An expert AI skill for performing target-level competitive intelligence, clinical trial audits, and strategic drug development validation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lifescience-target-intelligence-internal
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lifescience-target-intelligence-internal using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Target Intelligence for Life Sciences?
The Target Intelligence skill is a sophisticated analysis tool designed for life sciences professionals to evaluate the competitive landscape of biological targets such as receptors, kinases, and enzymes. It operates as a high-tier intelligence agent within the Openclaw Skills framework, synthesizing primary commercial data with curated scientific research to provide a holistic view of drug development opportunities.
By leveraging dual-tier data collection, the skill allows users to assess market saturation, clinical progress, and patent trends. It goes beyond simple data retrieval by offering quantitative Target Validation Scores and forensic audits of failed clinical trials, enabling R&D and Business Development teams to make informed GO/NO-GO decisions based on technical and commercial reality.
Target Intelligence for Life Sciences Use Cases
- Mapping the competitive landscape for specific biological targets like EGFR, KRAS, or PD-L1.
- Evaluating clinical trial progress and benchmarking efficacy data across a target class.
- Conducting first-in-class vs best-in-class comparisons for emerging therapeutic interventions.
- Identifying strategic white space in crowded therapeutic areas through patent landscape analysis.
- Performing technical due diligence for BD transactions and licensing opportunities.
How Target Intelligence for Life Sciences Works
- Target Identification: The agent confirms the target identity, biology, and pathway context using specialized fetch tools.
- Primary Data Gathering: It searches primary databases for drugs, clinical trials, and patent filings associated with the target.
- Scientific Supplementation: The skill queries curated scientific sources like UniProt, STRING, and OpenTargets for protein-protein interactions and disease associations.
- Analysis & Scoring: It applies a multi-dimensional analysis framework to calculate a Target Validation Score (0–100) and performs forensic audits on any failed trials.
- Structured Reporting: The results are compiled into a multi-layered report featuring pipeline maps, strategic recommendations, and visual data artifacts.
Target Intelligence for Life Sciences Setup
This is an internal skill typically invoked by a meta-router within the Openclaw Skills architecture. To install it manually for development or integration, use the following command:
openclaw install lifescience-target-intelligence-internal
Ensure that your environment variables for Patsnap and other scientific API keys (like BioGRID or ChEMBL) are correctly configured in your secure vault.
Target Intelligence for Life Sciences Data Schema & Taxonomy
The skill organizes intelligence into two distinct data tiers to ensure clarity and source integrity:
| Tier | Source Type | Data Included |
|---|---|---|
| Tier P | Primary (Patsnap MCP) | Clinical trials, patents, drugs, deals, and news readouts. |
| Tier S | Curated Scientific | Protein function, bioactivity, gene-disease validity, and structural data. |
Analytical data is structured into specialized tables including:
- Target Validation Score Table: Weight-based scoring across 9 dimensions (e.g., Safety, Druggability).
- Forensic Audit Table: Categorization of trial failures by Target Engagement, Exposure, Stratification, or Endpoint.
- Competitive Landscape Table: Organized by development stage (Approved to Phase 1).
Target Intelligence for Life Sciences Advanced Features
- Multi-Dimensional Target Validation: Automated scoring system with weighted guidance for strategic decision-making.
- Failed Trial Forensic Audit: A specialized four-dimensional logic to identify why previous clinical efforts in a target space failed.
- Hybrid Search Integration: Combines semantic and keyword strategies to find seminal literature and novel patent technologies.
- Modality-Specific Analysis: Tailored data extraction for antibodies, ADCs, and small molecules using dedicated search filters.
- Visual Artifact Generation: Automatic creation of SVG timelines, score gauges, and pipeline card grids for professional presentations.
SKILL.md
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