How do I install the Pharmaclaw Ip Expansion Agent skill?

Run npx skillmds@latest add dvcrn/pharmaclaw-ip-expansion-agent in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Pharmaclaw Ip Expansion Agent safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Pharmaclaw Ip Expansion Agent?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Pharmaclaw Ip Expansion Agent free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Pharmaclaw Ip Expansion Agent?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Pharmaclaw Ip Expansion Agent by dvcrn

Name: Pharmaclaw Ip Expansion Agent
Rating: 4.2 (5 reviews)
Author: dvcrn

Pharmaclaw Ip Expansion Agent

Intellectual Property Expansion Agent for pharma drug discovery/development teams. Proactively manages/expands IP portfolios by analyzing SMILES/molecules from other agents (Drug Discovery/Synthesis), performing infringement/FTO analyses via RDKit similarity & patent APIs, mining prior art for novelty suggestions (bioisosteres/derivatives), and recommending strategic claims. Triggers on: IP/patent/FTO/infringement/novelty/prior art queries for molecules/SMILES/therapeutics; portfolio tracking; chaining with chemistry-query/Tox/Safety agents. Use for patentable derivative ideas, risk matrices, white space identification, expiration monitoring.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Pharma IP Expansion Agent

Specialized agent extending pharma team agents (Drug Discovery, Synthesis via chemistry-query, Patent/Literature/Tox/Safety). Analyzes inputs (SMILES, keywords, profiles) for actionable IP insights: portfolio mgmt, infringement/FTO, prior art novelty, strategic expansion. Outputs JSON/MD reports + RDKit viz (PNG/SVG).

Core Capabilities

Follow workflow: Parse input → Analyze → Generate report → Log to portfolio DB.

Portfolio Management: Track assets (patents/apps), monitor expirations. Use scripts/agent.py track.
Infringement Analysis: RDKit Morgan FP Tanimoto (>0.8 flag risk) vs patent compounds.
FTO Assessments: USPTO/PubChem searches for blocking patents in area.
Prior Art Mining/Novelty: NLP extract claims/chemicals → suggest RDKit bioisosteres evading art.
Strategic Expansion: Recommend continuations/repurposing based on trends.

Quick Start

Exec main agent:

python3 scripts/agent.py --mode analysis --input '{"smiles": ["CCO"], "from_agent": "synthesis", "therapeutic": "pain"}'

Output: JSON report w/ risks, suggestions, viz saved to assets/.

For multi-agent chaining (OpenClaw): Spawn sub-session w/ this skill active, pass JSON from chemistry-query.

Workflow Decision Tree

Input JSON/SMILES? → RDKit parse → Fingerprint → Compare patents (scripts/rdkit_utils.py)
Portfolio query? → SQLite query (self.db)
FTO/Prior art? → API fetch → NLP parse (references/nlp_patterns.md) → Similarity
Strategic? → Market trends via PubChem stats + derivatives
Edge: Intl/PCT/AI-inv? → Note variations, flag enablement risks.

Always output structured JSON: {"risks": [...], "suggestions": [...], "viz_path": "report.png", "recommendations": {...}} + MD report.

Multi-Agent Integration (OpenClaw)

Input from Synthesis/chemistry-query: {"smiles": [...], "reactions": [...]} → Auto infringement check.
Chain w/ Tox/Safety: Incorporate ADMET/safety to prioritize claims.
Spawn: sessions_spawn task="IP expand this SMILES from synth: ..."
Autonomous: Cron portfolio checks.

Resources

scripts/

agent.py: Main class IPExpansionAgent w/ all methods. Exec directly or import.
rdkit_utils.py: FP/similarity/bioisosteres.
patent_fetch.py: USPTO/PubChem APIs.
nlp_extract.py: Claims/chem names (spaCy).

Test: python3 scripts/agent.py --help

references/

apis.md: USPTO/EPO/PubChem endpoints.
rdkit_guide.md: FP radii, Tanimoto thresholds.
ip_strategies.md: Claims types, FTO best practices.
pharma_trends.md: AI-IP, PCT notes.

Load via read references/apis.md for API details.

assets/

report_template.md: MD report format.
portfolio_schema.sql: DB init.
risk_matrix_template.svg: Editable viz.

Copy to outputs.

Implementation Notes

DB: SQLite ip_portfolio.db (assets/portfolio_schema.sql).
Thresholds: Tanimoto>0.85 high risk; configurable.
Viz: RDKit PNG/SVG to current dir.
Deps: pip install rdkit-pypi requests pandas sqlite3 spacy scispacy (assume chemistry env).
Logging: To logs/ip_expansion.log.
OpenClaw: Use exec on scripts/ for analysis; write reports.

For updates, edit class methods.

---name: pharmaclaw-ip-expansion-agentdescription: Intellectual Property Expansion Agent for pharma drug discovery/development teams. Proactively manages/expands IP portfolios by analyzing SMILES/molecules from other agents (Drug Discovery/Synthesis), performing infringement/FTO analyses via RDKit similarity & patent APIs, mining prior art for novelty suggestions (bioisosteres/derivatives), and recommending strategic claims. Triggers on: IP/patent/FTO/infringement/novelty/prior art queries for molecules/SMILES/therapeutics; portfolio tracking; chaining with chemistry-query/Tox/Safety agents. Use for patentable derivative ideas, risk matrices, white space identification, expiration monitoring.---# Pharma IP Expansion AgentSpecialized agent extending pharma team agents (Drug Discovery, Synthesis via chemistry-query, Patent/Literature/Tox/Safety).Analyzes inputs (SMILES, keywords, profiles) for actionable IP insights: portfolio mgmt, infringement/FTO, prior art novelty,strategic expansion. Outputs JSON/MD reports + RDKit viz (PNG/SVG).## Core CapabilitiesFollow workflow: Parse input → Analyze → Generate report → Log to portfolio DB.1. **Portfolio Management**: Track assets (patents/apps), monitor expirations. Use `scripts/agent.py track`.2. **Infringement Analysis**: RDKit Morgan FP Tanimoto (>0.8 flag risk) vs patent compounds.3. **FTO Assessments**: USPTO/PubChem searches for blocking patents in area.4. **Prior Art Mining/Novelty**: NLP extract claims/chemicals → suggest RDKit bioisosteres evading art.5. **Strategic Expansion**: Recommend continuations/repurposing based on trends.## Quick StartExec main agent:```python3 scripts/agent.py --mode analysis --input '{"smiles": ["CCO"], "from_agent": "synthesis", "therapeutic": "pain"}'```Output: JSON report w/ risks, suggestions, viz saved to assets/.For multi-agent chaining (OpenClaw): Spawn sub-session w/ this skill active, pass JSON from chemistry-query.## Workflow Decision Tree- **Input JSON/SMILES?** → RDKit parse → Fingerprint → Compare patents (scripts/rdkit_utils.py)- **Portfolio query?** → SQLite query (self.db)- **FTO/Prior art?** → API fetch → NLP parse (references/nlp_patterns.md) → Similarity- **Strategic?** → Market trends via PubChem stats + derivatives- **Edge: Intl/PCT/AI-inv?** → Note variations, flag enablement risks.Always output structured JSON: `{"risks": [...], "suggestions": [...], "viz_path": "report.png", "recommendations": {...}}` + MD report.## Multi-Agent Integration (OpenClaw)- Input from Synthesis/chemistry-query: `{"smiles": [...], "reactions": [...]}` → Auto infringement check.- Chain w/ Tox/Safety: Incorporate ADMET/safety to prioritize claims.- Spawn: `sessions_spawn task="IP expand this SMILES from synth: ..."`- Autonomous: Cron portfolio checks.## Resources### scripts/- `agent.py`: Main class IPExpansionAgent w/ all methods. Exec directly or import.- `rdkit_utils.py`: FP/similarity/bioisosteres.- `patent_fetch.py`: USPTO/PubChem APIs.- `nlp_extract.py`: Claims/chem names (spaCy).Test: `python3 scripts/agent.py --help`### references/- `apis.md`: USPTO/EPO/PubChem endpoints.- `rdkit_guide.md`: FP radii, Tanimoto thresholds.- `ip_strategies.md`: Claims types, FTO best practices.- `pharma_trends.md`: AI-IP, PCT notes.Load via `read references/apis.md` for API details.### assets/- `report_template.md`: MD report format.- `portfolio_schema.sql`: DB init.- `risk_matrix_template.svg`: Editable viz.Copy to outputs.## Implementation Notes- DB: SQLite `ip_portfolio.db` (assets/portfolio_schema.sql).- Thresholds: Tanimoto>0.85 high risk; configurable.- Viz: RDKit PNG/SVG to current dir.- Deps: `pip install rdkit-pypi requests pandas sqlite3 spacy scispacy` (assume chemistry env).- Logging: To `logs/ip_expansion.log`.- OpenClaw: Use `exec` on scripts/ for analysis; `write` reports.For updates, edit class methods.

Frequently asked questions