Content
47%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body demonstrates a well-sequenced, validated adjustment workflow but is far too verbose and ships as a monolithic code dump rather than an overview pointing to reference files. The code is also not self-contained, leaning on undefined helper classes and MCP tools.
Suggestions
Shrink SKILL.md to a concise overview and move the full QuorumManager/strategy implementations into reference files under scripts/ or references/, linking to them one level deep.
Either provide the undefined helper classes and MCP tool bindings or explicitly mark the snippets as illustrative scaffolding so the code's executability is clear.
Cut explanatory comments and concept restatements (e.g. Byzantine fault-tolerance rationale) that Claude can already derive, keeping only quorum-specific decision logic.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is an ~830-line dump of JavaScript implementation detail (full classes, scoring formulas, MCP calls) that restates distributed-systems logic Claude already knows, far exceeding a reasonable token budget. | 1 / 3 |
Actionability | The code is syntactically concrete, but it depends on undefined classes (NetworkAnalyzer, PartitionPredictor, etc.) and MCP tools (swarm_status, neural_patterns), so it is not executable or copy-paste ready as written. | 2 / 3 |
Workflow Clarity | adjustQuorum lays out a clear validate -> plan -> execute -> verify -> record sequence with explicit validation calls and a rollback feedback loop on failure, matching the anchored example for clear sequencing with checkpoints. | 3 / 3 |
Progressive Disclosure | Section headers exist (Core Responsibilities, Technical Implementation, MCP Integration), but ~700 lines of strategy code that belongs in separate reference files are inlined in SKILL.md with no file-level navigation. | 2 / 3 |
Total | 8 / 12 Passed |