Content
85%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 well-structured, highly actionable skill body with a clear multi-step workflow, explicit validation gates, and clean progressive disclosure into two real reference files. The main weakness is repetition of the routing/sibling-skill disambiguation across several sections, which inflates token cost.
Suggestions
Consolidate the routing disambiguation ('what's applied' / 'change native' → apply-native-policy-to-instance) into a single section; it is currently restated in When-to-Use, Pick-the-path-first, Best Practices, and Troubleshooting.
Similarly, the 'one apply call for Universal / don't loop native apply' guidance appears in both the Workflow rules and Best Practices — keep it in one place and cross-reference to save tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational and assumes Claude's domain knowledge, but the routing disambiguation ('what's applied' / 'change native' → apply-native-policy-to-instance) is restated across When-to-Use, Pick-the-path-first, Best Practices, and Troubleshooting, so it is mostly efficient but could be tightened by consolidating that guidance. | 3 / 5 |
Actionability | Gives exact tool names and parameters (find_assets with query/asset_type/user_query/include_applied_policies/policy_name_filter/max_results; apply_universal_policy with policy_name/instance_ids/configuration) plus concrete status branching, providing fully executable orchestration guidance appropriate to an instruction-only MCP skill. | 5 / 5 |
Workflow Clarity | Steps 1–4 are clearly sequenced with explicit [GATE] checkpoints, a poll-until-COMPLETED/FAILED feedback loop, an unknown-coverage re-check rule, and an assetCap fan-out — the validation and feedback loops this batch operation requires are all present. | 5 / 5 |
Progressive Disclosure | SKILL.md is a clear overview pointing to two real one-level-deep reference files (payloads.md, presentation-format.md), signaled in a dedicated Reference files section and inline at the exact points they are needed, with the bulk detail appropriately split out. | 5 / 5 |
Total | 18 / 20 Passed |