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Evaluate execution with three-stage verification pipeline
Passed 7 of 17 test cases with the skill, and 2 of 17 without it.
and 4 more in the full report
8 fixed1 passed either way11 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
The evaluation failed during Stage 1 mechanical verification because unit tests failed, but code changes were produced in the worktree. Which automated fix loop tool should be suggested in the breadcrumb?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends 'ooo ralph' in the breadcrumb footer. | Missed | Passed |
The instructions your model reads when the skill loads.
Evaluate an execution session using the three-stage verification pipeline.
/ouroboros:evaluate <session_id> [artifact]
Trigger keywords: "evaluate this", "3-stage check"
The evaluation pipeline runs three progressive stages:
Stage 1: Mechanical Verification ($0 cost)
Stage 2: Semantic Evaluation (Standard tier)
Stage 3: Multi-Model Consensus (Frontier tier, optional)
When the user invokes this skill:
The Ouroboros MCP tools are often registered as deferred tools that must be explicitly loaded before use. You MUST perform this step before proceeding.
test cases passed, vs 2 / 17 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.