Content
73%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 strong, highly operational body: sequenced steps with real validation checkpoints, concrete commands and thresholds, and a verified one-level reference file. The main costs are token efficiency — the scope guard and sibling-routing are each repeated about three times — and partial duplication between the inline instructions and the hygiene checklist reference.
Suggestions
State the scope guard once (the bolded intro sentence) and cut the repeated paragraph after Instructions plus the duplicate routing in Next Best Skill; the boundary is already enforced in the description and skill contract.
Move the cohort bands and numeric thresholds out of Instructions step 2–3 into references/hygiene-checklist.md and point to it once, keeping only the step logic inline.
Make the ledger example concrete with a filled JSON payload and one complete example command per source so the measurement loop is copy-paste ready.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense and never explains concepts Claude already knows, but the same scope-guard message is repeated three times — the bolded 'Scope guard' sentence in the intro, the full 'Scope guard' paragraph after the Instructions, and the same routing again in 'Next Best Skill' — and the deliverability-qa/consent-registry/email-quality-auditor routing is restated in Data Sources, Instructions step 1, and Reference Materials. That is genuine tightening room, matching 'mostly efficient but could be tightened' rather than the minor-trim bar of a 4. | 3 / 5 |
Actionability | Concrete, mostly copy-paste-ready guidance throughout: executable commands ('python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/resend.py" contacts --limit 100', 'ledger.py diff <list> --source hygiene'), exact cohort bands (≤30d / 31–90d / 91–180d / 181–365d / >365d), a hard threshold ('spam-complaint red line < 0.1%'), and profile weights. It falls short of fully-executable because the ledger example uses ellipsis placeholders ('--data '{"hard_bounce_pct": ..., "complaint_pct": ...}'') and the connector scripts live outside this bundle, unverifiable from here. | 4 / 5 |
Workflow Clarity | Seven numbered, clearly sequenced steps each carry explicit validation checkpoints: mark the trend NEEDS_INPUT when no baseline exists and 'never invent a delta', label every cohort Measured/Estimated, bind leakage findings to named snapshot and send-receipt refs, require deltas 'with numbers, not bounces look worse', and the Termination section adds stop conditions (NEEDS_INPUT trend or leakage → stop and hand to the auditor rather than chaining). This is the full checkpoint-plus-feedback shape of the 5 anchor, not merely 'most checkpoints present'. | 5 / 5 |
Progressive Disclosure | The one in-bundle reference (references/hygiene-checklist.md) exists, is substantive, and is clearly signaled with a description of what it provides; navigation is one level deep. It is not a 5 because the body inlines the cohort bands, threshold tables, and profile weights that hygiene-checklist.md already carries in fuller form (duplicated detail rather than a clean split), and the Reference Materials and Next Best Skill sections overlap while pointing at many sibling paths outside the bundle. | 4 / 5 |
Total | 16 / 20 Passed |