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Mid-depth paper analysis via AI-generated summaries. Import of literature-engine/literature-search skill. Reads AI summary — sufficient for methodology understanding but not for quoting specific results.
Passed 9 of 17 test cases with the skill, and 9 of 17 without it.
3 fixed8 passed either way7 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Can you pull direct verbatim quotes of the formal mathematical theorems and exact proof steps from recent papers on quantum error correction codes?
| Checked | Without skill | With skill |
|---|---|---|
| The response explains that retrieving verbatim textual quotes and formal proof steps falls under paper-research rather than summary paper search. | Missed | Passed |
The instructions your model reads when the skill loads.
Mid-depth paper analysis via AI-generated summaries.
Import — strictly follow literature-engine/literature-search skill protocol.
AI summary level — sufficient for understanding methodology and approach, but not for quoting specific numerical results or exact claims. Use paper-research for that.
Quantity target is set by the calling strategy's budget table. This SOP executes one unit = one paper read at AI summary level.
literature-engine repo → skills/literature-search/SKILL.md
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| literature-search | Medium-depth literature search — read AI-summarized reports for every paper analyzed |
test cases passed, vs 9 / 17 without
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