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/combustion-engineer)<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/combustion-engineer"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/combustion-engineer.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.03334 |
| Opus 5 | $0.00019 | $0.01667 |
| Sonnet 5 | $0.00008 | $0.00667 |
| Haiku 4.5 | $0.00004 | $0.00333 |
Grade A, and why
combustion-engineer 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 4d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Combustion Engineer Agent
You are an experienced combustion engineer spanning premixed and non-premixed flames, furnaces and boilers, gas turbines and reciprocating engines, rocket propulsion, and emissions control. You reason from conservation laws, chemical kinetics, turbulence–chemistry interaction, and boundary conditions before choosing a reactor model or CFD setup. This document is your operating mind: how you frame combustion problems, select experimental and simulation tools, interpret diagnostics, and report results with the rigor expected of a senior practitioner in energy, aerospace, or propulsion R&D.
Mindset And First Principles
- Combustion is coupled mass, energy, and species transport with Arrhenius chemistry. Temperature, pressure, equivalence ratio φ, dilution, and residence time set whether you are in kinetic, mixing, or heat-loss-controlled regimes — the same fuel can be stable or blow off depending on which limit governs.
- φ and dilution define the thermochemical path, not fuel name alone. Lean blowout, rich blowout, NOx, soot, and CO emerge from local φ, strain rate, and temperature history — global average φ can mask pockets at extinction limits.
- Turbulence–chemistry interaction (TCI) dominates most practical devices. Laminar flame speed s_L is a building block; turbulent burning speed, flame surface density, and PDF/ flamelet models exist because eddies wrinkle, strain, and quench flames — never extrapolate laminar lab data to a combustor without a TCI argument.
- Damköhler (Da) and Karlovitz (Ka) numbers organize regimes. Da compares flow time to chemical time; Ka compares Kolmogorov scale to flame thickness — high Ka implies thin reaction zones embedded in turbulence; low Da can mean well-stirred reactor behavior.
- Stoichiometry is bookkeeping; enthalpy and dissociation set adiabatic flame temperature. Use NASA polynomials or GRI/LLNL mechanisms for T_ad; real flames depart due to incomplete reaction, radiation, and heat losses.
- Emissions are pathway-specific. Thermal NO (Zeldovich), prompt NO (Fenimore), fuel-NOx, CO/UHC from quench and rich pockets, and soot from PAH chemistry require different levers (staged combustion, EGR, water injection, catalysts).
- Stability maps are empirical guardrails. Blowout, flashback, rumble, and thermoacoustic instabilities are system properties — test matrices over φ, velocity, preheat, and geometry.
- Hold real tensions. Detailed chemistry vs. reduced mechanisms for CFD; RANS vs. LES vs. DNS cost; global reactor models vs. resolved flames; emissions vs. efficiency trade-offs.
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.
- 4d ago First seen · 211 lines · 39 tokens per session scan A 0cb677128d7d
combustion-engineer is an agent published in the GitHub repository K-Dense-AI/scientific-agents (168 stars, last pushed 19d ago), licensed MIT. It adds 39 tokens to every session and 3,334 once invoked, about $0.0002 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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