Content
62%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 clarity and actionable detail — concrete commands, JSON schemas, checkpointed steps, and environment-specific adaptations — but is undermined by chatty padding that inflates token cost and by broken references to `agents/*.md` and `eval-viewer/generate_review.py` that don't exist in the bundled files. Trimming the conversational asides and reconciling paths with the actual bundle would lift both weak dimensions.
Suggestions
Cut the conversational padding — "Cool? Cool.", the plumber/grandparent anecdote, the "billions a year in economic value" aside, and the all-caps apology — and state the core loop once instead of three times (intro, iteration-loop section, closing recap).
Reconcile referenced paths with the actual bundle: `agents/grader.md`, `agents/comparator.md`, and `agents/analyzer.md` are missing entirely, and `eval-viewer/generate_review.py` should be `scripts/generate_report.py` (or the files should be added).
Move the Claude.ai- and Cowork-specific adaptation sections into a short reference file linked from a one-line pointer, reducing the main body's length while keeping the environment guidance available on demand.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Several padded sections: "Cool? Cool.", the plumber/grandparent anecdote about who uses terminals, "we are trying to create billions a year in economic value here!", "Sorry in advance but I'm gonna go all caps here", and the core loop restated three times (intro bullets, iteration-loop section, and the closing recap). This is noticeably verbose with multiple unnecessary sections, though it avoids explaining concepts Claude already knows, so it does not reach the 'severely verbose' bottom anchor. | 2 / 5 |
Actionability | Guidance is mostly executable: copy-paste-ready subagent prompt templates, exact JSON formats (eval_metadata.json, timing.json, feedback.json), and concrete bash commands (`python -m scripts.aggregate_benchmark`, the nohup viewer invocation, `python -m scripts.run_loop`). It falls short of fully executable because key referenced paths dangle: `agents/grader.md`, `agents/analyzer.md`, `agents/comparator.md`, and `eval-viewer/generate_review.py` are invoked but not present in the bundle (the viewer script actually lives at `scripts/generate_report.py`). | 4 / 5 |
Workflow Clarity | The multi-step process is clearly sequenced with explicit validation checkpoints: numbered Steps 1-5 for run/assertion/timing/grading/feedback, grading against assertions, benchmark aggregation, an analyst pass, a user-review gate, and explicit stop conditions ("user says they are happy / feedback is all empty / not making meaningful progress"). Batch operations do have validation, so no cap applies; error recovery via feedback loops is present throughout. | 5 / 5 |
Progressive Disclosure | References are clearly signaled and there is a dedicated Reference-files section, and `references/schemas.md`, `assets/eval_review.html`, and the `scripts/` modules all resolve. However, scored against the actual bundle, four referenced paths (the `agents/` directory and `eval-viewer/generate_review.py`) do not exist, breaking navigation for the central grading and viewer steps — more than the 'minor organization gaps' of a 4. | 3 / 5 |
Total | 14 / 20 Passed |