Content
81%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 is highly actionable with executable script usage, complete templates, well-sequenced workflows that include explicit validation checkpoints and failure-recovery loops, and properly signaled one-level-deep references. The main weaknesses are systematic duplication of RCA content between SKILL.md and rca-methodologies.md, and an undocumented bundled script (root_cause_analyzer.py) missing from the Tools section.
Suggestions
Replace the inline 5-Why worked example, 6M fishbone table, and RCA decision tree in SKILL.md with a brief method-selection summary and a pointer to references/rca-methodologies.md, keeping only one canonical copy of each.
Add a short usage block for scripts/root_cause_analyzer.py to the Tools section (e.g., its --method 5why/--interactive invocations from its docstring) so every bundled script is discoverable from SKILL.md.
Merge the Reference Documentation section with the inline 'See references/...' mentions to state each file's purpose once, avoiding a second enumeration of the same contents.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The worked 5-Why example, the 6M fishbone category table, and the RCA method-selection decision tree all appear inline in SKILL.md and again in references/rca-methodologies.md, and the Reference Documentation section re-enumerates that same content — mostly efficient, but the duplication (~80 lines that could simply live in the reference) means it could be tightened. Not 4 because the overlap is systematic rather than a few trimmable instances; not 2 because most tables and templates earn their place and no space is spent explaining concepts Claude already knows. | 3 / 5 |
Actionability | Commands are copy-paste ready ("python scripts/capa_tracker.py --capas capas.json --output json"), the sample CAPA JSON input is complete, the action-plan template is fill-in concrete with success criteria and verification fields, and the worked calibration 5-Why example covers the common case. Fits 'fully executable; copy-paste ready; specific examples cover the common cases'. | 5 / 5 |
Workflow Clarity | All three workflows (investigation, action planning, effectiveness verification) are numbered 1-8 with bolded validation steps, evidence and root-cause validation checklists are provided, and the effectiveness decision tree includes an explicit error-recovery feedback loop ("CAPA INEFFECTIVE → re-investigate root cause / revise actions"). Matches 'clear sequence with explicit validation steps; feedback loops for error recovery; checklists'. | 5 / 5 |
Progressive Disclosure | Both referenced files (references/rca-methodologies.md, references/effectiveness-verification-guide.md) exist, are one level deep, and are clearly signaled both inline ("See `references/...` for complete method details") and in a Reference Documentation section with contents lists. However, scripts/root_cause_analyzer.py exists in the bundle but is never mentioned in SKILL.md, leaving a bundled tool undiscoverable — a minor organization gap fitting anchor 4 rather than the clean 5. | 4 / 5 |
Total | 17 / 20 Passed |