NoahAI clinical-trial query
Search clinical trial databases similar to ClinicalTrials.gov. Use this skill whenever the user asks about clinical trials, drug trials, indications, targets... Skill: NoahAI clinical-trial query Owner: bombert Summary: Search clinical trial databases similar to ClinicalTrials.gov. Use this skill whenever the user asks about clinical trials, drug trials, indications, targets... Tags: latest:1.0.8 Version history: v1.0.8 | 2026-04-19T15:12:15.551Z | user clinical-trial-search v1.0.8 - Updated accepted value lists for drug_modality and drug_feature fields; inputs must now use
Rank
62
Safety
84
Downloads
1.4k
Updated
Oct 10, 2026
Version
1.0.8
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.4K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.4K downloadsadoption · observed Oct 10, 2026
- Latest release
- 1.0.8release · observed Apr 19, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17ezwe11e1pyfxzka699prf4x83j1kd:clinical-trial- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-bombert-clinical-trial/snapshot"
Documentation
CLAWHUB
76,301 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
---
name: clinical-trial-search
description: "Search clinical trial databases similar to ClinicalTrials.gov. Use this skill whenever the user asks about clinical trials, drug trials, indications, targets, drug names, trial phases, NCT IDs, enrollment, or recruitment. Automatically parses natural language questions into structured query parameters and calls the backend API to return matching trial records. Trigger words include: clinical trial, NCT, drug development, indication, target, phase, enrollment, recruitment, sponsor, cohort, arm, endpoint, efficacy, safety data."
metadata: { "openclaw": { "emoji": "🔍︎", "requires": { "bins": ["python3"], "env":["NOAH_API_TOKEN"]},"primaryEnv":"NOAH_API_TOKEN" } }
---
# Clinical Trial Search Skill
This skill converts natural language questions into structured API queries against a clinical trial database, then presents the results in a readable format.
## Workflow
1. **Parse user intent** — Extract key entities from the user's question
2. **Build query parameters** — Map entities to the query schema below
3. **Execute the query** — Run `scripts/search.py`
4. **Present results** — Format and display trials to the user
## Step 1: Extract Keywords
Identify the following entity types from the user's question:
| Field | Type | Description | Example |
|-------|------|-----------------------------------|-----------------------------------------------------------|
| `nctid` | `List[str]` | NCT identifier(s) | `["NCT04280783"]` |
| `acronym` | `List[str]` | Trial acronym(s) | `["KEYNOTE-590"]` |
| `company` | `List[str]` | Sponsor company name(s) | `["Pfizer", "Roche"]` |
| `indication` | `List[str]` | Disease / indication | `["lung cancer", "NSCLC"]` |
| `phase` | `List[str]` | Trial phase(s) | `["Preclinical", "I", "II", "III", "IV", "Others"]` |
| `target` | `dict` | Biological target(s) | `{"logic": "or", "data": ["PD-1", "VEGF"]}` |
| `drug_name` | `dict` | Drug name(s) | `{"logic": "or", "data": ["pembrolizumab"]}` |
| `drug_modality` | `dict` | Drug modality | `{"logic": "or", "data": ["Vaccine", "mRNA"]}` |
| `drug_feature` | `dict` | Drug feature(s) | `{"logic": "or", "data": ["Biologic", "Non-NME"]}` |
| `location` | `dict` | Trial location(s) | `{"logic": "or", "data": ["China", "United States", "Japan"]}` |
| `has_result_summary` | `bool` | Only trials with result summaries | `true` |
| `official_data` | `bool` | Only official data sources | `false` |
| `page_n_meta.json
{
"ownerId": "kn7breb6pyfkdv8fkp8xfeqj9s82cgy0",
"slug": "clinical-trial",
"version": "1.0.8",
"publishedAt": 1776611535551
}skill-card.md
## Description: Searches clinical trial databases by turning natural language questions into structured queries and returning matching trial records from NoahAI clinical trial data. This skill is ready for commercial/non-commercial use. ## Publisher: [bombert](https://clawhub.ai/user/bombert) ### License/Terms of Use: MIT-0 ## Use Case: External users and developers use this skill to search clinical trial records by NCT ID, sponsor, indication, phase, drug name, drug modality, target, location, and result availability, then review matching trial summaries. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Clinical-trial search terms and the NOAH_API_TOKEN are sent to Noah's API. Mitigation: Use a dedicated token, keep it in the environment, and install only where sending these search terms to Noah's API is acceptable. Risk: Queries could include personal health details. Mitigation: Avoid entering personal health information or other sensitive personal data in clinical-trial search queries. Risk: The optional output path can overwrite files accessible to the running user. Mitigation: Review the target path before using file output and run the skill from an isolated working directory when possible. Risk: Runtime behavior depends on a Python environment, the requests package, network access, and a valid Noah API token. Mitigation: Install dependencies in an isolated environment and verify NOAH_API_TOKEN is scoped appropriately before use. ## Reference(s): - [ClawHub skill page](https://clawhub.ai/bombert/skills/clinical-trial) - [NoahAI website](https://noah.bio) - [NoahAI clinical trial API endpoint](https://www.noah.bio/api/skills/clinical_trial_search/) ## Skill Output: **Output Type(s):** [Text, Markdown, JSON, Shell commands, Guidance] **Output Format:** [Markdown or text summaries, with optional raw JSON API responses and shell commands.] **Output Parameters:** [1D] **Other Properties Related to Output:** [Requires NOAH_API_TOKEN; optional output paths can write result text to files selected by the user.] ## Skill Version(s): 1.0.8 (source: server release metadata) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
{
"facts": [
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawhub",
"href": "https://clawhub.ai/bombert/skills/clinical-trial",
"sourceUrl": "https://clawhub.ai/bombert/skills/clinical-trial",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T15:45:13.295Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-bombert-clinical-trial/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-bombert-clinical-trial/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-10T15:45:13.295Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1.4K downloads",
"href": "https://clawhub.ai/bombert/clinical-trial",
"sourceUrl": "https://clawhub.ai/bombert/clinical-trial",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T15:45:13.295Z",
"isPublic": true
},
{
"factKey": "latest_release",
"category": "release",
"label": "Latest release",
"value": "1.0.8",
"href": "https://clawhub.ai/bombert/clinical-trial",
"sourceUrl": "https://clawhub.ai/bombert/clinical-trial",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-04-19T15:12:15.551Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-bombert-clinical-trial/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-bombert-clinical-trial/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
],
"events": [
{
"eventType": "release",
"title": "Release 1.0.8",
"description": "clinical-trial-search v1.0.8 - Updated accepted value lists for `drug_modality` and `drug_feature` fields; inputs must now use exact strings from specified sets. - Clarified field type rules and examples for structured query parameters. - Adjusted sample values in field examples to reflect updated allowed terms. - Changed API response documentation: `page_size` renamed to `total_count`. - No code changes; documentation only.",
"href": "https://clawhub.ai/bombert/clinical-trial",
"sourceUrl": "https://clawhub.ai/bombert/clinical-trial",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-04-19T15:12:15.551Z",
"isPublic": true
}
]
}Record generated Oct 10, 2026.
