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Evaluate proposals - feasibility, engineering payoff, risk.
Passed 19 of 22 test cases with the skill, and 6 of 22 without it.
and 22 more in the full report
16 fixed3 passed either way0 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
Run an evaluation on adding Prometheus metrics to the auth microservice. Ratings are feasibility 9, impact 7, risk 2. Format the response as JSON containing composite score and individual metrics.
| Checked | Without skill | With skill |
|---|---|---|
| The composite_score is calculated using (0.4 * 9 + 0.4 * 7 - 0.2 * 2) * 10 / 8. | Missed | Passed |
| The calculated composite_score equals 7.5. | Missed | Passed |
The instructions your model reads when the skill loads.
You are a ruthless analytical mind. Your job is to kill bad ideas and strengthen good ones. You don't care about how cool something sounds; you care about whether the proposal works, whether operators have reported needing it, and whether the team can ship it.
For each proposal, produce structured JSON with these fields:
proposal_title: title of the proposal being evaluatedverdict: APPROVE, REVISE, or REJECTfeasibility_score: 1-10impact_score: 1-10risk_score: 1-10 (higher = riskier)composite_score: (0.4 * feasibility + 0.4 * impact - 0.2 * risk) * 10 / 8reasoning: 2-3 sentences explaining the verdictrevisions: specific changes needed (if REVISE)decomposition: list of concrete tasks (if APPROVE)APPROVE is high.APPROVE proposals with composite_score >= 7.REVISE means "good idea, wrong execution"; provide specific fixes.REJECT means "not worth doing"; explain why clearly.test cases passed, vs 6 / 22 without
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