pharmaclaw-ip-expansion-agentIntellectual Property Expansion Agent for pharma drug discovery/development teams. Proactively manages/expands IP portfolios by analyzing SMILES/molecules fr...
Install via ClawdBot CLI:
clawdbot install Cheminem/pharmaclaw-ip-expansion-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.patentsview.org/patents/queryCalls external URL not in known-safe list
https://api.patentsview.org/patents/queryUses known external API (expected, informational)
amazonaws.comAI Analysis
The skill's external API call to patentsview.org is consistent with its stated purpose of patent/FTO analysis and is a known public patent data API. There is no evidence of credential harvesting, hidden instructions, or obfuscation. The primary risk is the standard, low-level data transmission to a third-party service for functional purposes.
Generated Mar 21, 2026
A drug discovery team has synthesized a new compound and wants to evaluate its patentability. The agent analyzes the SMILES string, performs prior art searches via patent APIs, and suggests bioisosteric modifications to enhance novelty and avoid infringement risks, outputting a risk matrix and derivative ideas.
A pharmaceutical company plans to develop a drug for a specific indication like pain management. The agent conducts FTO assessments by searching USPTO and PubChem for blocking patents, identifies high-risk compounds via RDKit similarity, and recommends strategic claims to navigate IP barriers.
An IP manager needs to track an existing patent portfolio, monitor upcoming expirations, and identify white spaces for expansion. The agent queries a SQLite database, analyzes trends, and generates reports with recommendations for continuations or repurposing based on market data.
In an OpenClaw environment, the agent receives input from a synthesis agent with SMILES and reaction data. It automatically performs infringement checks, chains with Tox/Safety agents to incorporate ADMET data, and outputs prioritized claims and visualizations for collaborative decision-making.
Offer the agent as a cloud-based service where pharmaceutical companies pay a monthly or annual fee per user. It provides automated IP analysis, portfolio tracking, and report generation, reducing manual labor and speeding up drug development cycles.
Provide tailored implementation and consulting services to integrate the agent into existing pharma workflows. This includes customizing thresholds, training teams, and setting up multi-agent systems, with revenue from one-time projects and ongoing support contracts.
License the agent's technology to larger AI-driven drug discovery platforms as an add-on module. This enables seamless integration for users needing IP expansion capabilities, generating revenue through licensing fees and revenue-sharing agreements.
💬 Integration Tip
Ensure the chemistry environment has all dependencies installed, such as RDKit and spaCy, and use the provided scripts for direct execution or import into existing Python workflows for seamless analysis.
Scored Apr 19, 2026
Audited Apr 17, 2026 · audit v1.0
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.