Content
70%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 excels at workflow sequencing and actionability — the eval/iterate loop is concrete, well-checkpointed, and adaptable across environments (Claude Code, Claude.ai, Cowork). Its weaknesses are token efficiency (chatty asides and triple-stated core loop) and bundle integrity: several referenced files (agents/*.md, eval-viewer/generate_review.py) don't exist, and the body is at the edge of its own length guideline.
Suggestions
Trim conversational asides ('Cool? Cool.', the non-coder-user anecdote, 'billions a year in economic value') and consolidate the core loop, which is currently stated three times (intro, closing summary, Cowork reiteration), into one authoritative statement plus one cross-reference.
Fix the dead references: either ship agents/grader.md, agents/comparator.md, agents/analyzer.md, and eval-viewer/generate_review.py in the bundle, or rewrite those steps to be self-contained — as written, the grading and viewer commands fail with file-not-found.
Move the Description Optimization section (trigger eval generation, review flow, run_loop details) into a references/ file with a short pointer from the main body, bringing SKILL.md comfortably under the 500-line guidance it itself prescribes.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly dense, useful operational detail, but includes unnecessary padding: conversational asides ('Cool? Cool.', the plumber/grandparent anecdote, 'we are trying to create billions a year in economic value here!') and the core loop being repeated three times (intro, closing 'Repeating one more time' summary, and the Cowork all-caps reiteration). This fits 'mostly efficient but includes some unnecessary explanation' rather than the noticeably padded anchor 2. | 3 / 5 |
Actionability | Guidance is highly concrete — full command lines ('python -m scripts.aggregate_benchmark', 'python -m scripts.run_loop' with flags, the nohup viewer launch), JSON templates, subagent prompt templates, and exact directory layouts. However, commands reference '<skill-creator-path>/eval-viewer/generate_review.py' and 'agents/grader.md' which are not present in the bundle, so those steps would fail as written — a minor gap that keeps it below fully executable anchor 5. | 4 / 5 |
Workflow Clarity | Multi-step processes are clearly sequenced with explicit validation checkpoints and feedback loops: the 5-step eval sequence ('don't stop partway through'), grade → aggregate → analyst pass → viewer → user feedback, timing capture per notification, explicit termination criteria, and the numbered iteration loop with recovery guidance. This matches the anchor for clear sequence with explicit validation and error-recovery loops. | 5 / 5 |
Progressive Disclosure | References are clearly signaled with when-to-read guidance ('See `references/schemas.md` for the full schema', the Reference files section), and references/schemas.md and assets/eval_review.html do exist. But agents/grader.md, agents/comparator.md, agents/analyzer.md, and eval-viewer/generate_review.py are referenced yet absent from the bundle (dead pointers), and the ~479-line body sits at its own 500-line cap with the Description Optimization workflow being a clear candidate for a reference file. Some structure, but organization gaps and broken references hold it below anchor 4. | 3 / 5 |
Total | 15 / 20 Passed |