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.
The content is a well-sequenced, highly actionable interview skill with explicit checkpoints and a validation checklist. Its main weakness is conciseness: the exhaustive Network Mapping table and several heuristics bloat the body and would be better moved to referenced files.
Suggestions
Move the large Network/Tool/Pattern heuristic mapping tables into separate reference files and link to them, keeping only a compact summary in SKILL.md to improve conciseness and progressive disclosure.
Tighten or prune rarely-used network-ecosystem rows (e.g. niche languages) to reduce tokens that do not earn their place for the common case.
Confirm the listed in-repo reference paths (e.g. .github/aw/network.md) actually resolve, or note that they point to an external repo, to avoid dangling references.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient directive prose (phases, mapping tables, templates), but the very large Network Mapping table enumerates dozens of language/package ecosystems that pad the skill without clear payoff, which could be moved to a reference. | 3 / 5 |
Actionability | It provides concrete, executable guidance: exact questions to ask, decision-heuristic mapping tables, a confirmation format, and a copy-paste-ready workflow skeleton template with real field names. | 4 / 5 |
Workflow Clarity | The interview is explicitly sequenced into Phases 1–8 with 'move to next phase only after the current phase is clear', a Confirmation gate, a generation step, and a 15-item Validation Checklist serving as explicit checkpoints/feedback loops. | 5 / 5 |
Progressive Disclosure | Structure is strong with clear sections and a 'References (load only when needed)' block listing one-level-deep in-repo and HTTPS references; however no bundle files exist in ./references, ./scripts, or ./assets, and large mapping tables are inlined rather than split into reference files, leaving minor organization gaps. | 4 / 5 |
Total | 16 / 20 Passed |