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Extract gap-indicating sentences and phrases from papers/reviews. Identifies linguistic markers of research gaps (e.g., "remains unclear", "has not been explored", "limited understanding").
Passed 22 of 23 test cases with the skill, and 14 of 23 without it.
and 5 more in the full report
9 fixed13 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
A system runs 1 extraction pass on Survey A, 1 extraction pass on Survey B, and 1 extraction pass on Survey C. What is the final budget unit count recorded?
| Checked | Without skill | With skill |
|---|---|---|
| Calculates total consumption as 3 budget units | Missed | Passed |
The instructions your model reads when the skill loads.
Extract gap-indicating sentences and phrases from academic text.
Subagent — spawned via subagent-spawning/spawn-agent.
One unit = one extraction pass over a paper or review text.
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 14 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.