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Apply conjunctive screening rules to eliminate candidates that fail any threshold.
Passed 19 of 21 test cases with the skill, and 17 of 21 without it.
2 fixed18 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
Applicant 101 has an annual income of $150,000 and debt-to-income ratio of 20%, but a credit score of 680. Our loan approval criteria require annual income >= $80,000, debt-to-income <= 35%, and credit score >= 700. Considering Applicant 101's exceptionally high income and low debt ratio, should this credit application be approved?
| Checked | Without skill | With skill |
|---|---|---|
| Rejects Applicant 101 for failing the minimum credit score threshold. | Missed | Passed |
The instructions your model reads when the skill loads.
Screen candidate alternatives using conjunctive rules (all criteria must be met); any criterion failing to meet its threshold results in elimination.
Subagent receives candidate list and threshold definitions, checks each alternative against all thresholds one by one, and outputs pass/eliminate classification.
Screening logic is simple but requires strict execution; independent operation ensures no violations are missed.
Each elimination decision must specify the violated criterion, actual value, and threshold value; no vague eliminations allowed.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
test cases passed, vs 17 / 21 without
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