Content
38%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 body is an 820-line monolith that mixes a small amount of genuine GOAP technique (state/action modeling, A*, dependency graphs) with marketing copy, decorative code that references inconsistent and partly nonexistent MCP tools, and a stray duplicate frontmatter block left in the body. Nothing is split into reference files, and the workflows lack embedded validation checkpoints. Guidance is extensive but not something an agent could execute as written.
Suggestions
Cut the 'Core Capabilities' bullet lists, 'Advanced Features' repeats, and the closing marketing paragraph, and move the tool API reference plus the full class implementations (DynamicPlanner, PlanningLearner, GOAPBehaviorTree, UtilityPlanner) into one-level-deep reference files linked from a short SKILL.md overview.
Make code executable: define or remove the undefined helpers, standardize tool names to exactly those declared in 'Primary Tools', and remove calls to tools that are never declared (validateTemporalAdvantage, memory_usage, neural_train).
Consolidate the five scattered workflow/example sections into one canonical sequenced procedure with explicit validation checkpoints (e.g., verify matrix analysis is well-conditioned before search, verify plan confidence before execution), and delete the stray placeholder frontmatter block from the top of the body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | At ~820 lines the body is heavily padded: the 'Core Capabilities' section is marketing fluff (emoji-headed bullet lists like 'Dynamic Goal Decomposition' and 'Sublinear Optimization'), 'Advanced Features' restates earlier sections, and the closing paragraph is pure puffery ('represents the cutting edge of AI-driven objective achievement'). The code blocks carry some real technique detail, keeping this at anchor 2 ('several unnecessary explanations or padded sections') rather than 1. | 2 / 5 |
Actionability | The many code examples look executable but are not: they call undefined helpers (canTransition, stateKey, heuristic, buildUtilityMatrix, PriorityQueue, recursiveDecompose), use inconsistent tool names (mcp__sublinear-time-solver__solve vs mcp__sublinear_time_solver__solve, mcp__claude_flow__swarm_init vs mcp__flow_nexus__swarm_init), and invoke tools never declared in 'Primary Tools' (validateTemporalAdvantage, memory_usage, neural_train) while listed tools (calculateLightTravel, demonstrateTemporalLead) are never used. This matches anchor 3 ('pseudocode instead of executable code; missing key details'), not 4. | 3 / 5 |
Workflow Clarity | A numbered 'Workflow' section (state modeling → graph construction → PageRank prioritization → temporal planning → A* search) gives a real sequence, and error-handling sections exist (contingency plans, MATRIX_SINGULAR/NO_CONVERGENCE/TIMEOUT recovery), but validation is not embedded as checkpoints in the workflow steps and the operating procedure is scattered across five overlapping section groups ('Workflow', 'Advanced Planning Workflows', 'Multi-Agent Coordination', 'Gaming AI Integration', 'Usage Examples'). Fits anchor 3 ('steps listed but validation gaps; checkpoints missing or implicit'). | 3 / 5 |
Progressive Disclosure | No bundle files exist (no references/, scripts/, or assets/), and the entire ~820 lines — including what is effectively an MCP tool API reference and full class implementations (DynamicPlanner, PlanningLearner, GOAPBehaviorTree, UtilityPlanner) — is inlined in SKILL.md with zero external references. This matches anchor 2 ('content that clearly belongs in separate files is inlined'); the abundant section headers do not make the content progressively disclosed. | 2 / 5 |
Total | 10 / 20 Passed |