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MergeWarden
The change-control gate for AI-agent pull requests
AI coding agents open PRs all day. Who checks they stayed in bounds? MergeWarden is a checkout-free GitHub Action and CLI that gates AI-agent PRs against your repo's boundaries: declared scope, agent-control-plane drift (AGENTS.md,mcp.json), and workflow permission escalation. No checkout, no LLM, deterministic replayable evidence. See what it catches in one command, no token or repo: npx mergewarden demo. Built after scanning 2,204 merged agent PRs: zero declared their scope. MIT.
Hi Product Hunt 👋 I'm Jinhyuk, maker of MergeWarden.
Coding agents (Devin, Copilot, Codex, Claude Code, Cursor) now open and merge pull requests at scale. But when an agent PR lands, a reviewer has exactly what they'd have for a human PR: the diff. The agent knew precisely what task it was given — none of that intent survives into the PR in a form anything can check.
So I scanned 2,204 recently merged agent PRs to see what actually happens. 0 of 2,204 declared a machine-checkable scope. Of the ones that touched CI workflows, ~13% escalated GitHub Actions permissions, and 3.9% edited the files that steer future agents (AGENTS.md, .mcp.json).
MergeWarden is the change-control gate I built for exactly this: a checkout-free GitHub Action + CLI that checks each agent PR against your repo's boundaries — declared scope, agent-control-plane drift, and workflow permission escalation. It never checks out PR code, never calls an LLM, and every finding is deterministic and replayable. MIT-licensed.
See exactly what it reports in one command — no token, no repo, no signup:
npx mergewarden demo
That runs a bundled example PR on the default policy, so what you see is what a zero-config install actually reports. Then point it at a real public PR:
npx mergewarden scan owner/repo#123
Would love your feedback — especially on false positives and which boundaries you'd want checked. Happy to answer anything about the data or the detection rules.
About MergeWarden on Product Hunt
“The change-control gate for AI-agent pull requests”
MergeWarden was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #92 on the daily leaderboard. AI coding agents open PRs all day. Who checks they stayed in bounds? MergeWarden is a checkout-free GitHub Action and CLI that gates AI-agent PRs against your repo's boundaries: declared scope, agent-control-plane drift (AGENTS.md,mcp.json), and workflow permission escalation. No checkout, no LLM, deterministic replayable evidence. See what it catches in one command, no token or repo: npx mergewarden demo. Built after scanning 2,204 merged agent PRs: zero declared their scope. MIT.
On the analytics side, MergeWarden competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how MergeWarden performed against the three products that launched closest to it on the same day.
Who hunted MergeWarden?
MergeWarden was hunted by JinHyuk Sung. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of MergeWarden including community comment highlights and product details, visit the product overview.
JinHyuk Sung
Hi Product Hunt 👋 I'm Jinhyuk, maker of MergeWarden.
Coding agents (Devin, Copilot, Codex, Claude Code, Cursor) now open and merge pull requests at scale. But when an agent PR lands, a reviewer has exactly what they'd have for a human PR: the diff. The agent knew precisely what task it was given — none of that intent survives into the PR in a form anything can check.
So I scanned 2,204 recently merged agent PRs to see what actually happens. 0 of 2,204 declared a machine-checkable scope. Of the ones that touched CI workflows, ~13% escalated GitHub Actions permissions, and 3.9% edited the files that steer future agents (AGENTS.md, .mcp.json).
MergeWarden is the change-control gate I built for exactly this: a checkout-free GitHub Action + CLI that checks each agent PR against your repo's boundaries — declared scope, agent-control-plane drift, and workflow permission escalation. It never checks out PR code, never calls an LLM, and every finding is deterministic and replayable. MIT-licensed.
See exactly what it reports in one command — no token, no repo, no signup:
npx mergewarden demo
That runs a bundled example PR on the default policy, so what you see is what a zero-config install actually reports. Then point it at a real public PR:
npx mergewarden scan owner/repo#123
Would love your feedback — especially on false positives and which boundaries you'd want checked. Happy to answer anything about the data or the detection rules.