Assess artifact quality against a predefined standard and return a structured verdict.
npx skills add https://github.com/Q00/ouroboros --skill qa-q00
Please help me install this Agent Skill. Skill: qa Source: https://github.com/Q00/ouroboros/tree/main/skills/qa Command: npx skills add https://github.com/Q00/ouroboros --skill qa-q00
Quickly assesses artifacts against a predefined quality bar and returns a structured verdict with actionable next steps.
Run ooo qa [file_path | artifact_text] to evaluate your latest output and receive a structured verdict.
High-intent search queries and answers about installing and using this skill.
You can evaluate document quality by running the assessment tool with your file path or artifact text. It checks the artifact against a predefined quality bar and returns a structured verdict with actionable next steps to guide iterative improvement.
You can automate API response evaluation in environments without MCP by using the fallback deterministic internal judge. It requires a defined quality bar, clear artifact specification, and optional seed or reference data to drive deterministic results.
The best way to get actionable verdicts for test outputs is to run a single-pass quality assessment against a predefined standard. This process returns a structured verdict and recommended loop actions to guide iterative improvement.
The quality evaluation tool supports iterative improvement workflows by providing recommended loop actions alongside its structured verdicts. It determines artifact quality across code, docs, tests, and API responses in a single pass to guide your next steps.
You do not always need reference data to evaluate artifact quality, but providing optional seed or reference data helps drive deterministic results. A defined quality bar and clear artifact specification are required to perform the assessment.
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