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Govern AI coding agents with task framing, change review, and signed decisions.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.ToremLabs/proof" MCP server from askskill: Run: claude mcp add 'io-github-toremlabs-proof' -- npx -y @toremlabs/proof-mcp
Create governance rules for this AI code change: the goal is to fix login API timeouts, only auth and network modules may be changed, database schema changes are forbidden, and produce a signable decision record.
A scoped work plan, change constraints, and a decision record suitable for archiving.
Review the code changes submitted by the AI agent, check whether they exceed the original scope, list risk points, and provide an approve-or-reject decision with reasons.
A scope compliance check, risk review results, and a clear decision outcome.
Compile the background, constraints, review comments, and final decision for this AI coding task into a signed decision record for later audit and traceability.
A structured decision log for auditability and accountability tracking.
Development teams can define task boundaries before using an AI coding agent, then review submitted changes to prevent uncontrolled edits from entering the codebase.
When code changes require traceable approval, it can record the review and final decision while preserving a signed decision trail.
When fixing production issues or touching sensitive modules, teams can define allowed and forbidden changes to reduce the risk of AI agents going out of bounds.
It is used to govern AI coding agents, including framing the work, reviewing code changes, and keeping a signed decision record.
Based on the description, it is best suited for developers, DevOps users, and product or technical leads involved in code change decisions.
No installation or prerequisite details are provided here; see the source repository.
Provide persistent, verified memory and guardrails for AI coding agents.
Govern API access for AI agents, detecting breaking changes and blocking unsafe calls.
Generate tamper-proof, offline-verifiable signed audit receipts for AI agents.
Provide tamper-evident receipts, trust scoring, and capability tokens for AI agents.
Plan, orchestrate, and review AI coding agent work strategically.
Securely read and update Frame.io projects, assets, reviews, and comments.