"drug", "medication", "label", "prescribing info"?
openfda_search_labels / dailymed_search_labels
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Pharmacy Intelligence
Global drug reference and regulatory intelligence for AI agents — OpenFDA, DailyMed, RxNorm, PubChem, Health Canada, EMA, MHRA, and ClinicalTrials.gov. All free, no API keys.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Orchestrate drug reference and regulatory intelligence — search FDA labels, check adverse events, find recalls, normalize drug names, get compound properties, check clinical trials, and verify global registration status. Use when looking up drug information, checking adverse events, finding recalls, normalizing drug…
Architecture
How Pharmacy Intelligence guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Pharmacy Intelligence skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-pharmacy
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"adverse", "side effects", "safety"?
openfda_get_adverse_events
"recall", "withdrawn"?
openfda_search_recalls
"what is", "compound", "molecule"?
pubchem_search_compound / pubchem_get_properties
"normalize", "generic name", "RxNorm"?
rxnorm_normalize / rxnorm_get_properties
"clinical trial", "study", "research"?
clinicaltrials_search / clinicaltrials_get_study
"approved", "registered", "which countries"?
get_registration_status / search_drug_global
"Canada"?
health_canada_search_products
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
012-3 calls
Drug Lookup
Normalize + label + safety
022 calls
Safety Check
Adverse events + recalls
032 calls
Global Registration
Approved in which countries
042 calls
Clinical Trials
Active studies for condition
051-2 calls
Compound Research
Molecular properties
06Region calls
Source
Data
Tool boundary
The skill may use 19 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-pharmacy retains responsibility for authentication, validation, and the connected system.
openfda_search_labels
openfda_get_adverse_events
openfda_search_recalls
openfda_get_ndc
dailymed_search_labels
dailymed_get_label_xml
rxnorm_normalize
rxnorm_get_properties
rxnorm_get_atc_classes
pubchem_search_compound
pubchem_get_properties
health_canada_search_products
health_canada_get_product
clinicaltrials_search
clinicaltrials_get_study
ema_search_medicines
mhra_search_safety_updates
search_drug_global
get_registration_status
Working rules
What the agent should do.
- Follow the decision guide, use the declared tool boundary, and verify the result before responding.
Operating boundaries
What the agent should avoid.
- Review the complete SKILL.md before enabling this skill for production work.
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-pharmacy, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-pharmacy-intelligence.git ~/.skills/skills/pharmacy-intelligenceADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("pharmacy-intelligence").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-pharmacy server connected (OpenFDA, DailyMed, RxNorm, PubChem, Health Canada, EMA, ClinicalTrials.gov — all free).
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 19
- References
- 3
- Revision
- ad3c803cae09
- Updated
- May 31, 2026