Content
67%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 well-structured, actionable guide with a sound workflow and verification steps; its main weaknesses are redundancy between the Safety and What-NOT-to-Do sections and a duplicate Step 3 heading that slightly muddies the sequence.
Suggestions
Collapse the "What NOT to Do" section into "Safety: Protect the Baseline" (or a short checklist) to remove the duplicated guidance.
Fix the duplicate "Step 3" heading by relabeling the alternative path (e.g. "Step 3b: Create from Scratch").
Add one full example MCP tool call showing the complete field set, so the executable guidance is copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and assumes Claude's knowledge of models/configs, but the "What NOT to Do" section substantially duplicates "Safety: Protect the Baseline" and "Core Principles", and the duplicated "Step 3" numbering adds avoidable noise. | 3 / 5 |
Actionability | Concrete, executable guidance is provided: named MCP tools, required fields (sourceVariationKey, key, name), the modelConfigKey `{Provider}.{model-id}` format, and example identifiers like gpt4o-mini-cost-test; only a full sample tool call is missing. | 4 / 5 |
Workflow Clarity | A clear Step 1–4 sequence with an explicit Verify checkpoint and a "verify via get-ai-config" fallback is present; the duplicate Step 3 numbering and absence of an error-retry feedback loop are minor gaps, and operations are additive (baseline protected) so the destructive cap does not apply. | 4 / 5 |
Progressive Disclosure | A single well-organized SKILL.md with clearly labeled sections and one external docs link, no nested references; at ~104 lines and without bundle files it is well-structured but not a clean 5 since some tool/field reference material could be split out. | 4 / 5 |
Total | 15 / 20 Passed |