Content
39%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill has excellent workflow clarity with a well-defined 4-phase process, convergence loop, and clear escalation path. However, it is severely bloated — much of the content (domain-specific rubrics, cost analysis, metrics, concept explanations) is either generic knowledge Claude already has or belongs in separate reference files. The actionability is moderate since the code is pseudocode rather than executable patterns for actual Claude Code usage.
Suggestions
Cut the content by 50-60%: remove the 'core insight' explanation, cost analysis section, metrics section, and domain-specific rubric extension tables — these are generic knowledge Claude already possesses.
Split into SKILL.md (overview + 4 phases briefly) with references to RUBRIC_TEMPLATES.md, BATCH_PATTERN.md, and FAILURE_MODES.md for detailed content.
Replace pseudocode with actual Claude Code Agent tool invocation syntax showing real tool_use patterns rather than fictional Python functions.
Remove the 'When to Activate' and 'When NOT to use' sections — Claude can infer appropriate contexts from the skill description and architecture.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~300+ lines. It explains concepts Claude already knows (why independent review matters, what anchoring bias is, cost-benefit analysis), includes extensive tables of domain-specific rubric extensions that are generic knowledge, and pads with motivational rationale ('the core insight') that doesn't add actionable value. The cost analysis section and metrics section are largely filler. | 1 / 3 |
Actionability | The skill provides structured pseudocode and prompt templates that are somewhat concrete, but nothing is truly executable — it's all pseudocode with fictional functions (generate(), Agent(), fix_agent.execute(), ship(), escalate_to_human()). The reviewer prompt template is the most actionable element, but the actual implementation for Claude Code subagents is hand-waved ('use the Agent tool to spawn reviewers'). | 2 / 3 |
Workflow Clarity | The multi-step workflow is clearly sequenced across 4 phases with an explicit convergence loop, max iteration cap, escalation path, and the critical invariant that fresh agents must be used each round. The ASCII diagram, verdict gate logic, and fix cycle with explicit termination conditions provide strong workflow clarity with validation checkpoints. | 3 / 3 |
Progressive Disclosure | This is a monolithic wall of text with no references to external files. Domain-specific rubric extensions, batch sampling patterns, failure mode tables, metrics, cost analysis, and integration notes are all inlined when they could be split into separate reference files. The skill would benefit enormously from being an overview that points to detailed materials. | 1 / 3 |
Total | 7 / 12 Passed |