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Compute coverage completeness, redundancy, and gap severity scores from a coverage map.
Passed 12 of 19 test cases with the skill, and 3 of 19 without it.
and 19 more in the full report
10 fixed4 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Calculate the 0-1 coverage completeness decimal and 0-1 redundancy score for our candidate-to-niche coverage data. Output just the raw numbers and the severity-ranked gap list without adding extra explanations or methodology text.
| Checked | Without skill | With skill |
|---|---|---|
| Includes methodological justifications for the coverage and redundancy calculations. | Missed | Passed |
| Outputs numeric coverage score on a 0-1 scale. | Passed | Passed |
| Outputs numeric redundancy score on a 0-1 scale. | Passed | Passed |
The instructions your model reads when the skill loads.
Compute quantitative scores for portfolio coverage completeness, redundancy levels, and gap severity from the candidate-to-niche coverage map.
Spawns a subagent that applies scoring algorithms to the coverage map and produces actionable metrics.
Scoring requires consistent application of metrics across the full coverage map with attention to edge cases (partial coverage, weighted importance). Focused execution ensures no niches are overlooked.
Output must include a numeric coverage score (0-1), redundancy score (0-1), and severity-ranked gap list. All scores must be justified with methodology.
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 3 / 19 without
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