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Break down full ARR (ACL Rolling Review) reviewer responses into structured rebuttal units.
Passed 14 of 22 test cases with the skill, and 10 of 22 without it.
and 2 more in the full report
5 fixed9 passed either way7 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
The ARR review sheet lists 'Overall Assessment: 3 = Marginally clear accept'. Should this score be stored under the key named 'overall_recommendation' or 'assessment'?
| Checked | Without skill | With skill |
|---|---|---|
| Stores the overall evaluation metric under the assessment key. | Missed | Passed |
The instructions your model reads when the skill loads.
Apply the shared template first:
skills/stage1/template/SKILL.mdThen apply only the ARR-specific overrides below.
Extract exactly these five keys (numbers only, decimals allowed):
confidence <- ARR Confidencesoundness <- ARR Soundnessexcitement <- ARR Excitementassessment <- ARR Overall Assessment (number before = sign)reproducibility <- ARR Reproducibility (number before = sign)summary <- Paper Summarystrength <- Summary Of StrengthsSummary Of WeaknessesComments Suggestions And Typos (label as suggestion)# Stage1 ARR Breakdown## Scores must contain exactly the five keys above.2.5, 3.5). Extract only the numeric part before any = or description text.Ethical Concerns, Datasets, Software, Knowledge Of Paper, and certification fields are irrelevant — ignore them.Comments Suggestions And Typos to the suggestion section and split it into atomic issues just as weaknesses are split.test cases passed, vs 10 / 22 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.