Content
92%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable skill body with a complete sequenced workflow, explicit validation checkpoints via the release gate and per-step scripts, and clean one-level-deep progressive disclosure. Conciseness is strong but not maximal given the domain's enumerative detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, task-oriented, and free of padding that explains concepts Claude already knows; minor stretches (e.g., the enumerated source-ledger and research-contract fields) could be tightened, so it sits above the midpoint but not fully lean. | 4 / 5 |
Actionability | Copy-paste-ready CLI invocations appear at every workflow step (e.g., 'python3 scripts/validate_evidence_ledger.py data/source_ledger.csv'), plus explicit sizing and SAM/SOM formulas — fully executable guidance covering the common cases. | 5 / 5 |
Workflow Clarity | A clearly sequenced 10-step workflow is closed by an explicit 'Release gate' validation checklist, with per-step validation scripts (validate_evidence_ledger, audit_claim_citations, check_unit_consistency) providing the validate-fix-retry feedback loop. | 5 / 5 |
Progressive Disclosure | The body is an overview that signals one-level-deep references inline and indexes them in a 'Bundled resources' section; every referenced path under references/, assets/, and scripts/ was verified to exist, and content is appropriately split across files. | 5 / 5 |
Total | 19 / 20 Passed |