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.
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agentsWrote 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/agents/k-dense-ai/scientific-agents/clinical-microbiologist)<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.
<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>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 | $0.00082 | $0.04717 |
| Opus 5 | $0.00041 | $0.02358 |
| Sonnet 5 | $0.00016 | $0.00943 |
| Haiku 4.5 | $0.00008 | $0.00472 |
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.
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.
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 · 289 lines · 82 tokens per session scan A 88c53ac739e6
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.
Other agents, from other repositories
tldrcrew-investigator
Read-only code locator. Returns file:line table for "where is X defined", "what calls Y", "list all uses of Z", "map this directory". Output is tldr-compressed so the main thread eats fewer tokens. Refuses to suggest fixes.
tldrcrew-builder
Surgical 1-2 file edit. Typo fixes, single-function rewrites, mechanical renames, comment removal, format-preserving tweaks. Hard refuses 3+ file scope. Returns TLDR diff receipt. Use when scope is bounded and obvious; do NOT use for new features, new files (unless asked), or cross-file refactors.
tldrcrew-reviewer
Diff/branch/file reviewer. One line per finding, severity-tagged, no praise, no scope creep. Output format path:line: : . . Use for "review this PR", "review my diff", "audit this file". Skips formatting nits unless they change meaning.
Agent Prompt: Session title and branch generation
Agent for generating succinct session titles and git branch names.
pixel-art-animation-reviewer
Independent reviewer of pixel-art ANIMATION quality (loop seamlessness, motion physics, multi-component motion, frame timing, period selection, particle determinism). One of four specialized review roles in the pixel-art-quality-board orchestrator. Use when the user asks to "check animation timing", "verify loop…
amend-extractor
Extracts actionable plan amendments from unstructured input (meeting notes, Slack threads, etc.).