The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Taplid listing page.
Audit AI outputs and validate structured artifacts before you trust them.
Taplid checks LLM responses, AI code reviews, SQL, Docker, Kubernetes YAML, JSON Schema, API contracts, configs, security rules, and technical review claims against supplied context, schema, code, config, or policy.
Taplid has three core operations:
Run an audit
Run a Standard or Artifact audit against supplied context, schema, code, config, or policy.
Retrieve an audit
Retrieve a persisted public audit result by auditId.
Verify an audit
Verify the signed attestation, issuer, signed fields, and result hash for a saved audit.
Artifact mode works as a schema checker, config validator, SQL schema checker, Docker/Kubernetes checker, API contract validator, and AI code-review verifier.
Use it for:
| Package | Purpose |
|---|---|
@taplid/client | Server-side SDK |
@taplid/cli | Local and CI audit checks |
@taplid/mcp | MCP server for Claude, Cursor, OpenAI-compatible agents, and other MCP clients |
The full integration guide, code examples, response format, CLI commands, MCP setup, OpenAI-compatible usage, retrieval, and verification examples are maintained here:
This README intentionally stays small so the official documentation remains the source of truth.