iso13485-audit-prep — Claude Code skill: what it does and install
Runs a six-question stress test on medical device quality systems before ISO 13485 audits, MDR reviews, or DHF closure.
/plugin marketplace add alirezarezvani/claude-skills
/plugin install compliance-os@claude-code-skillsWhat iso13485-audit-prep does
The skill interrogates medical device quality systems via /compliance-os:iso13485-audit-prep <scope>. It targets six critical compliance areas: three sampled design history files, five recent CAPA closures, process validation schedules, risk management files, post-market surveillance records, and Clause 5.6 management reviews.
The workflow relies on Python. It calls audit_schedule_optimizer.py and audit_simulator.py on provided JSON scope configurations. For AI medical technology, it applies an ISO 42001 impact assessment layer.
Missing prerequisite scripts stops the audit simulation before completion. The output delivers an explicit readiness verdict and three assigned remediation tasks.
What it helps with
- Verify design controls across sampled DHFs before device release
- Audit CAPA records for measurable effectiveness proof
- Spot stale IQ, OQ, or PQ process validations under Clause 7.5.6
- Prepare post-market surveillance documentation for MDR and FDA scrutiny
Example prompts for the agent
- /compliance-os:iso13485-audit-prep DHF-closure
- /compliance-os:iso13485-audit-prep programme-plan
- /compliance-os:iso13485-audit-prep MDR-FDA-alignment
How to install iso13485-audit-prep
1Plugin marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install compliance-os@claude-code-skillsThis installs the whole compliance-os plugin with all its skills
2Skills CLI (Vercel)
npx skills add alirezarezvani/claude-skills --skill iso13485-audit-prep -a claude-code3Manually: put the files in place
~/.claude/skills/iso13485-audit-prep/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/iso13485-audit-prep/
Manually: put the files in place
.agents/skills/iso13485-audit-prep/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/iso13485-audit-prep/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install alirezarezvani/claude-skills iso13485-audit-prep2Manually: put the files in place
.github/skills/iso13485-audit-prep/SKILL.mdPlatform CLI
gemini skills install https://github.com/alirezarezvani/claude-skills --path compliance-os/skills/iso13485-audit-prepManually: put the files in place
.devin/skills/iso13485-audit-prep/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about iso13485-audit-prep
How to install iso13485-audit-prep in Claude Code?
Add the marketplace source with /plugin marketplace add alirezarezvani/claude-skills, then install the package via /plugin install compliance-os@claude-code-skills.
What does iso13485-audit-prep do?
It interrogates a medical device quality management system across six scrutiny areas, assessing design controls, CAPA depth, and risk files before formal audits.
What is required to run the automated simulation workflow?
The workflow executes Python scripts audit_schedule_optimizer.py and audit_simulator.py against local scope JSON files.
Source text
SKILL.md · MIT
---
name: "iso13485-audit-prep"
description: "/compliance-os:iso13485-audit-prep [scope] — ISO 13485 QMS audit 6-question forcing interrogation. Design controls + CAPA + post-market focused. Use before Clause 8.2.4 internal audit, MDR / FDA QSR alignment review, or product-launch DHF closure audit."
---
# /compliance-os:iso13485-audit-prep — ISO 13485 QMS Forcing Questions
**Command:** `/compliance-os:iso13485-audit-prep <scope>`
The ISO 13485 QMS auditor pressure-tests any medical-device QMS work. Six traceability-obsessed questions before any internal audit, MDR / FDA QSR review, or product launch.
## When to Run
- Before annual Clause 8.2.4 internal audit
- Before MDR / FDA QSR alignment review (substantially harmonized post Feb 2026)
- Before new-device commercial launch (DHF closure audit)
- After significant CAPA closure event (effectiveness verification audit)
- Post-recall event (root cause + corrective action audit)
- Quarterly during regulatory submission preparation
## The Six QMS Questions
### 1. Pull three random DHFs. Are design verification + validation evidence complete?
**Most-cited finding area.**
- DHF must include: design plan + inputs + outputs + verification + validation + transfer + changes
- Sample stratified by product class (I, IIa, IIb, III per MDR)
- Reference `iso13485_audit_playbook.md` for the per-DHF checklist
- Verify traceability matrix from user needs through clinical evidence
### 2. Show me the last 5 CAPAs with effectiveness verification evidence.
**Second-most-cited finding area.**
- Containment / correction / corrective action distinction documented
- Root cause analysis depth: 5 Why minimum
- Effectiveness verification = measurable evidence, not "we updated the procedure"
- Closure approved by appropriate authority
- Repeat CAPAs across products = systemic issue trigger
### 3. When was process validation (IQ/OQ/PQ) last revalidated?
**Clause 7.5.6 — often stale.**
- Initial validation at process introduction
- Revalidation triggers: process change, equipment change, material change, periodic schedule
- Trend monitoring (SPC) where statistical techniques apply per Clause 8.4
- Cross-check with cs-fda-qsr-auditor for 21 CFR 820.75 alignment
### 4. Show me the risk management file for the highest-risk product.
**Clause 7.1 + ISO 14971:2019.**
- Risk management plan exists per product
- Hazard identification covers reasonable foreseeable misuse
- Risk control hierarchy applied: inherent safety > protective measures > information for safety
- Residual risk evaluated + accepted with rationale
- Post-production information feeds back into RMF
- For AI-enabled medical devices: layer ISO 42001 A.5 impact assessment on top
### 5. Show me post-market surveillance evidence — last 6 months.
**Clause 8.2.1 — high-stakes for MDR + FDA.**
- Customer complaint log + investigation closure
- Vigilance reports (serious incident / FSCA) submitted per applicable regulation
- Trend analysis evidence + management review input
- Post-market clinical follow-up (PMCF) for MDR high-risk devices
- MDR reports per 21 CFR 803 for US-marketed devices (cross-check with cs-fda-qsr-auditor)
### 6. Where's the management review evidence covering all Clause 5.6 inputs?
**Annual minimum; semi-annual for mature programs.**
- Required inputs per Clause 5.6.2: audit results, customer feedback, process performance, product conformity, status of preventive + corrective actions, follow-up from prior reviews, changes that could affect QMS, recommendations for improvement, regulatory requirements
- Outputs per Clause 5.6.3: improvement decisions, product requirement changes, resource needs
- Integrated review across frameworks (per `multi_framework_audit_playbook.md`) preferred
## Workflow
```bash
# 1. Audit programme optimization
python ${CLAUDE_PLUGIN_ROOT}/vendor/ra-qm-team/qms-audit-expert/scripts/audit_schedule_optimizer.py audit_scope.json
# 2. Mock audit for readiness check
python ../../skills/compliance-os/scripts/audit_simulator.py iso13485_scope.json
# 3. CAPA system review
# Route to ${CLAUDE_PLUGIN_ROOT}/vendor/ra-qm-team/capa-officer/ tools
# 4. Risk management file review
# Route to ${CLAUDE_PLUGIN_ROOT}/vendor/ra-qm-team/risk-management-specialist/ tools
```
## Output Format
```markdown
# ISO 13485 Audit Prep: <scope>
**Date:** YYYY-MM-DD
## The Decision Being Made
[programme-plan | DHF-closure | CAPA-health | post-market-trend | pre-cert | MDR-FDA-alignment]
## Design Control Status (sampled DHFs)
- DHFs sampled: <list product IDs>
- Verification evidence: pass/fail per DHF
- Validation evidence: pass/fail per DHF
- Clinical evidence (per MDR Annex XIV / FDA 510(k)): pass/fail
- Traceability matrix complete: yes/no per DHF
## CAPA Health
- CAPAs sampled: N
- Root cause analysis depth: adequate/inadequate per CAPA
- Effectiveness verification: complete/incomplete per CAPA
- Aging CAPAs > 90 days: N
- Repeat issues across products: <list>
## Process Validation Status
- Validations on schedule: %
- Stale validations (> 12 months since revalidation): <list>
- Statistical techniques applied per Clause 8.4: yes/no
## Risk Management File Status
- Sampled product RMFs: <list>
- Post-production updates in last 12 months: <count per product>
- Residual risk acceptance signed: yes/no
## Post-Market Surveillance
- Complaint trending: stable/rising
- MDR / vigilance reports filed timely: %
- PMCF on schedule (where required): yes/no
## Management Review Status
- Last review date: YYYY-MM-DD
- Required Clause 5.6.2 inputs present: yes/no
- Open action items past due: N
## Cross-Framework Impact
- EU MDR alignment: clean / gaps in <list>
- FDA QSR alignment (post-Feb 2026): substantially harmonized; FDA-specific overlays per cs-fda-qsr-auditor
- ISO 42001 AIMS overlay (if AI-enabled device): pass/fail per Annex A
## Verdict
🟢 READY | 🟡 CLOSE-DHF-GAPS-FIRST | 🔴 NOT-READY
## Top 3 Actions
[3 concrete next steps with owner + corrective-action timeline]
```
## Routing
- `/compliance-os:compliance-readiness` — for multi-framework view
- `/compliance-os:fda-qsr-audit-prep` — for FDA-specific overlay
- `/compliance-os:aims-audit` — for AI-enabled medical device ISO 42001 layer
- `/compliance-os:gdpr-audit-prep` — for personal-data overlap (clinical data, customer data)
- `/c-level-agents:cpo-review` — for executive product strategy decisions
- `/c-level-agents:decide` — to log the verdict
## Related
- Agent: [`cs-cqm-iso13485`](../../agents/cs-cqm-iso13485.md)
- Skill: [`qms-audit-expert`](${CLAUDE_PLUGIN_ROOT}/vendor/ra-qm-team/qms-audit-expert/SKILL.md)
- Playbook: [iso13485_audit_playbook.md](${CLAUDE_PLUGIN_ROOT}/vendor/ra-qm-team/qms-audit-expert/references/iso13485_audit_playbook.md)
- Adjacent: `../fda-qsr-audit-prep/`, `../aims-audit/`, `../compliance-readiness/`
---
**Version:** 1.0.0
© Alireza Rezvani · MIT · alirezarezvani/claude-skills