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Reforms Grading

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 c5662ad 994 B Updated
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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.

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npx skillmds@latest add yogsoth-ai/reforms-grading