Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured reference skill body: lean and dense, highly actionable with concrete tool calls and role names, a sequenced workflow with validation checkpoints, and an exemplary one-level-deep reference index. It avoids concept re-explanation and splits detail across real bundle files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes MPS competence — no padded explanations of what MPS or menus are — with every directive and index entry earning its place; it respects the token budget. | 3 / 3 |
Actionability | Provides concrete, executable guidance: specific MCP tool calls (`mps_mcp_insert_root_node_from_json`, `mps_mcp_check_root_node_problems`), exact role names (`conceptDeclaration`, `applicableConcept`, `sections`), naming conventions, and smodel idioms rather than abstract direction. | 3 / 3 |
Workflow Clarity | The nine-step Common-Path Workflow is clearly sequenced with explicit validation/rebuild checkpoints (steps 6–7: rebuild language, `mps_mcp_check_root_node_problems` on every touched root) and a diagnose step, giving a feedback loop for error recovery. | 3 / 3 |
Progressive Disclosure | The body acts as a concise overview/index pointing to 15 real, one-level-deep reference files (all verified present under references/), each entry clearly signaled with an 'Open X when...' trigger, with detail appropriately split out rather than inlined. | 3 / 3 |
Total | 12 / 12 Passed |