evaluate

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Evaluate execution with three-stage verification pipeline

AI & Automation 5,596 stars 559 forks Updated today MIT

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# /ouroboros:evaluate Evaluate an execution session using the three-stage verification pipeline. ## Usage ``` /ouroboros:evaluate <session_id> [artifact] ``` **Trigger keywords:** "evaluate this", "3-stage check" ## How It Works The evaluation pipeline runs three progressive stages: 1. **Stage 1: Mechanical Verification** ($0 cost) - Lint checks, build validation, test execution - Static analysis, coverage measurement - Fails fast if mechanical checks don't pass 2. **Stage 2: Semantic Evaluation** (Standard tier) - AC compliance assessment - Goal alignment scoring - Drift measurement - Reasoning explanation 3. **Stage 3: Multi-Model Consensus** (Frontier tier, optional) - Multiple models vote on approval - Only triggered by uncertainty or manual request - Majority ratio determines outcome ## Instructions When the user invokes this skill: ### Load MCP Tools (Required first) The Ouroboros MCP tools are often registered as **deferred tools** that must be explicitly loaded before use. **You MUST perform this step before proceeding.** 1. Use the active runtime's tool-discovery capability to find and load the evaluate MCP tools: ``` tool discovery query: "+ouroboros evaluate" ``` 2. The tool will typically be named `mcp__plugin_ouroboros_ouroboros__ouroboros_start_evaluate` (with a plugin prefix). After runtime tool discovery returns, the tool becomes callable. 3. If the tool is callable — already exposed, or loaded by discovery ...

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Author
Q00
Repository
Q00/ouroboros
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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