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.
The body delivers excellent actionability and workflow clarity — executable prompts, commands, config snippets, validation gates, and failure fallbacks — and uses its bundle files correctly with one-level-deep, well-signaled references. Its main weakness is token efficiency: at ~480 lines it duplicates rationale across sections and inlines template material that belongs in the existing reference files, which also keeps progressive disclosure at 'good' rather than 'clear overview'.
Suggestions
Deduplicate repeated rationale: 'catches what a single reviewer normalises' (intro vs Mindset) and 'model diversity is the main lever for catching different blind spots' (two anti-patterns) each appear twice — state each once and cross-reference.
Move the three inline Step 3 sample report blocks (Body Structure, Implementation Architecture) into references/structural-inference.md, keeping only the field checklist inline, so the body reads as an overview.
Consider moving the three full reviewer JSON prompt payloads to a references/reviewer-prompts.md (or assets/templates) and keeping a one-line summary per reviewer in Step 7, cutting roughly 80 lines from the always-loaded context.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The 480-line body is mostly operational detail Claude does not already know, but it could be tightened: 'Three independent reviewers catch what a single reviewer normalises' appears in both the intro and Mindset, the WHY text 'Model diversity is the main lever for catching different blind spots' is repeated verbatim across two anti-patterns, and Step 3's three inline sample report blocks are template material that duplicates the referenced structural-inference file — matching 'mostly efficient but includes some unnecessary explanation or could be tightened' rather than the minor-trim profile of score 4. | 3 / 5 |
Actionability | Guidance is fully executable: copy-paste-ready JSON prompt payloads for each of the 3 reviewers (with '<PASTE PLAN BRIEF HERE>' insertion points), runnable commands ('validate-context-frontmatter.sh .context/plans/<plan-file>.md', the opencode.json python3 one-liner), a concrete subAgents config snippet, and an error-handling table with specific fallbacks — matching 'fully executable; copy-paste ready... specific examples cover the common cases'; there are no pseudocode or high-level-hint gaps that would justify score 4. | 5 / 5 |
Workflow Clarity | The 11-step workflow is clearly sequenced with explicit validation checkpoints and feedback loops: a 6-item Verification section (schema compliance via scripts/validate-review-report.sh, model attribution, structural validation gating completion, actionability review), 'Re-run if validation fails', re-spawn-then-fall-back reviewer failure handling, and an error-handling table — matching the score-5 anchor; score 4 would require missing checkpoints, which are present. | 5 / 5 |
Progressive Disclosure | Bundle structure is genuinely good and all referenced paths exist (references/model-routing.md, references/structural-inference.md, scripts/validate-*.sh, assets/templates and assets/schemas), each one level deep and well signaled with a References table and inline 'see ... for the full ...' pointers. It falls short of the score-5 'clear overview' anchor because the SKILL.md itself is a 480-line near-monolith: the Step 3 structural report samples, the extended anti-pattern WHY/BAD/GOOD rationale, and the full reviewer prompt payloads are candidates for reference files, leaving the body as a genuine overview — matching 'good structure; most content is appropriately placed; minor organization gaps'. | 4 / 5 |
Total | 17 / 20 Passed |