agent-qa-authoring
FeaturedCreate, edit, validate, and run Agent QA tests, suites, and hooks through MCP or CLI while preserving canonical IDs and schema contracts.
AI & Automation 46,271 stars
6746 forks Updated 2 days ago MIT
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# Agent QA Authoring
## Overview
Author Agent QA tests, suites, and hooks without inventing schema fields or identifiers. Prefer Agent QA's MCP tools, use the bundled contract reference for exact fields, and validate every definition before saving or running it.
## When to Use
- Creating or editing an Agent QA test, suite, or hook.
- Validating Agent QA YAML or canonical IDs.
- Running a newly authored Agent QA definition through MCP or CLI.
- Investigating which Agent QA configuration fields or workspace patterns apply.
## Preconditions and Approval Boundary
- Work only in a configured Agent QA workspace that the user has authorized.
- Inspect the requested scope before any create, update, delete, or test-run operation.
- Obtain explicit confirmation before deleting a definition or running a test that can change external application state.
- Keep credentials out of definitions and output; use the workspace's configured secret handling.
## Workflow
1. Discover the local surface with `agent_qa_discover`.
2. Inspect active config with `agent_qa_get_config`, especially targets, devices, providers, and `services.mcp`.
3. Load `references/agent-qa-contracts.json` when exact schema fields or ID contracts are needed.
4. Generate every new ID with Agent QA tooling:
- MCP: `agent_qa_generate_id`
- CLI fallback: `agent-qa ids generate <test|suite|hook|run|observation>`
- If neither surface is already installed, stop and ask the user to approve
an exact Agent QA in...
Details
- Author
- sickn33
- Repository
- sickn33/agentic-awesome-skills
- Created
- 7 months ago
- Last Updated
- 2 days ago
- Language
- Python
- License
- MIT
Integrates with
Bundled in these plugins
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