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Add fail-closed quality gates and hash-chained audit receipts to AI agent workflows.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Jott2121/agent-gate" MCP server from askskill: Run: claude mcp add 'io-github-jott2121-agent-gate' -- npx -y mcp-agent-gate
Add agent-gate to my AI agent release workflow: immediately block execution if test coverage is below 85%, required output fields are missing, or security checks fail, and generate a hash-chained audit receipt.
Configured quality gate rules, blocking conditions, and a traceable hash-chained audit record.
Enable agent-gate for a multi-step AI agent task so that after each step it records inputs, outputs, validation results, and timestamps, then links receipts into a verifiable hash chain.
A step-by-step receipt ledger for reviewing the agent process and verifying result integrity.
Integrate agent-gate into an AI workflow handling sensitive data; if it detects unauthorized tool calls, policy violations, or abnormal outputs, terminate the task in fail-closed mode and preserve an audit receipt.
A blocking mechanism with security validation rules and verifiable incident handling and audit records.
Generate tamper-evident, post-quantum receipts for agent actions with offline verification.
Govern AI agent spending, deduplicate requests, and settle usage with x402.
Provides exactly-once guards for AI agents to prevent duplicate actions on retries.
Check payment addresses or URLs for risk before AI agents send money.
Create verifiable delegation chains for AI agents with scoped multi-hop authorization
Attach redacted agent transcripts to GitHub PRs or issues for local provenance.