How to Prove What Your AI Agent Did, in Minutes: ZizkaDB’s Two GitHub Actions and MCP Listing

Описание и применение

Автоматизированный процесс доказательства действий ИИ‑агента с помощью GitHub Actions ZizkaDB Why и ZizkaDB Audit, обеспечивающий быстрые цепочки причин и проверяемые отчёты для аудита.

Задача

Teams need quick, verifiable proof of AI agent actions for debugging failures and audit compliance.

Результат

The workflow automates evidence generation for AI agent failures and audits, reducing debugging time and audit preparation costs, while providing verifiable, tamper‑evident records.

Рабочий процесс

• Add ZizkaDB Why action to a test workflow to log failures and post causal chains to PRs.
• Configure agent SDK to log steps with parent links for causal tracing.
• Add ZizkaDB Audit action to a scheduled workflow to verify hash chains, export history, and produce attestable reports.
• Verify the audit report with gh attestation verify to ensure integrity.
• Optionally add the MCP server to editor clients via registry or manual config for in‑app visibility.

Доказательства

ZizkaDB now gives you two ready‑made GitHub Actions and an official MCP listing that answer those questions automatically.

Источник

The action starts ZizkaDB inside the runner, runs your tests, and posts the causal chain of any failure to the job summary and the PR.

Источник

Each run checks every agent’s hash chain, exports the full history, and writes a report. If any event was edited, inserted, reordered, or deleted without a record, the step fails and names the event.

Источник