Content
78%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, largely actionable agent skill body with strong progressive disclosure and clear sequencing. It is held back from the top band mainly by a verbose Voice section and the absence of executable tool-invocation examples and retry feedback loops.
Suggestions
Trim the Voice section from seven blockquotes to 2-3 representative examples to recover token budget.
Add concrete executable invocations (e.g. `python aeo_audit.py <url>` and `python aeo_optimizer.py --mode balanced`) so the tool references become copy-paste ready.
Remove the hard-coded "Version: 2.7.3" line or relocate it to a labeled deprecated/changelog section to avoid time-sensitive clutter.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean with tight hard-rules and bullets, but the Voice section carries seven long blockquote examples that could be pruned, and the trailing "Version: 2.7.3" is time-sensitive clutter not placed in a deprecated/old-patterns section. | 4 / 5 |
Actionability | Names concrete tools, thresholds (85+ vs 70 default), modes, and ledger actions (add/list/report/export), but never shows an executable invocation (e.g. `python aeo_audit.py <url>`) — a minor gap for an orchestration skill. | 4 / 5 |
Workflow Clarity | Clear intake→audit→optimize→track sequence with gating rules ("Audit before optimize", refuse YMYL below threshold), but lacks explicit validate→fix→retry feedback loops for error recovery. | 4 / 5 |
Progressive Disclosure | Well-organized overview with one-level-deep, clearly signaled references (three reference docs each annotated with source counts) and a Skill Integration section pointing to the underlying skill and Python tools. | 5 / 5 |
Total | 17 / 20 Passed |