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Abstract-level paper scanning for broad coverage. Import of literature-engine/literature-overview skill. Abstract-level only — no methodology conclusions from abstracts.
Passed 16 of 22 test cases with the skill, and 9 of 22 without it.
and 6 more in the full report
7 fixed9 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are kicking off a new project on zero-shot multi-modal alignment. Please perform a broad paper discovery scan across recent publications, summarizing key ideas from abstract-level views so I can understand the current research landscape.
| Checked | Without skill | With skill |
|---|---|---|
| Limits claims to abstract-level leads rather than asserting definitive methodology performance conclusions | Missed | Passed |
| Refrains from presenting detailed full-text implementation specifics or precise experimental failure modes | Passed | Passed |
The instructions your model reads when the skill loads.
Abstract-level paper scanning for broad coverage.
Import — strictly follow literature-engine/literature-overview skill protocol.
Abstract-level only — do not draw methodology conclusions from abstracts alone. Abstracts provide leads for deeper investigation (paper-search or paper-research).
Quantity target is set by the calling strategy's budget table. This SOP executes one unit = one paper scanned at abstract level.
literature-engine repo → skills/literature-overview/SKILL.md
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| literature-overview | Quick landscape scan — discover papers on a topic without full-text reading |
test cases passed, vs 9 / 22 without
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