Content
75%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 dense, well-structured audit skill that assumes domain competence and delivers concrete evidence requirements plus a complete output template. Main gaps: workflow commands point at non-bundled scripts, two workflow steps are routing stubs, time-sensitive Feb-2026 harmonization claims are inline, and no error-recovery checkpoints exist for missing evidence.
Suggestions
Bundle or inline the essential checks from iso13485_audit_playbook.md and multi_framework_audit_playbook.md (or at minimum the per-DHF checklist), since no references/ or scripts/ ship with this skill and the cited paths live in other teams' skill trees.
Replace the two 'Route to ...' comment-only workflow steps with concrete, executable instructions, or make the audit runnable with the playbook checklists alone.
Move the time-sensitive regulatory claim ('MDR / FDA QSR substantially harmonized post Feb 2026') into a dedicated dated note or cross-reference so the guidance doesn't silently go stale, and add an explicit checkpoint for what to do when sampled evidence (DHF, CAPA, RMF) is missing or incomplete.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean checklist-style prose with zero explanation of what ISO 13485, CAPA, or DHF are — it assumes Claude's competence throughout. However, inline time-sensitive claims ("substantially harmonized post Feb 2026" on lines 15 and 129) are not placed in a deprecation/old-patterns note, which the guidelines say should penalize conciseness — anchor 4, not 5. | 4 / 5 |
Actionability | Each of the six questions carries concrete evidence requirements ("5 Why minimum", "last 6 months", "Aging CAPAs > 90 days"), and the workflow gives runnable python commands with argument files. But two of four workflow steps are only "Route to ..." comments, and the referenced scripts (audit_schedule_optimizer.py, audit_simulator.py) live in other skills' directories with no bundle fallback — minor gaps consistent with anchor 4 rather than the copy-paste-complete anchor 5. | 4 / 5 |
Workflow Clarity | A clear sequence exists: six ordered interrogation areas, a 4-step workflow with commands, and a full output template that functions as a checklist (pass/fail per DHF, per CAPA, yes/no per clause input). The work is read-only analysis, so the destructive/batch validation cap does not apply, but no explicit validate-and-recover checkpoint (e.g., what to do when sampled evidence is missing) exists — anchor 4, not 5. | 4 / 5 |
Progressive Disclosure | Well-organized sections with one-level-deep, clearly signaled references ("Reference iso13485_audit_playbook.md for the per-DHF checklist", "per multi_framework_audit_playbook.md") plus a Routing and Related map to sibling skills. No bundle files ship alongside this SKILL.md, and the referenced playbooks live in external skill trees, so navigation depends on files outside this bundle — good but not the fully self-contained anchor 5. | 4 / 5 |
Total | 16 / 20 Passed |