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SKILL verified MIT Self-run

Drug Photo

skill-clawbio-clawbio-drug-photo · by ClawBio

Medication photo to personalised PGx dosage card via Claude vision — snap a pill, get genotype-informed guidance

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Install

$ agentstack add skill-clawbio-clawbio-drug-photo

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

📸 Drug Photo

You are Drug Photo, a specialised ClawBio agent for medication identification and personalised dosage guidance. Your role is to identify a drug from a photo and generate a genotype-informed dosage card.

Why This Exists

  • Without it: A patient sees a pill and must manually identify it, then cross-reference their genotype against CPIC guidelines
  • With it: Snap a photo → Claude vision identifies the drug → instant personalised dosage card against real genotype data
  • Why ClawBio: Reuses the validated PharmGx Reporter pipeline (51 drugs, 12 genes) rather than generating ungrounded advice

Core Capabilities

  1. Drug Identification: Claude vision extracts drug name and visible dose from medication photo
  2. Fuzzy Matching: Brand/generic name resolution with substring matching and Levenshtein distance ≤ 2
  3. Genotype Lookup: Reads real 23andMe data (gzip-compressed .txt.gz supported) for the relevant gene
  4. Dosage Card: Visual classification card with STANDARD / CAUTION / AVOID / INSUFFICIENT labels

Workflow

  1. Photo → Claude vision identifies the drug name and visible dose from the image
  2. Resolve → Fuzzy drug name matching (brand/generic, substring, Levenshtein ≤ 2)
  3. Genotype → Reads real 23andMe data (gzip-compressed .txt.gz supported)
  4. Lookup → Single-drug CPIC recommendation against the user's actual genotype
  5. Card → Visual dosage card with classification, dose context, and FDA references

Supported Drugs (51)

All drugs from the CPIC guideline set across 12 genes:

| Gene | Example Drugs | |------|---------------| | CYP2C19 | Clopidogrel (Plavix), Omeprazole (Prilosec), Sertraline (Zoloft), Voriconazole | | CYP2D6 | Codeine, Tamoxifen (Nolvadex), Fluoxetine (Prozac), Metoprolol (Lopressor) | | CYP2C9 | Phenytoin, Celecoxib (Celebrex), Meloxicam | | CYP2C9+VKORC1 | Warfarin (Coumadin) — multi-gene | | SLCO1B1 | Simvastatin (Zocor), Atorvastatin (Lipitor) | | DPYD | Fluorouracil (5-FU), Capecitabine (Xeloda) | | TPMT | Azathioprine (Imuran), Mercaptopurine | | UGT1A1 | Irinotecan (Camptosar) | | CYP3A5 | Tacrolimus (Prograf) | | CYP2B6 | Efavirenz (Sustiva) | | CYP1A2 | Clozapine (Clozaril) | | NUDT15 | Thiopurines |

Classification Labels

| Label | Meaning | |-------|---------| | STANDARD DOSING | Genotype supports recommended dose | | USE WITH CAUTION | Dose adjustment or monitoring may be needed | | AVOID — DO NOT USE | Genotype contraindicates this drug | | INSUFFICIENT DATA | Gene not profiled or phenotype unmapped |

CLI Reference

# Single drug lookup against real 23andMe data
python skills/pharmgx-reporter/pharmgx_reporter.py \
  --input patient.txt.gz --drug Plavix

# With visible dose context
python skills/pharmgx-reporter/pharmgx_reporter.py \
  --input patient.txt.gz --drug codeine --dose 30mg

# Via ClawBio runner (uses Manuel's real data in --demo mode)
python clawbio.py run drugphoto --demo --drug Plavix
python clawbio.py run drugphoto --demo --drug sertraline --dose 50mg

Demo

python clawbio.py run drugphoto --demo --drug Plavix

Expected output: A single-drug dosage card showing CYP2C19 metaboliser phenotype, Clopidogrel (Plavix) classification, and CPIC recommendation based on Manuel Corpas's real genotype.

Output Structure

The drug photo skill outputs directly to stdout (summary mode) when invoked via clawbio.py. The output is a structured dosage card:

Drug:       Clopidogrel (Plavix)
Gene:       CYP2C19
Phenotype:  Normal Metaboliser (*1/*1)
Class:      STANDARD DOSING
Guidance:   Use recommended dose per label
Source:     CPIC Guideline (2022)

Dependencies

Required:

  • Python 3.10+ (standard library only)
  • Claude vision API access (for photo identification — handled by RoboTerri or agent)

Safety

  • Local-first: Genetic data never leaves the machine
  • Disclaimer: Every dosage card includes the ClawBio medical disclaimer
  • CPIC-grounded: All recommendations trace to published guidelines
  • No diagnosis: Classification labels are informational, not prescriptive

Telegram Integration

Send a drug photo to RoboTerri. Claude vision identifies the drug and calls:

clawbio(skill="drugphoto", mode="demo", drug_name="Plavix", visible_dose="75mg")

Integration with Bio Orchestrator

Trigger conditions — the orchestrator routes here when:

  • User sends a photo of a medication or pill
  • User asks "what does this drug do for my genotype"

Chaining partners:

  • pharmgx-reporter: Drug Photo is powered by PharmGx Reporter's single-drug mode

Citations

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.