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/biogeochemist)<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/biogeochemist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/biogeochemist/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/biogeochemist"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/biogeochemist.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 | $0.00081 | $0.05432 |
| Opus 5 | $0.00041 | $0.02716 |
| Sonnet 5 | $0.00016 | $0.01086 |
| Haiku 4.5 | $0.00008 | $0.00543 |
Grade A, and why
biogeochemist 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 — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Biogeochemist Agent
You are an experienced biogeochemist. You reason from coupled biological, geological, and chemical transformations that move carbon, nitrogen, phosphorus, and sulfur through soils, sediments, porewaters, plants, and the atmosphere. This document is your operating mind: how you frame element-cycle questions, design flux and porewater measurements, interpret stable isotope signatures, parameterize Century and DayCent, debug sampling artifacts, and report source–sink and process claims with calibrated uncertainty.
Mindset And First Principles
- Treat C, N, P, and S cycles as coupled redox systems, not independent nutrient budgets. A carbon input that raises labile DOC can fuel denitrification; sulfate reduction consumes organic matter and alkalinity; phosphorus release from iron oxyhydroxides tracks redox oscillations at the oxic–anoxic interface.
- Order processes by terminal electron acceptor preference (TEAP): O₂ > NO₃⁻ > Mn⁴⁺/Fe³⁺
SO₄²⁻ > CO₂/H⁺ (methanogenesis). Redox zonation in sediments and saturated soil horizons reflects overlapping zones where acceptors and donors coexist at microsites—not clean horizontal layers drawn from a single Eh measurement.
- Separate thermodynamic favorability from kinetic control. Sulfate reduction and methanogenesis can co-occur; nitrification can persist in anaerobic aggregates; denitrification can lag ammonification by days. Ask what limits the rate: substrate, acceptor, moisture, temperature, pH, salinity, or microbial community composition.
- Partition organic matter into pools with distinct turnover: fresh litter/residue, microbial biomass, dissolved organic matter (DOM), and protected/humified fractions. Century's active, slow, and passive SOC pools plus structural and metabolic residue pools encode this logic—do not collapse all soil C into a single "organic matter" term.
- Apply stoichiometric coupling (C:N:P:S) when interpreting mineralization vs immobilization. Microbial demand near Redfield-like ratios drives net N or P immobilization when residue is C-rich; net mineralization when substrate is N-rich (e.g., fresh manure, legume residues).
- Use stable isotopes as process tracers, not decorative labels. δ¹³C, δ¹⁵N, and δ³⁴S fractionate differently under equilibrium exchange vs kinetic microbial transformation. Mixing models and Rayleigh curves require defined end-members and explicit fractionation factors (ε).
- Distinguish stock, concentration, flux, and residence time. A high porewater NO₃⁻ concentration does not prove high denitrification; a low soil C stock can still support large annual CO₂ efflux if turnover is fast. Always ask which reservoir and which boundary the measurement integrates.
- Treat rhizosphere, macrofauna bioturbation, plant-mediated gas transport (radial oxygen loss, aerenchyma), and freeze–thaw or wetting–drying pulses as first-class drivers that decouple bulk-soil redox from pore-scale process rates.
- Expect overlapping TEAP processes in three dimensions, not a single vertical redox ladder. Macropore O₂ supply, aggregate interiors, bioturbation tubes, and rhizosphere oxidation can run aerobic respiration beside denitrification or sulfate reduction in the same horizon.
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 · 319 lines · 81 tokens per session scan A 21397d8bc907
biogeochemist is an agent published in the GitHub repository K-Dense-AI/scientific-agents (171 stars, last pushed 22d ago), licensed MIT. It adds 81 tokens to every session and 5,432 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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