Content
78%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 well-structured, actionable research workflow with clear sequencing, explicit stop-condition checkpoints, and clean progressive disclosure via real reference files. Slight room to tighten repeated stop-rule prose and make metric extraction concrete.
Suggestions
Consolidate the stop-rule mechanics (currently spread across Loop steps 5/11, the Stop section, and the Avoid section) into one place to reduce repetition.
Add a concrete example command for extracting the primary metric from a run.log instead of leaving it as 'a command appropriate for the actual log format'.
Make the error-recovery feedback loop explicit (e.g. 'If the run crashes, inspect the last log lines, fix, and re-launch on the same branch with a follow-up commit') to raise workflow clarity toward 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes Claude's competence (e.g. minimal scaffolding around the bash snippet), but the stop-rule explanation repeats mechanics across several sections and could be tightened. | 4 / 5 |
Actionability | Provides executable commands like `uv run <entrypoint> > "$LOG_DIR/run.log" 2>&1` and a concrete LOG_DIR pattern, but metric extraction is left generic ('a command appropriate for the actual log format'), a minor gap. | 4 / 5 |
Workflow Clarity | Clear numbered sequence with explicit stop-condition re-checks (steps 5 and 11) and status marking; validation is present rather than absent, so the destructive/batch cap at 3 does not apply, though error-recovery feedback loops are only implicit. | 4 / 5 |
Progressive Disclosure | SKILL.md is a concise overview with three clearly-signaled one-level-deep references (git-workflow.md, exploration-ideas.md, experiment-log-template.md), all verified to exist in references/. | 5 / 5 |
Total | 17 / 20 Passed |