Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-architected router: clear one-level-deep progressive disclosure, highly actionable file/agent routing, and an explicit decision tree with edge-case handling. The only real weakness is redundancy between the Quick Reference table, the graphviz tree, and the numbered list, which inflates the token budget.
Suggestions
Collapse the redundant routing representations: keep either the graphviz Decision Tree or the numbered list, not both, since the Quick Reference table already maps symptoms to files.
Trim the Example Invocations section or fold a few representative cases into the Quick Reference, as the table plus decision tree already cover the same routing.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and actionable rather than explanatory, but the same routing information appears three times — the Quick Reference table, the graphviz Decision Tree, and the numbered list (steps 1–16) — so it could be tightened by collapsing the redundant decision-tree representations. | 2 / 3 |
Actionability | Routing guidance is concrete and specific: exact file paths ("skills/app-intents-ref.md"), agent names ("iap-auditor"), and precise conditional directives ("stay here" vs "also invoke axiom-data"), which is copy-paste-ready actionable guidance for an instruction-only router. | 3 / 3 |
Workflow Clarity | The Decision Tree provides a clear, well-sequenced decision process with explicit branch conditions, augmented by Cross-Domain Routing and Conflict Resolution for edge cases; no validation checkpoints are needed for non-destructive routing. | 3 / 3 |
Progressive Disclosure | SKILL.md is a pure overview pointing to well-signaled, one-level-deep references via the Quick Reference table and decision tree, with detail appropriately deferred to the referenced skills/*.md files and easy navigation. | 3 / 3 |
Total | 11 / 12 Passed |