Content
81%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 highly actionable, well-sequenced workflow skill with genuine validation feedback loops and a clean one-level reference structure. Its main weakness is token efficiency: duplicated 'Step 0' sections, a confirmation guardrail repeated four-plus times, and oversized inline JSON templates that inflate the body.
Suggestions
Merge the two 'Step 0' sections (Load Config and Load Context) into a single context-loading step and state the confirm-criteria/max-iterations/budget guardrail once instead of repeating it four-plus times across Step 2.
Move the full run.json / current.json JSON templates and the history.jsonl example into a reference file (e.g. references/STATE-SCHEMA.md), keeping only the field invariants inline.
Fix or remove the references to 'docs/loop.md' and 'subagents/claude/agents/loop-orchestrator.md', which do not exist in the skill bundle — either ship them or drop the claim that the stop-condition list is repeated verbatim in three synced places.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense operational policy rather than padded explanation, but it is noticeably repetitive: two distinct 'Step 0' sections (Load Config and Load Context), the 'always explicitly confirm criteria/max iterations/budget' guardrail stated at least four times across Step 2, and full 40-line run.json JSON templates inlined where a schema reference would do. This sits between 'mostly efficient' (4) and 'several padded sections' (2) — the duplication is real but consists of skill-specific rules, not explanations of concepts Claude already knows. | 3 / 5 |
Actionability | Guidance is fully executable: exact JSON templates for current.json and run.json with concrete field values, a mkdir command, the exact history.jsonl event-name list with an example line, a complete command-mode parser, a stop-reason-to-status mapping table, and copy-paste-ready CLI examples covering the common cases. | 5 / 5 |
Workflow Clarity | The iteration workflow is clearly sequenced (Steps 0-9, six phases with parallelism and a documented sequential fallback) with explicit validation (EVALUATE scoring against thresholds), feedback loops for error recovery (retry each failed phase once, rebuild corrupted run.json from history.jsonl), a precedence-ordered stop-condition contract, and user confirmation gating the destructive 'clean' operation. | 5 / 5 |
Progressive Disclosure | Six real, one-level-deep reference files (ACTIVE-TIME-BUDGET, CRITERIA-TEMPLATES, PHASE-CONTRACTS, RULE-SCHEMA, TERMINAL-REPORT, CONTEXT-MANAGEMENT) are clearly signaled from the body with purpose statements. Not 5 because the body still runs ~500 lines with large inline JSON that could be split out, and it references 'docs/loop.md' and 'subagents/claude/agents/loop-orchestrator.md' which do not exist in the skill bundle; not 3 because references are well-signaled and appropriately split, not buried. | 4 / 5 |
Total | 17 / 20 Passed |