Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Med Info
Label-backed medication answers with citations and traceable IDs. RxCUI/NDC/set_id, key label sections, optional recalls/shortages/FAERS/interactions.
skill openclawclawhub Free
Label-backed medication answers with citations and traceable IDs. RxCUI/NDC/set_id, key label sections, optional recalls/shortages/FAERS/interactions.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, docs/PROBE_RESULTS.md, docs/README.md, docs/RESOURCES.md, findings.md, progress.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.2.3
Provenance
- Publisher
- DuncanDobbins
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
med-info
Medication answers you can cite. med-info turns a drug name (or RxCUI, NDC, SPL set_id) into a label-backed summary with traceable identifiers and source links. Use it when you want βshow your workβ medication information for notes, training, QA, internal docs, or agent workflows. Not medical advice.
What you get
Authoritative sources first: FDA labeling via openFDA + DailyMed, identifiers via RxNorm/RxClass. Citations + traceability: RxCUI, NDC (product/package), SPL set_id, effective dates, and URLs. The sections you actually need: boxed warning, indications, dosing, contraindications, warnings, interactions, adverse reactions. Optional safety context (opt-in flags): recalls, shortages, FAERS aggregates, interactions, drug class, hazardous drug flag, REMS linkouts, Orange Book, Purple Book. Automation friendly: --json output for pipelines.
Privacy
Do not include PHI. Query by drug name or identifiers only.
Quickstart
cd {baseDir} python3 scripts/med_info.py "Eliquis" --brief Common workflows: # Only the sections you care about python3 scripts/med_info.py "Eliquis" --sections contraindications,drug_interactions --brief # Find keyword hits in label text (fast way to answer "does the label mention X?") python3 scripts/med_info.py "Eliquis" --find ritonavir --find CYP3A4 --find P-gp --find-max 8 # Deterministic lookups by identifier (best for reproducibility) python3 scripts/med_info.py "70518-4370-0" # NDC (package) python3 scripts/med_info.py "70518-4370" # NDC (product) python3 scripts/med_info.py "05999192-ebc6-4198-bd1e-f46abbfb4f8a" # SPL set_id
Disambiguation (when there are multiple labels)
python3 scripts/med_info.py "metformin" --candidates python3 scripts/med_info.py "metformin" --candidates --pick 2 --brief python3 scripts/med_info.py "metformin" --set-id "05999192-ebc6-4198-bd1e-f46abbfb4f8a"
Optional add-ons
# Pharmacist-friendly output bundle python3 scripts/med_info.py "Eliquis" --pharmacist --brief # Safety signals and operational context (opt-in) python3 scripts/med_info.py "metformin" --recalls --brief python3 scripts/med_info.py "amphetamine" --shortages --brief python3 scripts/med_info.py "Eliquis" --faers --faers-max 10 python3 scripts/med_info.py "Eliquis" --interactions --interactions-max 20 python3 scripts/med_info.py "Eliquis" --rxclass python3 scripts/med_info.py "cyclophosphamide" --hazardous python3 scripts/med_info.py "isotretinoin" --rems # Reference datasets python3 scripts/med_info.py "adalimumab" --purplebook python3 scripts/med_info.py "metformin" --orangebook # Chemistry (best-effort) python3 scripts/med_info.py "ibuprofen" --chem
Output shaping
python3 scripts/med_info.py "ibuprofen" --json python3 scripts/med_info.py "Eliquis" --brief --sections all python3 scripts/med_info.py "Eliquis" --print-url --brief # prints queried URLs (api_key redacted)
Sources (high level)
openFDA: drug labels, NDC directory, recalls/enforcement, shortages, FAERS RxNorm / RxClass (RxNav): normalization and drug classes DailyMed: SPL label history and media MedlinePlus Connect: patient-friendly summaries (links) Orange Book and Purple Book: best-effort context
Safety notes
For clinical decisions, verify against the full official label. Input is treated as untrusted, openFDA search strings are escaped to prevent query injection.
Keys and rate limits
Works without any keys. Optionally: OPENFDA_API_KEY: increases openFDA rate limits for heavy usage.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- docs/PROBE_RESULTS.md
- docs/README.md
- docs/RESOURCES.md
- findings.md
- progress.md