Content
62%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is richly actionable and clearly sequenced with validation checkpoints, but it is over its own line budget with redundant conversational prose, and several load-bearing references (eval-viewer/generate_review.py and the agents/*.md files) point at files absent from the bundle, which weakens both actionability and navigation.
Suggestions
Resolve the broken script reference: either ship eval-viewer/generate_review.py or rewrite the ~5 call sites to use the existing scripts/generate_report.py so the central review step is runnable as written.
Add the referenced agents/ directory (grader.md, comparator.md, analyzer.md) or move that guidance into references/ and update the pointers, so navigation targets actually exist.
Trim the body under 500 lines by removing the verbatim repeat of the core loop at the bottom and the conversational asides, and by moving the kernel.py plugin guidance and the per-environment (claude.ai / Cowork) sections into reference files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body runs ~613 lines, exceeding its own stated '<500 lines ideal', and carries conversational filler and repetition — the core loop is stated at the top and repeated verbatim at the bottom ('Repeating one more time the core loop here for emphasis'), plus asides like 'This goes without saying, but...' and 'Please add steps to your TodoList'. It is not level 3 because of this padding and redundancy; it is not level 1 because the content is domain-specific actionable guidance rather than explanation of concepts Claude already knows. | 2 / 3 |
Actionability | Most guidance is concrete and executable (host.skills.* API calls, `python -m scripts.aggregate_benchmark`, `python -m scripts.run_loop`, JSON templates), but the load-bearing review step repeatedly invokes `eval-viewer/generate_review.py` which is not present in the bundle (only scripts/generate_report.py exists), and it references agents/grader.md, agents/comparator.md, agents/analyzer.md which also do not exist. It is not level 3 because a central, repeated command cannot be run as written and key subagent instructions point at missing files; it is not level 1 because the majority of instructions are copy-paste ready. | 2 / 3 |
Workflow Clarity | Multi-step processes are explicitly sequenced with validation checkpoints — the eval run is broken into Step 1 (spawn with-skill and baseline in the same turn) through Step 5 (read feedback), with a grade → aggregate → analyst validation pass and an explicit iteration loop with feedback-driven retry. It is not level 2 because validation steps and feedback loops are present and explicit, not merely implied. | 3 / 3 |
Progressive Disclosure | Structure exists with signaled pointers to real files (references/schemas.md and assets/eval_review.html and scripts/* all exist), but the body exceeds 500 lines with content that could be split out (kernel.py plugin guidance, the claude.ai and Cowork sections, description optimization), and it references non-existent paths (eval-viewer/generate_review.py and the agents/*.md files). It is not level 3 because of the over-length inline content and broken references; it is not level 1 because references are clearly signaled and mostly one level deep. | 2 / 3 |
Total | 9 / 12 Passed |