Content
90%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.
An exemplary operational skill body: token-efficient, densely actionable with exact field names, thresholds, enums, and a copy-paste output template, and a clearly phased workflow with explicit completeness rules. The only weaknesses are a missing fix-and-retry loop for narrative validation and two under-signaled bundle references.
Suggestions
Add an explicit error-recovery step to Phase 6: if Validate-PerformanceReport.ps1 rejects the narrative, name which fields to revise and re-submit rather than leaving the fix loop implicit.
Signal `references/platform-scenarios.json` by path where Phase 4 cites 'the catalog', and mention `references/benchmark-families.json` where sampled families are classified, so all reference files are discoverable from SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and telegraphic throughout: no concept explanations, no filler, and it assumes Claude's competence (uses "ABBA", "library-TFM", "captured closures, boxing" without glossing them). Every sentence carries an operational constraint or decision rule — e.g., "Timing flags require non-overlapping run-level ranges and at least a 15% median delta" — so every token earns its place. | 5 / 5 |
Actionability | Fully executable instruction-only guidance: an exact evidence file table for Phase 0, concrete field paths (`.suites[]`, `.sampledProductFiles[]`, `.coverage`), precise thresholds (non-overlapping byte gap, 15% median delta), closed enums (`none`/`warning`/`error`, `accidental`/`deliberate`/`unknown`), named validating scripts, and a copy-paste-ready JSON output template with all required fields. Specific guidance covers the common cases completely. | 5 / 5 |
Workflow Clarity | Phases 0–6 are clearly sequenced with per-phase inputs and outputs, and completeness checkpoints are explicit ("Missing evidence, failed execution, or mismatched identities mean incomplete, never clean") plus a named external validator ("Validate-PerformanceReport.ps1 checks them independently"). Falls short of 5 because there is no fix-and-revalidate feedback loop for the skill's own output — nothing instructs what to do if the narrative fails validation. | 4 / 5 |
Progressive Disclosure | Good structure: well-headed phases, a one-level-deep explicit reference ("Read `references/recommendation-policy.json` from the trusted skill directory"), and data appropriately split into the three real reference JSON files and six scripts. Minor gaps keep it below 5: Phase 4 refers to "the platform scenario catalog" without its path (`references/platform-scenarios.json`), and `references/benchmark-families.json` is never mentioned in the body. | 4 / 5 |
Total | 18 / 20 Passed |