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 AndyZhuang/Opentest --skill tooluniverse-infectious-diseasegit clone --depth 1 https://github.com/AndyZhuang/OpentestWrote 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/andyzhuang/opentest/tooluniverse-infectious-disease)<a href="https://agentmods.dev/skills/andyzhuang/opentest/tooluniverse-infectious-disease"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-infectious-disease/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/andyzhuang/opentest/tooluniverse-infectious-disease"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-infectious-disease.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00058 | $0.05559 |
| Opus 5 | $0.00029 | $0.02780 |
| Sonnet 5 | $0.00012 | $0.01112 |
| Haiku 4.5 | $0.00006 | $0.00556 |
Grade A, and why
tooluniverse-infectious-disease 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 8d 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 — 750 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Infectious Disease Outbreak Intelligence
Rapid response system for emerging pathogens using taxonomy analysis, target identification, structure prediction, and computational drug repurposing.
KEY PRINCIPLES:
- Speed is critical - Optimize for rapid actionable intelligence
- Target essential proteins - Focus on conserved, essential viral/bacterial proteins
- Leverage existing drugs - Prioritize FDA-approved compounds for repurposing
- Structure-guided - Use NvidiaNIM for rapid structure prediction and docking
- Evidence-graded - Grade repurposing candidates by evidence strength
- Actionable output - Prioritized drug candidates with rationale
- English-first queries - Always use English terms in tool calls (pathogen names, protein names, drug names), even if the user writes in another language. Only try original-language terms as a fallback. Respond in the user's language
When to Use
Apply when user asks:
- "New pathogen detected - what drugs might work?"
- "Emerging virus [X] - therapeutic options?"
- "Drug repurposing candidates for [pathogen]"
- "What do we know about [novel coronavirus/bacteria]?"
- "Essential targets in [pathogen] for drug development"
- "Can we repurpose [drug] against [pathogen]?"
Critical Workflow Requirements
1. Report-First Approach (MANDATORY)
-
Create the report file FIRST:
- File name:
[PATHOGEN]_outbreak_intelligence.md - Initialize with section headers
- Add placeholder:
[Analyzing...]
- File name:
-
Progressively update as you gather data
-
Output separate files:
[PATHOGEN]_drug_candidates.csv- Ranked repurposing candidates[PATHOGEN]_target_proteins.csv- Druggable targets
2. Citation Requirements (MANDATORY)
### Target: RNA-dependent RNA polymerase (RdRp)
- **UniProt**: P0DTD1 (NSP12)
- **Essentiality**: Required for replication
- **Conservation**: >95% across variants
- **Drug precedent**: Remdesivir targets RdRp
*Source: UniProt via `UniProt_search`, literature review*
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.
- 8d ago First seen · 750 lines · 58 tokens per session scan A 4af3a02dbc06
tooluniverse-infectious-disease is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 5,559 once invoked, about $0.0003 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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