OpenBioMed is an agent platform and toolkit collection for biomedical research and drug discovery, covering areas such as molecular design, protein analysis, and single-cell data analysis. It is intended for researchers and provides the biomedical skills listed in the catalogue as workflows for Claude Code.
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 PharMolix/OpenBioMed --skill target-drug-reportgit clone --depth 1 https://github.com/PharMolix/OpenBioMedWrote 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/pharmolix/openbiomed/target-drug-report)<a href="https://agentmods.dev/skills/pharmolix/openbiomed/target-drug-report"><img src="https://agentmods.dev/badge/skills/pharmolix/openbiomed/target-drug-report/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/pharmolix/openbiomed/target-drug-report"><img src="https://agentmods.dev/badge/skills/pharmolix/openbiomed/target-drug-report.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 | $0.00073 | $0.00763 |
| Opus 5 | $0.00036 | $0.00381 |
| Sonnet 5 | $0.00015 | $0.00153 |
| Haiku 4.5 | $0.00007 | $0.00076 |
Grade A, and why
target-drug-report 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 12d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Target Drug Development Report (Enhanced)
Overview
Generate beautiful, comprehensive reports on drug development progress for therapeutic targets.
Features:
- 7 analysis sections with visualizations
- HTML and Markdown output formats
- Responsive design for all devices
- Print-friendly for PDF export
When to Use
- User asks about a specific target's drug development status
- Need to summarize clinical trial progress for a target
- Researching competitive landscape for a therapeutic target
- Understanding drug pipeline and market opportunities
Workflow
from open_biomed.tools.tool_registry import TOOLS
target_name = "CGRP"
# Step 1: Multi-source search
web_search = TOOLS["web_search"]
# Search clinical trials
trial_results, _ = web_search.run(
query=f"{target_name} clinical trial 2024 2025"
)
# Search research papers
paper_results, _ = web_search.run(
query=f"{target_name} discovery mechanism site:pubmed.ncbi.nlm.nih.gov"
)
# Step 2: Generate report
report = generate_target_report(
target=target_name,
output_format="html" # or "markdown"
)
Report Sections
| Section | Description | Key Content |
|---|---|---|
| 🎯 靶点概况 | Target overview | Protein function, diseases |
| 💊 已上市药物 | Approved drugs | Name, company, indication |
| 🏥 临床管线 | Clinical pipeline | Phase distribution, drugs |
| 📚 研究热点 | Research trends | Publications, directions |
| 📜 专利布局 | Patent landscape | Trends, applicants |
| 📊 市场分析 | Market analysis | Size, competition |
| 🔮 投资展望 | Investment outlook | Opportunities, risks |
Output Formats
HTML (推荐)
- Modern responsive design
- Interactive charts and progress bars
- Color-coded status tags
- Print to PDF support
Markdown
- Plain text format
- Table-based layout
- Version control friendly
- Easy to edit
Usage
# Generate HTML report
report = generate_target_report("EGFR", output_format="html")
# Generate Markdown report
report = generate_target_report("KRAS", output_format="markdown")
# Save to file
report = generate_target_report(
target="BCL-2",
output_format="html",
output_path="report.html"
)
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 123 lines · 73 tokens per session scan A 0d7b9bfda3de
target-drug-report is a skill published in the GitHub repository PharMolix/OpenBioMed (1,105 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 763 once invoked, about $0.0004 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 2026-08-30.
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