Content
77%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 document with copy-paste commands, JSON templates, explicit checkpoints, and clear iteration/termination criteria. Its weaknesses are a chatty, over-length body (609 lines vs its own 500-line guidance) and dangling bundle references — the agents/ files and eval-viewer script it repeatedly points to do not exist in the skill directory.
Suggestions
Add the missing agents/grader.md, agents/comparator.md, and agents/analyzer.md files (or remove the pointers) — three of the five bundled resources the body directs the model to read do not exist in the skill directory.
Fix the eval-viewer path: the body repeatedly invokes eval-viewer/generate_review.py, but no eval-viewer directory exists; either add it or point to the actual scripts/generate_report.py.
Trim the conversational filler ("Cool? Cool.", the plumbers anecdote, the repeated core-loop summary at the end, the all-caps Cowork aside) to bring the body under the 500-line guidance the skill itself sets.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The bulk is dense, substantive instruction, but the 609-line body exceeds the skill's own '<500 lines ideal' guidance and is interleaved with padded asides: "Cool? Cool.", the plumbers/grandparents anecdote, "Good luck!", "we are trying to create billions a year in economic value here!", an all-caps Cowork rant, and a full closing section that repeats the core loop already stated at the top. This lands on the score-3 anchor (mostly efficient but could be tightened) rather than 2, since the padding is stylistic overlay rather than explanation of concepts Claude doesn't know. | 3 / 5 |
Actionability | Guidance is copy-paste ready throughout: exact commands ("npx skills find '<keywords>'", the sparse-checkout clone block, "python -m scripts.aggregate_benchmark <workspace>/iteration-N --skill-name <name>", "nohup python <skill-creator-path>/eval-viewer/generate_review.py ..."), complete JSON templates for evals.json/eval_metadata.json/timing.json/feedback.json, and a ready-to-use subagent prompt template. Score 5 rather than 4 because the specific examples cover the common cases with placeholders that are clearly meant to be filled per-run. | 5 / 5 |
Workflow Clarity | The multi-step process is clearly sequenced (intent capture → interview → reference discovery → write → test → grade/aggregate/analyze → review → improve → package) with numbered steps in the eval section, explicit checkpoints ("Save this data immediately... This is the only opportunity to capture this data", snapshot-before-editing for baselines, kill the viewer when done), and explicit termination criteria ("The user says they're happy / feedback is all empty / not making meaningful progress"). This matches the score-5 anchor's feedback loops and error-recovery guidance. | 5 / 5 |
Progressive Disclosure | References are clearly signaled with 'when to read' guidance and `references/schemas.md`, `assets/eval_review.html`, and the `scripts/` files all exist in the bundle. However, four referenced paths are dangling: `agents/grader.md`, `agents/comparator.md`, and `agents/analyzer.md` (no agents/ directory exists) and `eval-viewer/generate_review.py` (no eval-viewer directory; scripts/generate_report.py exists instead) — and the grader/analyzer files are invoked from core workflow steps. That is a material navigation failure beyond the score-4 anchor's 'minor organization gaps', while the overall structure is far better than the score-3 anchor's typical inlining, so 3 is the best fit. | 3 / 5 |
Total | 16 / 20 Passed |