Content
81%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 overview with an explicit, checkpointed readback workflow and concrete executable ledger commands. It is held back only by placeholder payload values and external references whose organization cannot be confirmed from the bundle.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence, with domain-specific notes (conversion lag, attribution-window normalization, learning-phase noise) that earn their place; a few dense sections like the Skill Contract could be trimmed, so it is efficient but not maximally lean. | 4 / 5 |
Actionability | Provides concrete executable commands (ledger.py record/diff/trend with full flags, an explicit delegate-to-roi-calculator handoff, and a specific decision rule); the ledger JSON payload is left as '...' placeholders, leaving a minor gap versus fully copy-paste-ready guidance. | 4 / 5 |
Workflow Clarity | An 8-step sequence carries explicit validation checkpoints and stop gates — 'If still in learning phase, stop', normalize before comparing, signal-integrity check → mark Unproven and state the repair before any new readback — with clear feedback loops for a measurement operation. | 5 / 5 |
Progressive Disclosure | The body is an overview that points outward via well-signaled one-level references (measurement-control, measurement-protocol, roas-benchmark, roi-calculator, ledger README, skill-contract), but the referenced files live outside this skill bundle with no local references/ directory, so their depth and organization cannot be verified, holding it under 5. | 4 / 5 |
Total | 17 / 20 Passed |