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.
The body is a dense, actionable reference: exact commands with flags and exit codes, a symptom→action invocation table, explicit WCAG/writability validation with feedback loops, and a derived-token table. It loses only minor points for the optional forcing-question library and references to bundle files not present in the skill directory.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and token-efficient—dense tables, exit codes, and copy-paste commands with no explain-the-basics filler—but the 'Forcing-question library' with per-question recommended answers and canon citations adds length that could be trimmed. It is above the 'mostly efficient' anchor but not fully 'every token earns its place'. | 4 / 5 |
Actionability | Fully executable guidance: exact invocations like 'python3 markdown-html/skills/design-system/scripts/onboard.py' with --defaults/--set/--scope/--reset flags, a worked-example block, and a validator spot-check command covering the common cases. | 5 / 5 |
Workflow Clarity | Clear sequencing via the 'When to invoke' symptom→action table and worked example, with explicit validation checkpoints ('validate() runs after every change', 'refuses to save (exit code 4)') and error-recovery guidance ('pick a darker primary...or override brand.text directly'). | 5 / 5 |
Progressive Disclosure | Well-organized single-file skill with clear sections and one-level-deep pointers (assets/design_system_schema.json, config_loader.py), but the referenced assets/scripts/ and references/ bundles are not present in the shipped skill directory, so a referenced path is not verifiable; structure is good with a minor gap. | 4 / 5 |
Total | 18 / 20 Passed |