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neqsim-fired-heater-duty-screening

neqsim-fired-heater-duty-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 66 tokens per session (1,185 once invoked), scanned A, original, Apache-2.0.

A screening calculation for a fired heater, which burns fuel to heat a process stream. It estimates the process heat duty, required fired duty, fuel rate, and average heat flux in the radiant section.

In plain words
What is it for?
Use it to estimate heater duty and fuel consumption for a process stream. It also supports early checks of radiant-section heat loading and fired-heater studies.
Why use it?
It provides an early size and operating check without a detailed heater design or vendor data. Comparing radiant heat flux with a guideline can flag a design that needs further review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 4repo today A scan 66 tokens original Apache-2.0

Good fit Use it to estimate heater duty and fuel consumption for a process stream. It also supports early checks of radiant-section heat loading and fired-heater studies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-fired-heater-duty-screening
View source ↗ equinor/neqsim-community-skills equinor.github.io
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.

Any agent
npx skills add equinor/neqsim-community-skills --skill neqsim-fired-heater-duty-screening
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim-community-skills

Made for: Claude Code, Codex.

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 neqsim-fired-heater-duty-screening

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-fired-heater-duty-screening/github.svg)](https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-fired-heater-duty-screening)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-fired-heater-duty-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-fired-heater-duty-screening/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.

agentmods 80×15 button for neqsim-fired-heater-duty-screening

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-fired-heater-duty-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-fired-heater-duty-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,185 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 $0.00066 $0.01185
Opus 5.5 $0.00026 $0.00474
Sonnet 5.5 $0.00013 $0.00237
Haiku 4.5 $0.00007 $0.00119

Measured 1mo ago against content hash 21152a2b9a42, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-fired-heater-duty-screening 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 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (examples/basic_fired_heater_duty_screening.py, src/fired_heater_duty_screening/__init__.py, src/fired_heater_duty_screening/model.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/process/neqsim-fired-heater-duty-screening/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fired Heater Duty Screening

Use this skill for public, educational fired-heater screening. It estimates the process duty, the fired duty, the fuel-gas rate, and the average radiant-section heat flux using open energy-balance relations so an agent can scope a fired-heater study and check the radiant flux against a public guideline before detailed thermal design.

When to Use

  • When a user asks roughly what fired duty and fuel rate a heater needs.
  • When an agent needs a quick radiant-flux check to scope a fired-heater study.
  • When examples must run without confidential heater designs, vendor data, or company specs.

Inputs

  • mass_flow: process mass flow in kg/s.
  • specific_heat: process-fluid specific heat in kJ/(kg K).
  • inlet_temperature: process inlet temperature in kelvin.
  • outlet_temperature: process outlet temperature in kelvin.
  • thermal_efficiency: heater thermal efficiency, default 0.85.
  • fuel_heating_value: fuel lower heating value in MJ/kg, default 46.0.
  • radiant_area: radiant-section tube surface area in m2.
  • allowable_radiant_flux: allowable average radiant flux in kW/m2, default 37.0.

Outputs

  • process_duty_kw: process absorbed duty Q.
  • fired_duty_kw: fired duty from the efficiency.
  • fuel_rate_kg_s: fuel-gas mass rate.
  • average_radiant_flux_kw_m2: process duty divided by radiant area.
  • flux_ratio: ratio of average radiant flux to the allowable flux.
  • fired_heater_warning: ok, watch, or high-flux.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class FiredHeaterDutyModel uses open energy-balance relations only:

  • the process duty uses Q = mass_flow * specific_heat * (T_out - T_in).
  • the fired duty uses Q_fired = Q / thermal_efficiency.
  • the fuel rate uses fuel = Q_fired / fuel_heating_value.
  • the average radiant flux uses Q / radiant_area and is compared to a public guideline.

This is educational and screening-only logic. It uses a constant specific heat, treats all process duty as absorbed in the radiant section for the flux estimate, and does not model convection-section split, tube-wall temperature, flame and bridgewall temperature, draft, or emissions. Typical public average radiant fluxes are about 30 to 37 kW/m2. It is not a replacement for validated fired-heater design (for example API 560) and a qualified review.

Read the full file on GitHub · 111 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 111 lines · 66 tokens per session scan A 21152a2b9a42

Subscribe to this mod's changes

neqsim-fired-heater-duty-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 66 tokens to every session and 1,185 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-19.

Scientific
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