Content
92%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 high-quality operating contract: dense, actionable, and well-structured with one-level-deep references and explicit validation feedback loops for destructive and batch operations. The only slack is a somewhat long tool-surface enumeration that slightly undercuts its own 'capabilities, not enumeration' framing.
Suggestions
Trim the 'Tool surface' enumeration to capability groupings with a few representative tools each, leaning on tools/list as the source of truth as the section itself advises.
Consider folding the account-baseline JSON schema into a reference file to keep the main body as an operating overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it never explains what Google Ads, ROAS, or QS are — but the 'Tool surface' section is a long enumerative list of tool names that could be trimmed slightly given the stated principle that tools/list is the source of truth. | 4 / 5 |
Actionability | Names exact tools, GAQL patterns, and reference files per scenario, and gives concrete conditional handoffs ('CTR persistently below benchmark across 2+ ad groups → /google-ads-copy'), so the guidance is fully executable. | 5 / 5 |
Workflow Clarity | The 8-step 'Recurring optimization posture' is clearly sequenced with explicit validation checkpoints — 'Execute only through the safe executor pattern' with mandatory approval and live read-back, plus intervention memory for 3/7/14-day reviews — providing feedback loops for risky writes. | 5 / 5 |
Progressive Disclosure | SKILL.md is an overview with a well-signaled, one-level-deep reference table mapping each 'question on the table' to a real file in references/ (all 14 referenced files verified present), with content appropriately split out of the main body. | 5 / 5 |
Total | 19 / 20 Passed |