Content
86%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-engineered orchestration body: exact commands, explicit routing tables, a prescribed output contract, and clean progressive disclosure into real reference files. The main improvable spots are the duplicated haiku cost note and the absence of error-recovery guidance for helper or scope-parse failures.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient, operational, and assumes Claude's competence (no concept explanations), but the '/model haiku' cost advice is repeated nearly verbatim in both the intro and 'Why this is a separate skill', and that rationale section is mildly discretionary. Efficient with minor trims available — the 4 anchor. | 4 / 5 |
Actionability | Fully executable guidance: the exact helper command 'python3 scripts/audit-extract.py $ARGUMENTS[1] --mode $ARGUMENTS[0]', exact output-path templates (audit_<id8>_<ts>_<mode>.json/.md), verbatim usage text to print, and exact status lines. Copy-paste ready with specific handling for the common cases. | 5 / 5 |
Workflow Clarity | A clearly sequenced 5-step workflow with an explicit input-validation checkpoint (missing/invalid path → print usage and stop), dispatch and scope-routing tables, and a prescribed write order. It falls short of 5 because there is no error-recovery path for helper failure or an unexpected digest.scope value; it is above 3 because checkpoints are explicit, and the read-only analysis does not trigger the destructive/batch cap. | 4 / 5 |
Progressive Disclosure | A clear overview that routes to one-level-deep references: all five referenced files exist in references/, two routing tables (argument dispatch and scope×mode) plus an annotated per-scope reference listing make navigation unambiguous, with detail correctly split out of SKILL.md. | 5 / 5 |
Total | 18 / 20 Passed |