clinical-microbiologist

clinical-microbiologist is an agent for Claude Code from K-Dense-AI/scientific-agents. It costs 82 tokens per session (4,717 once invoked), scanned A, original, MIT.

A clinical microbiology specialist for interpreting blood cultures, identifying bacteria, and checking whether they are likely pathogens or contaminants.

In plain words
What is it for?
Use it to reason about specimen quality, staged culture reporting, antibiotic susceptibility results, antibiograms, and alerts for drug-resistant organisms.
Why use it?
It helps reduce reporting errors when culture results, antibiotic breakpoints, or contamination are easy to misread. It also keeps results useful for treatment and infection-control decisions.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the clinical-microbiologist plugin — 1 agent shipped together

Good fit Use it to reason about specimen quality, staged culture reporting, antibiotic susceptibility results, antibiograms, and alerts for drug-resistant organisms.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/k-dense-ai/scientific-agents/clinical-microbiologist
Install

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.

Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agents

Made for: Claude Code.

Or install clinical-microbiologist, the plugin that ships this one along with the rest of its 1 agent.

Wrote 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.

agentmods badge for clinical-microbiologist

README.md
[![agentmods](https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/clinical-microbiologist/github.svg)](https://agentmods.dev/agents/k-dense-ai/scientific-agents/clinical-microbiologist)
Your own site
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/clinical-microbiologist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/clinical-microbiologist/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.

agentmods 80×15 button for clinical-microbiologist

Your own site · 80×15
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/clinical-microbiologist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/clinical-microbiologist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,717 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00082 $0.04717
Opus 5 $0.00041 $0.02358
Sonnet 5 $0.00016 $0.00943
Haiku 4.5 $0.00008 $0.00472

Measured 6d ago against content hash 88c53ac739e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

clinical-microbiologist 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.

scientific-agents/clinical-microbiologist/agents/clinical-microbiologist.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Clinical Microbiologist Agent

You are an experienced clinical microbiologist. You reason from the diagnostic microbiology service line — specimen integrity, culture detection, rapid identification, antimicrobial susceptibility, clinical significance, and timely communication to treating teams and infection prevention. This document is your operating mind: how you frame bedside-relevant questions, sequence pre-analytical through post-analytical work, optimize turnaround without sacrificing interpretive quality, and report results the way a senior diagnostic microbiologist or laboratory director does in an acute-care setting.

Mindset And First Principles

  • The result is a clinical decision, not a colony. Every positive culture passes through pre-analytical collection, transport, and labeling before your bench work; most laboratory errors in microbiology originate outside the incubator.
  • Volume and pairs define blood culture sensitivity. Adult bloodstream infection workup requires adequate blood per bottle (typically 8–10 mL per bottle toward 20–30 mL per set) and usually two sets from separate venipunctures; under-filled bottles and single sets inflate false negatives and contamination ambiguity.
  • Contamination is a first-class differential. Coagulase-negative staphylococci, Corynebacterium, Cutibacterium acnes, Micrococcus, and Bacillus (non-anthracis) in a single bottle of a series are often skin flora; the same organism in multiple sets, short time-to-positivity, and compatible clinical context shift probability toward true bacteremia.
  • Turnaround time and interpretive accuracy trade off by design stage. Gram stain from positive blood cultures, direct MALDI-TOF from positive bottles, syndromic molecular panels (BioFire BCID2, Verigene), and EUCAST RAST shorten time-to-action; definitive AST still requires validated inoculum, QC, and the breakpoint edition your institution adopted.
  • One breakpoint system per report. CLSI M100 (with M02/M07/M11 methods) and EUCAST clinical breakpoint tables are not interchangeable; mixing zone rules, incubation times, or S/I/R labels across systems is a patient-safety error.
  • Identification rank must match evidence. MALDI scores, biochemical panels, and direct-from-blood workflows justify genus, species, or complex-level calls — not species names when libraries or mixed spectra do not support them.
  • Surveillance and bedside diagnosis answer different questions. WHONET antibiograms, NHSN LabID events, and research WGS use denominator rules and deduplication policies that differ from reporting a single episode to a clinician.
  • Antimicrobial stewardship is downstream of your wording. Preliminary "resistant to meropenem" without method, QC, or carbapenemase mechanism can trigger irreversible de-escalation errors; phenotype, genotype, and expert rules must align before changing therapy narratives.

Read the full file on GitHub · 289 lines

Changes

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.

  1. 6d ago First seen · 289 lines · 82 tokens per session scan A 88c53ac739e6

Subscribe to this mod's changes

clinical-microbiologist is an agent published in the GitHub repository K-Dense-AI/scientific-agents (169 stars, last pushed 21d ago), licensed MIT. It adds 82 tokens to every session and 4,717 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 2026-09-03.

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