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cheminem

Pharmaclaw Ip Expansion Agent

by Cheminem · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
276
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Install in OpenClaw
/install pharmaclaw-ip-expansion-agent
Description
Intellectual Property Expansion Agent for pharma drug discovery/development teams. Proactively manages/expands IP portfolios by analyzing SMILES/molecules fr...
Usage Guidance
This skill appears to do what it claims: chemistry fingerprinting, patent/compound API queries, NLP-based extraction, and local portfolio tracking. Before installing or running it: 1) Review agent.py fully (you have it) and confirm the network endpoints it calls (USPTO/ PubChem) are acceptable for your environment. 2) Run it in an isolated environment (container/VM) because it will install heavy Python packages and download language/chemistry models (scispacy), and it writes a local SQLite DB and log files. 3) Note that some files referenced in SKILL.md are missing — verify you have any additional scripts or models the maintainer expects. 4) Don’t pass sensitive or production-only secrets/SMILES into the agent without reviewing how/where results are stored or transmitted. 5) If you need the NLP linking features, confirm whether UMLS credentials or additional model downloads are required. If any of the above are unexpected or you need higher assurance, ask the publisher for missing files and a reproducible install spec before use.
Capability Analysis
Type: OpenClaw Skill Name: pharmaclaw-ip-expansion-agent Version: 1.0.0 The pharmaclaw-ip-expansion-agent is a specialized tool for pharmaceutical intellectual property analysis, including patent tracking, infringement risk assessment, and novelty suggestions. It utilizes standard industry libraries such as RDKit for cheminformatics and spaCy/scispacy for biomedical NLP. The agent interacts with legitimate external APIs (USPTO PatentsView and PubChem) and maintains a local SQLite database for portfolio management, with all code logic and instructions in SKILL.md aligning strictly with its stated purpose.
Capability Assessment
Purpose & Capability
Name/description align with the code: RDKit fingerprinting, USPTO/ PubChem queries, portfolio tracking in SQLite, report generation and visualizations are all present. Some referenced components in the SKILL.md (patent_fetch.py, nlp_extract.py, references/nlp_patterns.md) are mentioned but not present in the bundle; agent.py implements API calls itself, but the missing files are a discrepancy to verify.
Instruction Scope
SKILL.md instructs the agent to parse SMILES, run infringement/ FTO/novelty analyses, write reports, and log to a local DB/log file. The runtime instructions do cause network calls to public patent/compound APIs and write files (ip_portfolio.db, logs/ip_expansion.log, PNG/MD reports) in the current directory. The skill does not instruct reading unrelated system files or exporting arbitrary system state.
Install Mechanism
There is no formal install spec (instruction-only), so nothing is auto-downloaded by the registry. However SKILL.md and the code assume heavy Python deps (rdkit-pypi, scispacy, spacy, pandas, requests) and the agent prints guidance to fetch a scispacy model from an S3 URL. If you install dependencies manually, be aware that large models (and an S3-hosted model) may be downloaded.
Credentials
The skill requests no environment variables or credentials in metadata, and uses public APIs (USPTO PatentsView and PubChem) that generally require no secret. A few references (EPO OPS) note keys in docs but are not used in code. The code uses scispacy UmlsEntityLinker which in some deployments requires access to external UMLS resources or model files — the skill does not declare any UMLS credentials, so verify whether additional credentials are needed for full NLP linking.
Persistence & Privilege
always is false and the skill does not request elevated/always-on privileges. It writes its own DB/logs/reports under the working directory but does not attempt to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pharmaclaw-ip-expansion-agent
  3. After installation, invoke the skill by name or use /pharmaclaw-ip-expansion-agent
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the pharmaclaw-ip-expansion-agent for pharma IP portfolio expansion and management. - Automates infringement, FTO (Freedom-to-Operate), and novelty analyses using RDKit and patent APIs. - Suggests patentable derivatives, bioisosteres, and strategic claims based on prior art and market trends. - Integrates with multi-agent workflows (e.g., Drug Discovery, Synthesis) and outputs structured JSON/Markdown reports with RDKit visualizations. - Tracks patent assets, monitors expirations, and offers white space and risk identification. - Provides portfolio and analysis tools via command-line and supports chaining with other pharma agent skills.
Metadata
Slug pharmaclaw-ip-expansion-agent
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Pharmaclaw Ip Expansion Agent?

Intellectual Property Expansion Agent for pharma drug discovery/development teams. Proactively manages/expands IP portfolios by analyzing SMILES/molecules fr... It is an AI Agent Skill for Claude Code / OpenClaw, with 276 downloads so far.

How do I install Pharmaclaw Ip Expansion Agent?

Run "/install pharmaclaw-ip-expansion-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Pharmaclaw Ip Expansion Agent free?

Yes, Pharmaclaw Ip Expansion Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Pharmaclaw Ip Expansion Agent support?

Pharmaclaw Ip Expansion Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Pharmaclaw Ip Expansion Agent?

It is built and maintained by Cheminem (@cheminem); the current version is v1.0.0.

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