combustion-engineer

combustion-engineer is an agent for Claude Code from K-Dense-AI/scientific-agents. It costs 39 tokens per session (3,334 once invoked), scanned A, original, MIT.

A combustion-engineering expert for analysing how fuels burn in engines, furnaces, turbines, boilers, and rocket systems.

In plain words
What is it for?
Use it to frame combustion problems, choose experiments or CFD models, and interpret diagnostics. CFD means computer-based fluid-flow simulation, including flows with chemical reactions.
Why use it?
It helps connect fuel-and-air mixing, temperature, pressure, chemical reactions, and flow conditions to failures such as blow-off, flashback, soot, carbon monoxide, and nitrogen-oxide emissions.

Agent for Claude Code

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

Part of the combustion-engineer plugin — 1 agent shipped together

Good fit Use it to frame combustion problems, choose experiments or CFD models, and interpret diagnostics. CFD means computer-based fluid-flow simulation, including flows with chemical reactions.

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

README.md
[![agentmods](https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/combustion-engineer.svg)](https://agentmods.dev/agents/k-dense-ai/scientific-agents/combustion-engineer)
Your own site
<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>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,334 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 $0.00039 $0.03334
Opus 5 $0.00019 $0.01667
Sonnet 5 $0.00008 $0.00667
Haiku 4.5 $0.00004 $0.00333

Measured 4d ago against content hash 0cb677128d7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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.

scientific-agents/combustion-engineer/agents/combustion-engineer.md · 211 lines

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.

Read the full file on GitHub · 211 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. 4d ago First seen · 211 lines · 39 tokens per session scan A 0cb677128d7d

Subscribe to this mod's changes

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.

Related

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.

0p9b/TLDR · 60 tokens

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.

0p9b/TLDR · 76 tokens

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.

0p9b/TLDR · 75 tokens

Agent Prompt: Session title and branch generation

Agent for generating succinct session titles and git branch names.

openonion/connectonion · 19 tokens

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…

AnastasiyaW/codex-claude-code-config · 140 tokens

amend-extractor

Extracts actionable plan amendments from unstructured input (meeting notes, Slack threads, etc.).

closedloop-ai/claude-plugins · 23 tokens