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Break down full ICLR reviewer responses into structured rebuttal units.
Passed 13 of 23 test cases with the skill, and 8 of 23 without it.
and 8 more in the full report
7 fixed6 passed either way8 still failing2 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.
Standardize the evaluation scores from an ICLR submission: Overall Rating: 6 out of 10, Confidence: 3, Soundness: 3, Presentation: 3, Contribution: 3. Extract the overall rating as 'overall_score: 6'.
| Checked | Without skill | With skill |
|---|---|---|
| The score block uses the key name 'rating' for the overall score. | Missed | Passed |
The instructions your model reads when the skill loads.
Apply the shared template first:
skills/stage1/template/SKILL.mdThen apply only the ICLR-specific overrides below.
Extract exactly these five keys (numbers only):
rating <- ICLR ratingconfidence <- ICLR confidencesoundness <- ICLR soundnesspresentation <- ICLR presentationcontribution <- ICLR contributionsummary <- summarystrength <- strengthweaknessquestion# Stage1 ICLR Breakdown## Scores must contain exactly the five keys above.If reviewer text mixes free-form paragraphs and bullets, keep template splitting rules unchanged and split only by independent concerns.
test cases passed, vs 8 / 23 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.