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, actionable skill body with a clear worked example, anti-patterns table, and a single appropriately-linked reference. The main gaps are undefined helper functions in the example code and the verification feedback loop being delegated to the reference rather than inline in the primary workflow.
Suggestions
Inline a validate->fix->retry checkpoint in the 'How to use' flow (e.g. after reading the matrix, spot-check high-priority 'full' rows before filing action items) rather than deferring all verification to the reference.
Replace the undefined helpers (read, extract_acs, read_all) in the Python example with concrete implementations or standard-library calls so the script is copy-paste runnable.
Trim the Overview's restatement of the description's niche and shorten the worked-example coverage matrix to the rows needed to illustrate full/partial/none, removing redundant framing.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and avoids explaining basic concepts, but the Overview re-states the description's niche and the full worked-example coverage matrix is fairly long; both could be trimmed, so it sits at 'efficient with minor over-explanation' rather than the lean level above. | 4 / 5 |
Actionability | It provides concrete, mostly-executable guidance - a real Python script, config YAML, and a full output example - but relies on undefined helpers (read, extract_acs, read_all) and hardcodes openai/gpt-4, leaving minor gaps that keep it just below fully copy-paste-ready. | 4 / 5 |
Workflow Clarity | The five-step 'How to use' sequence is clear and includes a verification step, but the validate->fix->retry feedback loop for this batch operation lives in the reference file rather than as an explicit inline checkpoint, keeping it below the explicit-validation-loops level. | 4 / 5 |
Progressive Disclosure | The body keeps the core mapping logic inline and offloads scheduling/verification detail to a single, clearly signaled, one-level-deep reference (continuous-coverage-and-verification.md) that is linked both in the workflow and the References section, matching the well-signaled one-level-deep anchor. | 5 / 5 |
Total | 17 / 20 Passed |