What makes Pharma Intelligence notable?

1.2K downloads. Trust evidence available

How should Pharma Intelligence be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Pharma Intelligence

In-depth, multi-region pharmaceutical intelligence search and synthesis, plus drug repurposing, target discovery, clinical evidence review, and bioactivity analysis. Use this skill whenever the user asks about drug approvals, clinical trials, regulatory submissions, pipeline assets, patent landscape

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.2k

Updated

Oct 10, 2026

Version

1.0.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.2K 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: 1.2K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.3release · observed Jul 6, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s170qp1q4twz35wa85ppa8894h83w461:pharma-intelligence

Install using `clawhub skill install s170qp1q4twz35wa85ppa8894h83w461:pharma-intelligence` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/sciminer/pharma-intelligence before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-sciminer-pharma-intelligence/snapshot"

Documentation

CLAWHUB

150,405 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: pharma-intelligence
description:
In-depth, multi-region pharmaceutical intelligence search and synthesis,
plus drug repurposing, target discovery, clinical evidence review, and
bioactivity analysis. Use this skill whenever the user asks about drug
approvals, clinical trials, regulatory submissions, pipeline assets, patent
landscapes, competitive intelligence, scientific evidence, disease targets,
genetic associations, or compound bioactivity for any drug, target,
indication, or company — especially when coverage of China, US, Europe,
Japan, South Korea, or Australia is needed. Trigger even for casual queries
like "what's the approval status of X in China", "find trials for Y in
Japan", "compare pipeline coverage across regions", "find drugs for disease
Z", or "what targets are associated with condition W". Always consult this
skill before answering any pharma or biomedical research question that
requires source-grounded data.
---

# Global Pharma Intelligence & Biomedical Research Skill

Systematic, source-prioritized search and synthesis across regulatory, clinical,
academic, and commercial databases — covering all major pharmaceutical markets
and 20+ biomedical research databases.

## Sub-Skills — How to Invoke

This skill delegates all database work to the sub-skills bundled locally under `skills/`.
Read the relevant sub-skill's `SKILL.md` before invoking it, then run its bundled script.

See [references/sub-skills.md](./references/sub-skills.md) for the full mapping of research
tasks to sub-skills and execution patterns.

---

## Core Principle: Tiered Source Priority

Every region follows a 3-tier hierarchy. Higher tiers override lower-tier claims; always cite the tier.

| Tier | Type | Description |
|------|------|-------------|
| **Tier 1** | Regulatory | Official agency submissions, approvals, labels |
| **Tier 2** | Trial registries | Prospective/registered clinical evidence |
| **Tier 3** | Academic / IP | Published papers, conferences, patents |

For the per-region source map (CN / US / EU / JP / KR / AU + global) with URLs and access notes, see [references/sources-by-region.md](./references/sources-by-region.md).

---

## Tool Access Notes

`web_fetch` is the default tool for any URL in this skill that isn't covered by a bundled sub-skill. Some sites are JavaScript-rendered or block plain HTTP fetches — Google Patents is the most common offender, and CTIS, jRCT, and ANZCTR occasionally behave the same way — but this can happen on **any** site, not just those.

**Rule:** try `web_fetch` first. If it returns empty, blocked, or placeholder content, retry the exact same URL with `browser_navigate` before concluding that a source has no data. Every other section in this skill that mentions `web_fetch` defers to this rule rather than restating it.

---

## Search Workflow

### Step 1 — Classify the Query (pick ONE intent)

| # | Intent | Trigger

skills/biorxiv-skill/SKILL.md

---
name: biorxiv-skill
description: Submit compact bioRxiv and medRxiv API requests for details, publication-linkage, and DOI lookups. Use when a user wants concise preprint metadata summaries
---

## Operating rules
- Use `scripts/rest_request.py` for all bioRxiv and medRxiv API calls.
- Use `base_url=https://api.biorxiv.org`.
- The script accepts `max_items`; for `details` and `pubs` pages, start around `max_items=10`.
- Prefer one cursor page at a time instead of increasing page size or pasting long collections into chat.
- Re-run requests in long conversations instead of relying on older tool output.
- Treat displayed `...` in tool previews as UI truncation, not part of the true request.

## Execution behavior
- Return concise markdown summaries from the script JSON by default.
- Return the raw script JSON only if the user explicitly asks for machine-readable output.
- Prefer these paths: `details/<server>/<start>/<end>/<cursor>/json`, `details/<server>/<doi>/na/json`, `pubs/<server>/<start>/<end>/<cursor>`, and `pubs/<server>/<doi>/na/json`.
- If the user needs full page contents, set `save_raw=true` and report the saved file path rather than pasting large collections into chat.

## Input
- Read one JSON object from stdin.
- Required fields: `base_url`, `path`
- Optional fields: `method`, `params`, `headers`, `json_body`, `form_body`, `record_path`, `response_format`, `max_items`, `max_depth`, `timeout_sec`, `save_raw`, `raw_output_path`
- Common biorxiv patterns:
  - `{"base_url":"https://api.biorxiv.org","path":"details/biorxiv/2025-03-21/2025-03-28/0/json","record_path":"collection","max_items":10}`
  - `{"base_url":"https://api.biorxiv.org","path":"details/medrxiv/10.1101/2020.09.09.20191205/na/json","record_path":"collection","max_items":10}`
  - `{"base_url":"https://api.biorxiv.org","path":"pubs/medrxiv/2020-03-01/2020-03-30/0","record_path":"collection","max_items":10}`

## Output
- Success returns `ok`, `source`, `path`, `method`, `status_code`, `warnings`, and either compact `records` or a compact `summary`.
- Use `raw_output_path` when `save_raw=true`.
- Failure returns `ok=false` with `error.code` and `error.message`.

## Execution
```bash
echo '{"base_url":"https://api.biorxiv.org","path":"details/biorxiv/2025-03-21/2025-03-28/0/json","record_path":"collection","max_items":10}' | python scripts/rest_request.py
```

## References
- No additional runtime references are required; keep the import package limited to this file and `scripts/rest_request.py`.

skills/chebi-skill/SKILL.md

---
name: chebi-skill
description: Submit compact ChEBI 2.0 API requests for chemical search, compound lookup, ontology traversal, and structure metadata. Use when a user wants concise ChEBI summaries
---

## Operating rules
- Use `scripts/rest_request.py` for all ChEBI calls.
- Use `base_url=https://www.ebi.ac.uk`.
- Prefer the documented public routes under `chebi/backend/api/public/`.
- Start with `es_search/` for free-text lookup and use `compound/<CHEBI:id>/` for targeted records.
- Re-run requests in long conversations instead of relying on older tool output.

## Execution behavior
- Return concise markdown summaries from the script JSON by default.
- Return raw JSON only if the user explicitly asks for machine-readable output.
- Prefer these paths: `chebi/backend/api/public/es_search/`, `chebi/backend/api/public/compound/<CHEBI:id>/`, and ontology child or parent routes.

## Input
- Read one JSON object from stdin.
- Required fields: `base_url`, `path`
- Optional fields: `method`, `params`, `headers`, `json_body`, `form_body`, `record_path`, `response_format`, `max_items`, `max_depth`, `timeout_sec`, `save_raw`, `raw_output_path`
- Common ChEBI patterns:
  - `{"base_url":"https://www.ebi.ac.uk","path":"chebi/backend/api/public/es_search/","params":{"query":"caffeine","size":10},"record_path":"results","max_items":10}`
  - `{"base_url":"https://www.ebi.ac.uk","path":"chebi/backend/api/public/compound/CHEBI:27732/"}`
  - `{"base_url":"https://www.ebi.ac.uk","path":"chebi/backend/api/public/ontology/children/CHEBI:27732/"}`

## Output
- Success returns `ok`, `source`, `path`, `method`, `status_code`, `warnings`, and either compact `records` or a compact `summary`.
- Use `raw_output_path` when `save_raw=true`.
- Failure returns `ok=false` with `error.code` and `error.message`.

## Execution
```bash
echo '{"base_url":"https://www.ebi.ac.uk","path":"chebi/backend/api/public/es_search/","params":{"query":"caffeine","size":10},"record_path":"results","max_items":10}' | python scripts/rest_request.py
```

## References
- No additional runtime references are required; keep the import package limited to this file and `scripts/rest_request.py`.

skills/chembl-skill/SKILL.md

---
name: chembl-skill
description: Submit compact ChEMBL API requests for activity, molecule, target, mechanism, and text-search endpoints. Use when a user wants concise ChEMBL summaries
---

## Operating rules
- Use `scripts/rest_request.py` for all ChEMBL API calls.
- Use `base_url=https://www.ebi.ac.uk/chembl/api/data`.
- The script accepts `max_items`; for activity, mechanism, and text-search collections, start with API `limit=10` and `max_items=10`.
- Single molecule or target lookups usually do not need `max_items`.
- Re-run requests in long conversations instead of relying on older tool output.
- Treat displayed `...` in tool previews as UI truncation, not literal request content.

## Execution behavior
- Return concise markdown summaries from the script JSON by default.
- Return the script JSON verbatim only if the user explicitly asks for machine-readable output.
- Prefer these paths: `activity.json`, `molecule/<id>.json`, `target/<id>.json`, `mechanism.json`, and `molecule/search.json`.
- Use `record_path` to target list fields like `activities`, `mechanisms`, or `molecules`.

## Input
- Read one JSON object from stdin.
- Required fields: `base_url`, `path`
- Optional fields: `method`, `params`, `headers`, `json_body`, `form_body`, `record_path`, `response_format`, `max_items`, `max_depth`, `timeout_sec`, `save_raw`, `raw_output_path`
- Common ChEMBL patterns:
  - `{"base_url":"https://www.ebi.ac.uk/chembl/api/data","path":"activity.json","params":{"molecule_chembl_id":"CHEMBL25","limit":10},"record_path":"activities","max_items":10}`
  - `{"base_url":"https://www.ebi.ac.uk/chembl/api/data","path":"molecule/CHEMBL25.json"}`
  - `{"base_url":"https://www.ebi.ac.uk/chembl/api/data","path":"molecule/search.json","params":{"q":"imatinib","limit":10},"record_path":"molecules","max_items":10}`

## Output
- Success returns `ok`, `source`, `path`, `method`, `status_code`, `warnings`, and either compact `records` or a compact `summary`.
- Use `raw_output_path` when `save_raw=true`.
- Failure returns `ok=false` with `error.code` and `error.message`.

## Execution
```bash
echo '{"base_url":"https://www.ebi.ac.uk/chembl/api/data","path":"activity.json","params":{"molecule_chembl_id":"CHEMBL25","limit":10},"record_path":"activities","max_items":10}' | python scripts/rest_request.py
```

## References
- No additional runtime references are required; keep the import package limited to this file and `scripts/rest_request.py`.

skills/clinicaltrials-skill/SKILL.md

---
name: clinicaltrials-skill
description: Submit compact ClinicalTrials.gov API v2 requests for study search, metadata, enums, search areas, and field statistics. Use when a user wants concise ClinicalTrials.gov summaries
---

## Operating rules
- Use `scripts/clinicaltrials_client.py` for all ClinicalTrials.gov v2 calls.
- Study searches are better with `max_items=10` and `max_pages=1`; only increase pages when the user explicitly wants more than the first page.
- Use targeted `params` instead of broad unfiltered study dumps.
- Re-run requests in long conversations instead of relying on older tool output.
- Treat displayed `...` in tool previews as UI truncation, not literal request content.

## Execution behavior
- Return concise markdown summaries from the script JSON by default.
- Prefer `action=studies` for search and `action=metadata|search_areas|enums|stats_size|field_values|field_sizes` for API introspection and field stats.
- If the user needs full pages or aggregated responses, set `save_raw=true` and report the saved file path.

## Input
- Read one JSON object from stdin.
- Required field: `action`
- Supported actions: `studies`, `metadata`, `search_areas`, `enums`, `stats_size`, `field_values`, `field_sizes`, `request`
- Optional fields: `path` for `action=request`, `params`, `max_items`, `max_depth`, `max_pages`, `timeout_sec`, `save_raw`, `raw_output_path`
- Common ClinicalTrials.gov patterns:
  - `{"action":"studies","params":{"query.cond":"prostate cancer","filter.overallStatus":"RECRUITING","pageSize":10},"max_items":10,"max_pages":1}`
  - `{"action":"metadata"}`
  - `{"action":"field_values","params":{"field":"protocolSection.identificationModule.organization.fullName"}}`

## Output
- `action=studies` returns `pages_fetched`, `next_page_token`, count metadata, and compact `records`.
- Other actions return either compact `records` or a compact `summary`.
- Use `raw_output_path` when `save_raw=true`.
- Failure returns `ok=false` with `error.code` and `error.message`.

## Execution
```bash
echo '{"action":"studies","params":{"query.cond":"prostate cancer","filter.overallStatus":"RECRUITING","pageSize":10},"max_items":10,"max_pages":1}' | python scripts/clinicaltrials_client.py
```

## References
- No additional runtime references are required; keep the import package limited to this file and `scripts/clinicaltrials_client.py`.

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