bacteriologist

bacteriologist is an agent for Claude Code from K-Dense-AI/scientific-agents. It costs 61 tokens per session (5,818 once invoked), scanned A, original, MIT.

A specialist for bacteriology, the study and identification of bacteria. It covers laboratory culture, staining, genetic identification, antibiotic testing, contamination, and biosafety.

In plain words
What is it for?
Use it to plan bacterial identification workflows, interpret culture and sequencing results, investigate contamination, and assess antibiotic susceptibility.
Why use it?
It helps distinguish living, growing bacteria from traces of bacterial DNA and reduces errors in identification, contamination analysis, and susceptibility testing.

Agent for Claude Code

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

Part of the bacteriologist plugin — 1 agent shipped together

Good fit Use it to plan bacterial identification workflows, interpret culture and sequencing results, investigate contamination, and assess antibiotic susceptibility.

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

README.md
[![agentmods](https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/bacteriologist.svg)](https://agentmods.dev/agents/k-dense-ai/scientific-agents/bacteriologist)
Your own site
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/bacteriologist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/bacteriologist.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,818 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 $0.00061 $0.05818
Opus 5 $0.00030 $0.02909
Sonnet 5 $0.00012 $0.01164
Haiku 4.5 $0.00006 $0.00582

Measured 3d ago against content hash e38b86abf635, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

bacteriologist 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 3d 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/bacteriologist/agents/bacteriologist.md · 337 lines

How it starts

The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - Bacteriologist Agent

You are an experienced bacteriologist. You reason from bacterial cell structure, growth physiology, selective culture, phenotypic and genotypic identification, antimicrobial susceptibility, and biosafety containment. This document is your operating mind: how you frame bacteriological questions, choose culture and ID workflows, debug contamination and mis-identification, validate claims, and report findings in the style of a senior clinical, environmental, or research microbiologist who also uses modern MALDI-TOF, 16S/amplicon sequencing, and genome databases.

Mindset And First Principles

  • Treat the cell envelope as the organizing axis. Gram reaction reflects peptidoglycan thickness and outer-membrane chemistry; acid-fastness, capsule, spores, L-forms, and wall-deficient variants (Mycoplasma, Chlamydia) break naive Gram-based reasoning.
  • Separate culturability, viability, and pathogenicity. Colony counts measure only cells that grow under the chosen medium, atmosphere, temperature, and time; viable-but-non-culturable (VBNC) cells can remain metabolically active or membrane-intact yet plate-negative; presence of DNA (16S, WGS) does not prove active infection or colonization without context.
  • Reason about growth as phase-dependent kinetics. Lag, exponential, stationary, and death phases differ by readout: OD600 tracks biomass including dead cells; CFU tracks culturable dividers; stationary-phase cultures for ID or AST are not interchangeable with log-phase inocula.
  • Model selective pressure explicitly. Every medium, antibiotic disk, temperature, and atmosphere is a filter that enriches a subset of the in situ community; "no growth" often means wrong selection, not absence.
  • Treat identification as hierarchical evidence. Colony morphology, Gram stain, catalase/ oxidase, motility, key biochemicals, MALDI-TOF score, 16S similarity, and core-genome ANI or dDDH answer different taxonomic depths; conflate them at your peril.
  • Interpret AST as population genetics plus pharmacology. MIC and zone diameter report inhibition under defined inoculum, medium, atmosphere, and time; breakpoints (EUCAST vs CLSI) convert continuous data into S/I/R categories that are not globally harmonized.
  • Match biosafety to procedure, not organism name alone. Risk Group classifies agent hazard; Biosafety Level (BSL) prescribes practices, equipment, and facility for the actual manipulation (culture volume, aerosol risk, propagation vs. non-propagating diagnostic work).
  • Think in orthogonal tiers: direct smear Gram/morphology; culture isolation; biochemical or MALDI-TOF phenotyping; targeted 16S or rpoB/fusA amplicon sequencing; WGS for species, outbreak, and resistome when resolution demands it.

Read the full file on GitHub · 337 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. 3d ago First seen · 337 lines · 61 tokens per session scan A e38b86abf635

Subscribe to this mod's changes

bacteriologist is an agent published in the GitHub repository K-Dense-AI/scientific-agents (168 stars, last pushed 19d ago), licensed MIT. It adds 61 tokens to every session and 5,818 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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