Agent skill

Fda Consultant Specialist

by LeoYeAI in LeoYeAI/openclaw-master-skills

FDA regulatory consultant for medical device companies. An agent skill from LeoYeAI/openclaw-master-skills.

MITAuto-check passedLegal & Compliance

Install Fda Consultant Specialist

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill fda-consultant-specialist -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills fda-consultant-specialist --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fda-consultant-specialist .claude/skills/fda-consultant-specialist && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fda-consultant-specialist
GitHub stars
2.2k
Token cost
~2.5k tokens
SKILL.md length
679 words
Files
10 (incl. scripts, references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

FDA regulatory consultant for medical device companies. An agent skill from LeoYeAI/openclaw-master-skills.

  • Works in 5 steps: Identify product code and classification → Search 510(k) database for predicates → Assess substantial equivalence feasibility → …
  • User mentions FDA submission
  • SKILL.md covers Table of Contents, FDA Pathway Selection, 510(k) Submission Process and QSR Compliance, plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Fda Consultant Specialist is an agent skill from LeoYeAI/openclaw-master-skills. FDA regulatory consultant for medical device companies. Provides 510(k)/PMA/De Novo pathway guidance, QSR (21 CFR 820) compliance, HIPAA assessments, and device cybersecurity. Use when user mentions FDA submission, 510(k), PMA, De Novo, QSR, premarket, predicate device, substantial equivalence, HIPAA medical device, or FDA cybersecurity.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `_meta.json`, `references/device_cybersecurity_guidance.md` and `references/fda_capa_requirements.md`).

It sits in Legal & Compliance, covering Healthcare and finance regulation. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • User mentions FDA submission
  • Predicate device
  • Substantial equivalence
  • HIPAA medical device

Example prompts

  • “/fda-consultant-specialist”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify product code and classification
  2. Search 510(k) database for predicates
  3. Assess substantial equivalence feasibility
  4. Prepare Q-Sub questions for FDA
  5. Schedule Pre-Sub meeting if needed

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fda Consultant Specialist loads about 2.5k tokens when it runs, and up to ~25k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 679 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~25k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 679 words, ~2,492 tokens.

Download SKILL.mdSave it as .claude/skills/fda-consultant-specialist/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
fda-consultant-specialist
description
FDA regulatory consultant for medical device companies. Provides 510(k)/PMA/De Novo pathway guidance, QSR (21 CFR 820) compliance, HIPAA assessments, and device cybersecurity. Use when user mentions FDA submission, 510(k), PMA, De Novo, QSR, premarket, predicate device, substantial equivalence, HIPAA medical device, or FDA cybersecurity.

FDA Consultant Specialist

FDA regulatory consulting for medical device manufacturers covering submission pathways, Quality System Regulation (QSR), HIPAA compliance, and device cybersecurity requirements.

Table of Contents


FDA Pathway Selection

Determine the appropriate FDA regulatory pathway based on device classification and predicate availability.

Decision Framework
Predicate device exists?
├── YES → Substantially equivalent?
│   ├── YES → 510(k) Pathway
│   │   ├── No design changes → Abbreviated 510(k)
│   │   ├── Manufacturing only → Special 510(k)
│   │   └── Design/performance → Traditional 510(k)
│   └── NO → PMA or De Novo
└── NO → Novel device?
    ├── Low-to-moderate risk → De Novo
    └── High risk (Class III) → PMA
Pathway Comparison
PathwayWhen to UseTimelineCost
510(k) TraditionalPredicate exists, design changes90 days$21,760
510(k) SpecialManufacturing changes only30 days$21,760
510(k) AbbreviatedGuidance/standard conformance30 days$21,760
De NovoNovel, low-moderate risk150 days$134,676
PMAClass III, no predicate180+ days$425,000+
Pre-Submission Strategy
  1. Identify product code and classification
  2. Search 510(k) database for predicates
  3. Assess substantial equivalence feasibility
  4. Prepare Q-Sub questions for FDA
  5. Schedule Pre-Sub meeting if needed

Reference: See fda_submission_guide.md for pathway decision matrices and submission requirements.


510(k) Submission Process

Workflow
Phase 1: Planning
├── Step 1: Identify predicate device(s)
├── Step 2: Compare intended use and technology
├── Step 3: Determine testing requirements
└── Checkpoint: SE argument feasible?

Phase 2: Preparation
├── Step 4: Complete performance testing
├── Step 5: Prepare device description
├── Step 6: Document SE comparison
├── Step 7: Finalize labeling
└── Checkpoint: All required sections complete?

Phase 3: Submission
├── Step 8: Assemble submission package
├── Step 9: Submit via eSTAR
├── Step 10: Track acknowledgment
└── Checkpoint: Submission accepted?

Phase 4: Review
├── Step 11: Monitor review status
├── Step 12: Respond to AI requests
├── Step 13: Receive decision
└── Verification: SE letter received?
Required Sections (21 CFR 807.87)
SectionContent
Cover LetterSubmission type, device ID, contact info
Form 3514CDRH premarket review cover sheet
Device DescriptionPhysical description, principles of operation
Indications for UseForm 3881, patient population, use environment
SE ComparisonSide-by-side comparison with predicate
Performance TestingBench, biocompatibility, electrical safety
Software DocumentationLevel of concern, hazard analysis (IEC 62304)
LabelingIFU, package labels, warnings
510(k) SummaryPublic summary of submission
Common RTA Issues
IssuePrevention
Missing user feeVerify payment before submission
Incomplete Form 3514Review all fields, ensure signature
No predicate identifiedConfirm K-number in FDA database
Inadequate SE comparisonAddress all technological characteristics

QSR Compliance

Quality System Regulation (21 CFR Part 820) requirements for medical device manufacturers.

Key Subsystems
SectionTitleFocus
820.20Management ResponsibilityQuality policy, org structure, management review
820.30Design ControlsInput, output, review, verification, validation
820.40Document ControlsApproval, distribution, change control
820.50Purchasing ControlsSupplier qualification, purchasing data
820.70Production ControlsProcess validation, environmental controls
820.100CAPARoot cause analysis, corrective actions
820.181Device Master RecordSpecifications, procedures, acceptance criteria
Design Controls Workflow (820.30)
Step 1: Design Input
└── Capture user needs, intended use, regulatory requirements
    Verification: Inputs reviewed and approved?

Step 2: Design Output
└── Create specifications, drawings, software architecture
    Verification: Outputs traceable to inputs?

Step 3: Design Review
└── Conduct reviews at each phase milestone
    Verification: Review records with signatures?

Step 4: Design Verification
└── Perform testing against specifications
    Verification: All tests pass acceptance criteria?

Step 5: Design Validation
└── Confirm device meets user needs in actual use conditions
    Verification: Validation report approved?

Step 6: Design Transfer
└── Release to production with DMR complete
    Verification: Transfer checklist complete?
CAPA Process (820.100)
  1. Identify: Document nonconformity or potential problem
  2. Investigate: Perform root cause analysis (5 Whys, Fishbone)
  3. Plan: Define corrective/preventive actions
  4. Implement: Execute actions, update documentation
  5. Verify: Confirm implementation complete
  6. Effectiveness: Monitor for recurrence (30-90 days)
  7. Close: Management approval and closure

Reference: See qsr_compliance_requirements.md for detailed QSR implementation guidance.


HIPAA for Medical Devices

HIPAA requirements for devices that create, store, transmit, or access Protected Health Information (PHI).

Show full SKILL.md (272 more words)Show less
Applicability
Device TypeHIPAA Applies
Standalone diagnostic (no data transmission)No
Connected device transmitting patient dataYes
Device with EHR integrationYes
SaMD storing patient informationYes
Wellness app (no diagnosis)Only if stores PHI
Required Safeguards
Administrative (§164.308)
├── Security officer designation
├── Risk analysis and management
├── Workforce training
├── Incident response procedures
└── Business associate agreements

Physical (§164.310)
├── Facility access controls
├── Workstation security
└── Device disposal procedures

Technical (§164.312)
├── Access control (unique IDs, auto-logoff)
├── Audit controls (logging)
├── Integrity controls (checksums, hashes)
├── Authentication (MFA recommended)
└── Transmission security (TLS 1.2+)
Risk Assessment Steps
  1. Inventory all systems handling ePHI
  2. Document data flows (collection, storage, transmission)
  3. Identify threats and vulnerabilities
  4. Assess likelihood and impact
  5. Determine risk levels
  6. Implement controls
  7. Document residual risk

Reference: See hipaa_compliance_framework.md for implementation checklists and BAA templates.


Device Cybersecurity

FDA cybersecurity requirements for connected medical devices.

Premarket Requirements
ElementDescription
Threat ModelSTRIDE analysis, attack trees, trust boundaries
Security ControlsAuthentication, encryption, access control
SBOMSoftware Bill of Materials (CycloneDX or SPDX)
Security TestingPenetration testing, vulnerability scanning
Vulnerability PlanDisclosure process, patch management
Device Tier Classification

Tier 1 (Higher Risk):

  • Connects to network/internet
  • Cybersecurity incident could cause patient harm

Tier 2 (Standard Risk):

  • All other connected devices
Postmarket Obligations
  1. Monitor NVD and ICS-CERT for vulnerabilities
  2. Assess applicability to device components
  3. Develop and test patches
  4. Communicate with customers
  5. Report to FDA per guidance
Coordinated Vulnerability Disclosure
Researcher Report
    ↓
Acknowledgment (48 hours)
    ↓
Initial Assessment (5 days)
    ↓
Fix Development
    ↓
Coordinated Public Disclosure

Reference: See device_cybersecurity_guidance.md for SBOM format examples and threat modeling templates.


Resources

scripts/
ScriptPurpose
fda_submission_tracker.pyTrack 510(k)/PMA/De Novo submission milestones and timelines
qsr_compliance_checker.pyAssess 21 CFR 820 compliance against project documentation
hipaa_risk_assessment.pyEvaluate HIPAA safeguards in medical device software
references/
FileContent
fda_submission_guide.md510(k), De Novo, PMA submission requirements and checklists
qsr_compliance_requirements.md21 CFR 820 implementation guide with templates
hipaa_compliance_framework.mdHIPAA Security Rule safeguards and BAA requirements
device_cybersecurity_guidance.mdFDA cybersecurity requirements, SBOM, threat modeling
fda_capa_requirements.mdCAPA process, root cause analysis, effectiveness verification
Usage Examples
bash
# Track FDA submission status
python scripts/fda_submission_tracker.py /path/to/project --type 510k

# Assess QSR compliance
python scripts/qsr_compliance_checker.py /path/to/project --section 820.30

# Run HIPAA risk assessment
python scripts/hipaa_risk_assessment.py /path/to/project --category technical

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (scripts, references) in skills/fda-consultant-specialist of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • references/device_cybersecurity_guidance.md
  • references/fda_capa_requirements.md
  • references/fda_submission_guide.md
  • references/hipaa_compliance_framework.md
  • references/qsr_compliance_requirements.md
  • scripts/fda_submission_tracker.py
  • scripts/hipaa_risk_assessment.py
  • scripts/qsr_compliance_checker.py

Open the folder on GitHubat commit e5199b5

Compare with similar skills

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Fda Consultant Specialist compared with similar skills
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HIPAA Pre-Deployment Compliance Checkmaziyarpanahi/openmed5.5k—~2kAutomated safety check: PassApache-2.0
Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~2.3kAutomated safety check: PassMIT
ISO Standards Readiness EvidenceK-Dense-AI/scientific-agent-skills48k1 repos~4.6kAutomated safety check: NotesMIT
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Questions about Fda Consultant Specialist

What does Fda Consultant Specialist do?

FDA regulatory consultant for medical device companies. An agent skill from LeoYeAI/openclaw-master-skills. Fda Consultant Specialist is an agent skill from LeoYeAI/openclaw-master-skills. FDA regulatory consultant for medical device companies.

When should I use Fda Consultant Specialist?

Fda Consultant Specialist fits situations like: user mentions FDA submission; predicate device; substantial equivalence; HIPAA medical device.

How do I install Fda Consultant Specialist in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill fda-consultant-specialist -a claude-code`. Or copy the skill folder (skills/fda-consultant-specialist in LeoYeAI/openclaw-master-skills) into .claude/skills/fda-consultant-specialist in your project. Claude Code loads it when a task matches its description.

How do I install Fda Consultant Specialist in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill fda-consultant-specialist -a codex`. Or copy the skill folder (skills/fda-consultant-specialist in LeoYeAI/openclaw-master-skills) into .agents/skills/fda-consultant-specialist in your project. Codex loads it when a task matches its description.

Can I use Fda Consultant Specialist in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill fda-consultant-specialist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fda-consultant-specialist, .gemini/skills/fda-consultant-specialist, .github/skills/fda-consultant-specialist and .opencode/skills/fda-consultant-specialist in your project.

What does Fda Consultant Specialist need to run?

Going by SKILL.md and its folder, Fda Consultant Specialist needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Fda Consultant Specialist access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Fda Consultant Specialist safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Fda Consultant Specialist use?

Fda Consultant Specialist is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fda Consultant Specialist use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 23k tokens, read only when the agent opens those files.

What are the alternatives to Fda Consultant Specialist?

Skills that share tags, products or a category with Fda Consultant Specialist: HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), HIPAA Pre-Deployment Compliance Check (maziyarpanahi/openmed, 5.5k stars), Hipaa Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars) and ISO Standards Readiness Evidence (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fda Consultant Specialist?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.