Content
71%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.
This is a strong, well-structured overview skill: progressive disclosure is exemplary with real, organized reference files and explicit plane-segregation guidance, and the reconciliation workflow is concrete with canonical tokens and a failure checkpoint. The main weakness is conciseness -- several sections over-explain process and normative-strength meta-rules that could live in references.
Suggestions
Move the lengthy 'Normative strength and documented rationale' worked examples and step-by-step tests into a dedicated reference file, keeping only the severity-tag table and the one-line two-step test summary in SKILL.md.
Tighten the 'Design Principles' and 'Maintenance & Upstream Alignment' sections to bullet essentials; the expert-persona and upstream-precedence prose restates what the 'Authoritative External Sources' list already conveys.
Convert the reconciliation flow into a numbered step list ending with the explicit 'if any surface is unfetchable, follow the failure path' validation checkpoint so the sequence and gate are visually unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is well-organized but runs long; sections like 'Normative strength and documented rationale' with worked examples, the enumerated 'Design Principles', and the maintenance prose restate meta-concepts about guideline strength and process that a competent reviewer largely already knows, and could be trimmed or pushed to a reference. | 3 / 5 |
Actionability | It provides concrete, actionable artifacts -- canonical reconciliation tokens (SKIP-COVERED, REPLY-LINE-SHIFT, etc.), a precedence-ordered source list with URLs, a severity mapping table, and exact file references -- though the bulk of executable rule content lives in the reference files rather than inline. | 4 / 5 |
Workflow Clarity | The ARM cross-session reconciliation section lays out a clear ordered process (inventory -> match by semantic identity -> choose canonical token -> handle incomplete fetch by following failure path) with an explicit error-recovery checkpoint for unfetchable surfaces; minor gaps are that the validation gate is described narratively rather than as a step list. | 4 / 5 |
Progressive Disclosure | Structure is exemplary: the SKILL.md is an overview that groups 29 reference files into Cross-cutting / ARM / Data-plane tables with one-level-deep links, all of which resolve to real files, and includes explicit 'do not load the other plane' navigation guidance plus an anti-inheritance callout. | 5 / 5 |
Total | 16 / 20 Passed |