The first veterinary AI skill library for OpenClaw and compatible agent frameworks.
English
Note VetClaw is a skill library, not a monolithic application. Install the full collection or copy only the skill folders relevant to your veterinary workflows.
There are 869+ medical AI skills for human medicine. There are zero for veterinary medicine.
Veterinary AI is not a subset of human AI. Drug safety varies by species. A dose that saves a dog can kill a cat. Breed predispositions change differential diagnosis rankings. Evidence hierarchies differ (textbooks remain the gold standard; PubMed coverage is sparse for many species). Regulatory frameworks are distinct (FDA CVM, not FDA CDER).
VetClaw encodes this domain knowledge into structured, reusable skills that any OpenClaw-compatible agent can load immediately.
See it in action: Species Safety Checker | Cross-Species Drug Safety Matrix | Rosie Case Protocol
Built by OpenVet.ai -- the AI hospital for every animal on earth.
VetClaw skills are AI reasoning templates only. They are not a substitute for professional veterinary diagnosis, treatment, or clinical decision-making. All outputs must be reviewed and approved by a licensed veterinarian. The authors and OpenVet.ai assume no liability for any clinical use. In oncology or experimental cases, always work under veterinary supervision and comply with local regulations. Always contact your veterinarian or a poison control center (ASPCA 888-426-4435 / Pet Poison Helpline 855-764-7661) in emergencies.
| Domain | Skills | Focus |
|---|---|---|
| Clinical | 17 | Differential diagnosis, emergency triage, clinical guidelines, exam workflows, cardiology, dermatology, ophthalmology, orthopedics, pain, nutrition, dental, anesthesia, wound management, fluid therapy, personalized oncology |
| Pharma | 8 | Drug lookup, FDA Green Book, drug interactions, adverse event reporting, withdrawal times, compounding, precision medicine/mRNA design, neoantigen vaccine design |
| Species | 10 | Breed predisposition, species-aware reasoning, exotic/wildlife, canine, feline, equine, ruminant, avian, camelid, swine |
| Literature | 7 | Veterinary PubMed search, evidence grading, textbook hierarchy, comparative medicine, OMIA, VBO, comparative oncology |
| Safety | 5 | Toxicology calculator, lethal variance detection, contraindication checking, anesthesia safety, NSAID safety |
| Databases | 4 | openFDA Animal, FARAD, OBO Foundry ontologies, NCBI Taxonomy |
| Workflow | Example Skills |
|---|---|
| Emergency toxicosis | toxicology-calculator, emergency-triage |
| Drug safety check | veterinary-drug-lookup, lethal-variance-detection |
| Breed-aware diagnosis | breed-predisposition, differential-diagnosis |
| Literature review | veterinary-pubmed-search, evidence-grading |
| Exotic species case | exotic-wildlife-medicine, species-aware-reasoning |
Try these prompts in an OpenClaw session after installing VetClaw skills:
Toxicology triage:
"My 10kg dog ate 100g of dark chocolate 2 hours ago. What's the toxicity risk and what do I do?"
Expected: Agent loads
toxicology-calculator+emergency-triage, calculates theobromine dose (~160 mg/kg), flags as potentially severe, and recommends immediate veterinary attention with decontamination protocol.
Breed-aware cardiology:
"7-year-old Cavalier King Charles Spaniel with a Grade IV murmur. Workup?"
Expected: Agent loads
breed-predisposition+cardiology-workup, flags CKCS MMVD predisposition, applies murmur grading and ACVIM staging criteria, recommends echocardiography to assess B1 vs B2.
Cross-species drug safety:
"Can I give acetaminophen to my cat for pain?"
Expected: Agent loads
lethal-variance-detection+contraindication-checker, immediately flags acetaminophen as lethal in cats (toxic methemoglobinemia), recommends species-safe alternatives.
OpenClaw loads workspace skills from <workspace>/skills. Setup:
git clone https://github.com/OpenVet-Projects/VetClaw.git
mkdir -p ~/.openclaw/workspace/skills
cp -R VetClaw/skills/* ~/.openclaw/workspace/skills/
Start a new OpenClaw session so skill folders are picked up. If you already keep your workspace in git, merge only the folders you want.
VetClaw/
├── README.md
├── LICENSE
├── CONTRIBUTING.md
└── skills/
├── clinical/ # 17 skills: diagnosis, triage, guidelines, exams, specialty workups, personalized oncology
├── pharma/ # 8 skills: drug lookup, FDA Green Book, interactions, adverse events, withdrawal, compounding, mRNA design, neoantigen vaccine
├── species/ # 10 skills: breed predisposition, species reasoning, canine, feline, equine, ruminant, avian, exotic, camelid, swine
├── literature/ # 7 skills: PubMed search, evidence grading, textbook hierarchy, comparative medicine, OMIA, VBO, comparative oncology
├── safety/ # 5 skills: toxicology, lethal variance, contraindications, anesthesia safety, NSAID safety
└── databases/ # 4 skills: openFDA, FARAD, OBO Foundry, NCBI Taxonomy
Species-first. Every skill assumes the species matters. Drug skills require species before returning results. Diagnostic skills weight differentials by species and breed. This is the foundational difference from human medical AI skills.
Evidence hierarchy matches veterinary reality. In human medicine, PubMed systematic reviews sit at the top. In veterinary medicine, board-certified specialist textbooks (Ettinger's, Plumb's, Nelson & Couto) remain the gold standard for most clinical decisions. These skills encode that hierarchy.
Safety is not optional. Veterinary medicine has extreme species-dependent drug safety variance. Acetaminophen is routine in dogs, lethal in cats. Ivermectin is safe in most breeds, neurotoxic in MDR1-mutant collies. Skills in the safety category enforce species disambiguation before any drug information is returned.
Public data, structured reasoning. VetClaw skills reference publicly available databases and knowledge (FDA Green Book, OMIA, VBO, PubMed, openFDA). The value is in the structured veterinary reasoning patterns, not proprietary data.
In March 2026, Australian tech entrepreneur Paul Conyngham (17 years in machine learning) saved his rescue dog Rosie from aggressive mast cell cancer using AI.
Rosie was given months to live. Paul:
- Paid for professional tumor + normal DNA sequencing at UNSW
- Used ChatGPT to brainstorm strategy and build analysis pipelines
- Leveraged AlphaFold to model neoantigens and protein structures
- Used Grok (and Gemini) to refine the final vaccine construct
- Collaborated with nanomedicine pioneer Prof. Thordarson at UNSW's RNA Institute
Result: A fully personalized mRNA cancer vaccine manufactured in under 2 months. Dramatic tumor shrinkage (50-75%) and Rosie back to normal life. First-ever bespoke mRNA cancer vaccine for a dog.
This is exactly the future VetClaw was built for.
VetClaw skills provide the veterinary-specific reasoning patterns that generic LLMs lack: species-aware safety checks, evidence hierarchy enforcement, toxicology and lethal-variance guardrails, breed predisposition and differential diagnosis structuring. Combined with OpenClaw agents and tools like ChatGPT, AlphaFold, or Grok, users can now run safe, structured workflows for personalized oncology, neoantigen identification, mRNA vaccine blueprinting, and genomics-driven therapies. The Rosie case reported the pipeline works in a real clinical setting—a breakthrough for veterinary personalized medicine.
OpenVet.ai's full platform takes this further, orchestrating these skills into multi-agent clinical rooms with transparent citations and specialist oversight.
We are actively expanding the Deep Science category with oncology and personalized-medicine skills so every veterinarian can access this level of breakthrough safely.
Every SKILL.md follows the AgentSkills-compatible structure:
---
name: skill-name
description: One-line description used for agent skill matching.
---# Skill Name
## Overview -- what this skill enables
## When to Use -- trigger conditions for the AI agent
## Key Capabilities -- specific tools, APIs, databases
## Workflow -- step-by-step reasoning pattern
## Output Format -- what the agent should produce
## Limitations -- what this skill cannot doVetClaw includes lightweight reference clients for the data sources referenced by skills. These are starter implementations for integrating real veterinary data into your workflows — not full production SDKs. Contributions to expand coverage and add tests are welcome.
openFDA Animal & Veterinary Adverse Events — Python and TypeScript clients for querying the FDA's veterinary adverse event database. Search by species, breed, drug, reaction. Count, paginate, and aggregate.
from openfda_vet import OpenFDAVet
client = OpenFDAVet(api_key="YOUR_KEY")
client.top_reactions("Dog", drug="Ivermectin")
client.search(species="Cat", drug="Amoxicillin", limit=10)See sdk/ for full documentation, TypeScript client, and API reference.
VetClaw skills are reasoning templates today. Here is where we are headed:
Now (v0.1 — Skill Library): 51 structured skills covering clinical workflows, drug safety, species medicine, and personalized oncology. The neoantigen vaccine design skill includes a complete practical guide: decision trees, lab directories, bioinformatics commands, and synthesis partner options. This is the most comprehensive open-source resource for veterinary personalized oncology that exists.
Next (v0.2 — Computational Analysis Tool): A web interface where veterinary oncologists upload sequencing data (VCF files) and receive ranked neoantigen candidate lists. Built on open-source tools (pVACtools, NetMHCpan, OpenVax pipeline) adapted for canine DLA and feline FLA typing.
Future (v0.3 — Integrated Pipeline): Partnerships with veterinary genomics labs and RNA synthesis facilities to offer a coordinated pathway from tumor biopsy through neoantigen analysis to vaccine candidate delivery. Not end-to-end automation (wet lab steps remain physical), but a guided, connected workflow.
If you are a veterinary oncologist, genomics researcher, or RNA synthesis facility interested in collaborating on v0.2 or v0.3, contact us at openvet.ai.
| Repository | Relationship |
|---|---|
| OpenClaw | The agent runtime VetClaw skills are designed for. |
| LabClaw | Stanford/Princeton biomedical research skills. VetClaw complements LabClaw for veterinary-specific use cases. |
| OpenClaw-Medical-Skills | 869 human medicine skills. VetClaw fills the veterinary gap. |
| ClawBio | Bioinformatics agent skills. Relevant for veterinary genomics workflows. |
OpenVet.ai is building the AI hospital for every animal on earth. VetClaw represents our commitment to open veterinary AI infrastructure. For the full clinical platform with specialist rooms, cited evidence, and species-specific decision support, visit openvet.ai.
We welcome contributions from veterinary professionals, researchers, and developers. If you work with animal health data, veterinary diagnostics, or species-specific medicine, we want your expertise encoded as skills. See CONTRIBUTING.md for guidelines.
Skills developed by the OpenVet.ai team. Veterinary domain expertise provided by board-certified veterinary specialists.