Content
85%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, lean instruction skill with a genuinely executable workflow: quantified hypothesis management, explicit termination criteria, a safe worktree protocol for dirty trees, and a verification checklist. Remaining improvements are minor — trimming the redundant Context section and specifying how probabilities should be updated from evidence.
Suggestions
Trim or merge the Context section: 'Used for debugging and root cause analysis. The agent navigates the hypothesis space without HITL pauses' duplicates the Overview and rule 3, so folding it into the Overview would save tokens without losing information.
Make the probability-update step actionable: 'Record the outcome, adjust probabilities' gives no method — specify how evidence should move the numbers (e.g., a simple rule like 'a decisive Success roughly doubles the hypothesis's share; renormalize the rest to sum to 100%').
State where the Hypothesis Board format is defined, or give a one-line template (hypothesis | probability | evidence), so the printed board is consistent across iterations.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational (e.g., the worktree rule with exact git commands, quantified thresholds like "3-7 candidate root causes" and "≥80% probability") and explains nothing Claude already knows. It sits at anchor 4 rather than 5 because the Context section ("Used for debugging and root cause analysis... without HITL (human-in-the-loop) pauses") largely duplicates the Overview and rule 3 and could be trimmed. | 4 / 5 |
Actionability | Guidance is mostly executable: exact commands (`git worktree add <scratch dir> <commit>`, `git worktree remove`), specific counts and thresholds, and a defined experiment format with stated Success/Failure implications. Per the instruction-skill note the absence of code is not penalized; it misses the top anchor only because "adjust probabilities" offers no method for how evidence should update the numbers. | 4 / 5 |
Workflow Clarity | A clearly sequenced four-step workflow (Initialize → Hypotheses → Experiment Loop → Final Report) with explicit validation steps ("Verify baseline is restored", "Evaluate the termination condition"), a built-in feedback loop (experiment → evidence → probability update → repeat), and a final verification checklist. This matches the anchor for clear sequence with explicit validation, feedback loops, and checklists; the level below would require missing checkpoints, which are present. | 5 / 5 |
Progressive Disclosure | The skill is small (~55 lines) with no content that belongs in separate files — no reference material is inlined — and it is organized into clearly headed sections (Overview, Context, Rules, Instructions, Verification). Per the simple-skill guidance, well-organized sections with no need for external references satisfy the top anchor. | 5 / 5 |
Total | 18 / 20 Passed |