Content
88%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.
This is a high-quality, executable auditor skill: gated detectors with concrete grep/Read/fix triples, a phased workflow with explicit validation checkpoints, and disciplined false-positive handling. Minor gains are possible in conciseness and by co-locating reference material rather than pointing to external skill docs.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense but almost entirely domain-specific knowledge Claude would not already know (gated detectors, GRDB version thresholds, 0xDEAD10CC semantics); a few explanatory passages could be trimmed, but it largely assumes competence and avoids generic concept primers, sitting just below the lean anchor. | 4 / 5 |
Actionability | Every detector ships exact grep patterns, Read-based verification steps, and copy-paste-ready fix code (e.g. `execute(literal: "WHERE id = \(id)")`, `try db.notifyChanges(in: <Table>.all())`), covering the common cases concretely. | 5 / 5 |
Workflow Clarity | The audit is a clear five-phase sequence with explicit gating checkpoints, mandatory Read verification before reporting, false-positive and limitation call-outs, and compound-severity feedback logic — exactly the validate-then-report feedback loop the rubric rewards for batch/database operations. | 5 / 5 |
Progressive Disclosure | Content is well organized into phases with one-level-deep references to external `axiom-data` skill docs (e.g. `skills/grdb-performance.md §6`); there are no local bundle files to split into, so the structure is good, though the references point outside this skill's own bundle rather than to co-located reference files. | 4 / 5 |
Total | 18 / 20 Passed |