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neqsim-jet-fire-radiation-screening

neqsim-jet-fire-radiation-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 79 tokens per session (1,140 once invoked), scanned A, original, Apache-2.0.

An educational calculator for estimating heat radiation from an ignited gas jet, either at a chosen distance or at the distance where a chosen heat limit is reached. It uses a simple public flame model for early screening.

In plain words
What is it for?
Use it to estimate heat flux reaching people or equipment, or to find a rough distance to a thermal limit from a continuous gas release.
Why use it?
It gives a quick indication of how far a jet-fire hazard might extend before a detailed fire-consequence study. It does not replace design-grade analysis.

Skill for Claude CodeCodex

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

not rated 4repo today A scan 79 tokens original Apache-2.0

Good fit Use it to estimate heat flux reaching people or equipment, or to find a rough distance to a thermal limit from a continuous gas release.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/equinor/neqsim-community-skills/neqsim-jet-fire-radiation-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-jet-fire-radiation-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-jet-fire-radiation-screening

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-jet-fire-radiation-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-jet-fire-radiation-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,140 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 $0.00079 $0.01140
Opus 5.5 $0.00032 $0.00456
Sonnet 5.5 $0.00016 $0.00228
Haiku 4.5 $0.00008 $0.00114

Measured 1mo ago against content hash 5efe60cf73a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-jet-fire-radiation-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_jet_fire_radiation_screening.py, src/jet_fire_radiation_screening/__init__.py, src/jet_fire_radiation_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/safety/neqsim-jet-fire-radiation-screening/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Jet Fire Radiation Screening

Use this skill for public, educational jet-fire thermal-radiation screening. It estimates the radiative heat flux at a given distance, or the distance to a target flux, from an ignited gas release using the open single-point-source flame model, so an agent can scope a fire hazard zone before detailed consequence analysis.

When to Use

  • When a user asks roughly what radiation flux reaches a target distance.
  • When an agent needs a quick distance to a personnel or equipment thermal limit.
  • When examples must run without confidential plant layout or fire-tool data.

Inputs

  • release_rate: burning mass release rate mdot in kg/s.
  • heat_of_combustion: lower heat of combustion Hc in J/kg, default 50e6.
  • radiant_fraction: fraction of heat released as radiation Xr, default 0.2.
  • transmissivity: atmospheric transmissivity tau, default 1.0.
  • distance: distance to the target in m (for flux), optional.
  • target_flux: target radiation flux in kW/m2 (for distance), optional.

Outputs

  • total_radiative_power_kw: total radiative power emitted by the flame.
  • radiation_flux_kw_m2: flux at distance, or null if no distance given.
  • distance_to_target_m: distance to target_flux, or null if no target given.
  • radiation_warning: ok, watch, high, severe, or no-distance.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class JetFireRadiationModel uses the public single-point-source flame model:

  • the radiative power uses Q_rad = tau * Xr * mdot * Hc.
  • the flux at a distance uses q = Q_rad / (4 pi r^2).
  • the distance to a target flux inverts the same relation: r = sqrt(Q_rad / (4 pi q_target)).
  • the warning compares the flux to public thermal limits: a personnel limit (default 4.7 kW/m2), an equipment limit (default 12.5 kW/m2), and a 37.5 kW/m2 severe limit.

This is educational and screening-only logic. It assumes full combustion of the released mass, isotropic emission with no view factor, and no flame shape, length, or wind tilt. It is not a replacement for validated fire modelling, solid-flame or CFD radiation tools, and qualified safety review.

Read the full file on GitHub · 104 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 · 104 lines · 79 tokens per session scan A 5efe60cf73a0

Subscribe to this mod's changes

neqsim-jet-fire-radiation-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 79 tokens to every session and 1,140 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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neqsim-jet-fire-radiation-screening next to 6 skills from other repositories
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