reforms-gradinglisted

Tactic: Grade an ML/CS paper's reproducibility configuration reporting as complete, partial, or none after checking that clinical appraisal tools do not apply. Use when the question is whether the work can be rerun.
yogsoth-ai/paper-reading · ★ 1 · AI & Automation · score 78

Install: claude install-skill yogsoth-ai/paper-reading

# REFORMS Grading ## Orchestration Pattern 1. Fetch the paper; stop on `not_found`. 2. Run `study-design-tool-gate` and write its verdict to `01-study-design-tool-gate.json`. 3. If it selects a clinical/review instrument, stop and name that tool. If it selects `engineering-config-grading` or returns `not_applicable`, proceed. 4. Run `engineering-config-grading`, using that tool name when the gate returned `not_applicable`, and write `02-engineering-config-grading.json`. Record `proposal_sop: true`. Each justification must state what complete reporting would look like before grading the paper. Report the gate verdict, complete/partial/none counts, every `none` item, the unverified-proposal caveat, and both paths.