Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/virtualpatientengine/aiagents4pharma/introgit clone --depth 1 https://github.com/VirtualPatientEngine/AIAgents4PharmaWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.00239 |
| Opus 5 | $0.00000 | $0.00120 |
| Sonnet 5 | $0.00000 | $0.00048 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
intro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Talk2BioModels
Talk2BioModels is an AI-agent designed to interact with mathematical models in systems biology. You can choose to either interact with a model available in the BioModels database or upload your own model.
Why Talk2BioModels?
Biological models are critical for understanding complex biological mechanisms, yet they often remain inaccessible to those without a programming or mathematical background. Talk2BioModels bridges this gap by offering:
- Natural Language Interaction: Simulate or ask questions to mathematical models directly.
- Streamlined Simulations: Forward simulation of both internal and open-source models (e.g., BioModels database).
- Dynamic Adjustments: Modify model parameters to simulate diverse conditions.
- Powerful Queries: Effortlessly retrieve and analyze simulation results.
How to access Talk2BioModels?
There are 2 ways to access Talk2BioModels:
- Set up the Streamlit app: Follow the instructions on the home page to set up an launch the Streamlit app.
- Use the PyPI package: Follow the tutorial for step-by-step guidance on how to use the PyPI package.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 22 lines · 0 tokens per session scan A b8aed5bf8170
intro is an agent published in the GitHub repository VirtualPatientEngine/AIAgents4Pharma (98 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 239 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
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enhanced_agents_guide_2025
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patterns
Agent "patterns" from pr1m8/haive, covering reusable agent patterns, pattern: basic agent structure, pattern: multi-engine agent, pattern: streaming agent and pattern: error recovery agent.
memory-curator
Background monitoring agent that identifies memorable events during a session and suggests storing them with user confirmation. Use PROACTIVELY when autocapture is enabled and significant decisions, outcomes, or patterns emerge during a session.
FREE_MCP_SERVERS
A catalog of real, public MCP servers you can plug straight into the Swarms Agent class — most require no authentication, a few use a free-tier API key. Runnable examples live in this folder.