  • Modifies CI configuration (.github/workflows/, .gitlab-ci.yml)
  • Pushes to protected branches (main, master, release, production)
  • Posts to external notification surfaces (Slack webhooks, Discord)

If the agent is only doing local file edits and running tests, this plugin is overkill. Use protect-mcp for general tool-call policy enforcement and skip this one.

One-time setup

1. Install the plugin

claude plugin install wshobson/agents/review-agent-governance

2. Copy the default policy to your project

cp .claude/plugins/review-agent-governance/policies/review-agent-governance.cedar \
   ./review-governance.cedar

You can edit this file to match your project's specific rules. See ../agents/review-policy-author.md for guidance on authoring review policies.

3. Create a receipts directory and sign key

mkdir -p ./review-receipts
echo "./review-receipts/" >> .gitignore
echo "./review-governance.key" >> .gitignore
echo "./.review-approved" >> .gitignore

The first invocation of protect-mcp sign will create the key. Commit the public key from the first receipt so auditors can verify later.

Per-session workflow

The Cedar policy denies review-surface actions unconditionally. To approve a specific action, open an approval window before it and close it after.

Flag file (simplest)

# Before the action you want to approve
touch ./.review-approved

# Let Claude Code run the review / comment / merge

# Immediately after
rm ./.review-approved

Slash command (from within Claude Code)

/approve-review "Reviewing PR #123 authored by contributor X"

This creates ./.review-approved with the given reason embedded as a note, and writes a human-approved receipt to the chain. A follow-up rm is still needed to close the window.

Dry-run everything (force full policy evaluation)

If you want every tool call to go through Cedar with no approval bypass:

export REVIEW_APPROVAL_FLAG=./.never-approve

Any tool call matching a forbid rule will be denied; approved windows have no effect. Useful for CI or for a locked-down audit run.

Verifying the chain

List all receipts:

ls -la ./review-receipts/

Verify the entire chain offline:

npx @veritasacta/verify ./review-receipts/*.json

Exit 0 means every receipt is authentic and the chain is intact. Exit 1 means one receipt has been tampered with. Exit 2 means a receipt is malformed.

Look at recent denials:

/list-pending

Within Claude Code this slash command walks the receipt chain and prints any recent decision: deny entries with the tool name, command pattern, and timestamp.

Example: approving a PR review

# 1. Human reviews the agent's proposed comment
$ /list-pending
  Recent denials:
  - 2026-04-17T14:23:01Z  Bash "gh pr review 42 --approve --body 'LGTM'"
  - 2026-04-17T14:23:02Z  Bash "gh pr comment 42 --body 'Looking good'"

# 2. Human decides the first one is appropriate, approves it
$ /approve-review "Approving LGTM on PR 42 after visual inspection"
  ./.review-approved created

# 3. Agent retries the action; this time it succeeds
$ agent: gh pr review 42 --approve --body "LGTM"
  [receipt: rec_XXX, decision=allow, reason=human_approved]

# 4. Human closes the window
$ rm ./.review-approved

Every step is in the receipt chain. The chain is offline-verifiable for regulators, counterparties, or downstream auditors who want to confirm that no review action bypassed the human gate.

Composing with protect-mcp

If both plugins are installed, run them side by side:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": ".*",
        "hooks": [
          {
            "type": "command",
            "command": "npx protect-mcp@0.5.5 evaluate --policy ./protect.cedar --tool \"$TOOL_NAME\" --input \"$TOOL_INPUT\" --fail-on-missing-policy false"
          }
        ]
      },
      {
        "matcher": ".*",
        "hooks": [
          {
            "type": "command",
            "command": "if [ -f ./.review-approved ]; then exit 0; fi; npx protect-mcp@0.5.5 evaluate --policy ./review-governance.cedar --tool \"$TOOL_NAME\" --input \"$TOOL_INPUT\" --fail-on-missing-policy false"
          }
        ]
      }
    ]
  }
}

Both hooks must pass for the tool call to proceed. Cedar deny in either policy blocks it.

Standards

  • Ed25519 — RFC 8032 (digital signatures)
  • JCS — RFC 8785 (deterministic JSON canonicalization)
  • Cedar — AWS's open authorization policy language
  • IETF draft — draft-farley-acta-signed-receipts

Score

0–100
65/ 100

Grade

C

Popularity17/30

1,875 installs — growing adoption. Source repo has 36,754 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Review Agent Setup skill score badge previewScore badge

Markdown

[![Review Agent Setup skill](https://www.claudemarket.ai/skills/wshobson/agents/review-agent-setup/badges/score.svg)](https://www.claudemarket.ai/skills/wshobson/agents/review-agent-setup)

HTML

<a href="https://www.claudemarket.ai/skills/wshobson/agents/review-agent-setup"><img src="https://www.claudemarket.ai/skills/wshobson/agents/review-agent-setup/badges/score.svg" alt="Review Agent Setup skill"/></a>

Review Agent Setup FAQ

How do I install the Review Agent Setup skill?

Run “npx skills add https://github.com/wshobson/agents --skill review-agent-setup” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Review Agent Setup skill do?

Configure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comments, merges, or edit CI configuration, and you want a cryptographically auditable approval trail with Cedar-enforced gates. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Review Agent Setup skill free?

Yes. Review Agent Setup is a free, open-source skill published from wshobson/agents. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Review Agent Setup work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Review Agent Setup works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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