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 skills add wentorai/research-plugins --skill bioagents-guidegit clone --depth 1 https://github.com/wentorai/research-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wentorai/research-plugins/bioagents-guide)<a href="https://agentmods.dev/skills/wentorai/research-plugins/bioagents-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/bioagents-guide/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wentorai/research-plugins/bioagents-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/bioagents-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00012 | $0.02746 |
| Opus 5 | $0.00006 | $0.01373 |
| Sonnet 5 | $0.00002 | $0.00549 |
| Haiku 4.5 | $0.00001 | $0.00275 |
Grade A, and why
bioagents-guide 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BioAgents Guide
Overview
BioAgents -- AI agent systems for biological research -- represent a paradigm shift in how life science experiments are conceived, designed, executed, and analyzed. Building on the foundation of large language models, these systems integrate literature search, hypothesis generation, experimental design, data analysis, and manuscript drafting into semi-autonomous or fully autonomous research pipelines.
The AI Scientist framework (Sakana AI, 2024) demonstrated that language models can conduct end-to-end research: generating ideas, writing code, running experiments, and producing papers. In biology, this approach is being applied to drug discovery, protein engineering, genomics analysis, and systems biology -- domains where the combinatorial complexity of experimental space makes AI-assisted exploration particularly valuable.
This guide covers the architecture of bioagent systems, the biological research tasks they can automate, integration with wet-lab automation, and the methodological considerations for researchers building or evaluating these systems. The focus is on practical patterns that connect AI capabilities to real biological research problems.
BioAgent Architecture
System Components
BioAgent System Architecture:
┌─────────────────────────────────────────────────┐
│ ORCHESTRATOR │
│ (LLM-based planning and reasoning agent) │
├──────────┬──────────┬──────────┬────────────────┤
│ LITERATURE│ HYPOTHESIS│ EXPERIMENT│ ANALYSIS │
│ MODULE │ MODULE │ MODULE │ MODULE │
├──────────┼──────────┼──────────┼────────────────┤
│ PubMed │ Causal │ Protocol │ Statistical │
│ Semantic │ inference│ generator│ analysis │
│ Scholar │ Graph │ Robot │ Visualization │
│ BioRxiv │ reasoning│ interface│ Interpretation │
│ Patents │ Novelty │ LIMS │ Manuscript │
│ │ scoring │ integration│ drafting │
└──────────┴──────────┴──────────┴────────────────┘
│ │ │
┌────┴────┐ ┌────┴────┐ ┌────┴────┐
│ Knowledge│ │ Wet Lab │ │ Compute │
│ Bases │ │ Equipment│ │ Cluster │
└─────────┘ └─────────┘ └─────────┘
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.
- 6d ago First seen · 309 lines · 12 tokens per session scan A fe25f2d351ae
bioagents-guide is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 2,746 once invoked, about $0.0001 per session on Opus 5. 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 2026-09-03.
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