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neqsim-flare-radiation-screening

neqsim-flare-radiation-screening is a skill for Claude Code, Codex from equinor/neqsim-community-skills. It costs 67 tokens per session (1,149 once invoked), scanned A, original, Apache-2.0.

An educational calculator for estimating heat radiation from a flare at a chosen distance and comparing it with an allowable limit. A flare burns excess gas, often released during pressure relief or startup.

In plain words
What is it for?
Use it to screen personnel or equipment distances, radiant heat at a receptor, and whether a flare study needs further review.
Why use it?
It gives an early indication of whether people or equipment may be too close to a flare before detailed flare and radiation design.

Skill for Claude CodeCodex

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

not rated 4repo today A scan 67 tokens original Apache-2.0

Good fit Use it to screen personnel or equipment distances, radiant heat at a receptor, and whether a flare study needs further review.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-flare-radiation-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-flare-radiation-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,149 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 $0.00067 $0.01149
Opus 5.5 $0.00027 $0.00460
Sonnet 5.5 $0.00013 $0.00230
Haiku 4.5 $0.00007 $0.00115

Measured 1mo ago against content hash b81b29cbd699, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neqsim-flare-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_flare_radiation_screening.py, src/flare_radiation_screening/__init__.py, src/flare_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-flare-radiation-screening/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Flare Radiation Screening

Use this skill for public, educational flare thermal-radiation screening. It estimates radiant heat flux at a distance from a flare using the open API 521 / API 537 point-source model and compares it to common allowable limits so an agent can decide whether a detailed flare-radiation study is needed.

When to Use

  • When a user asks how far personnel or equipment must be from a flare for a given relief rate.
  • When an agent needs a quick radiation triage to scope a flare or relief study.
  • When examples must run without confidential flare designs, vendor tip data, or company radiation criteria.

Inputs

  • mass_flow: flared mass flow in kg/s.
  • heat_of_combustion: lower heating value of the flared gas in MJ/kg.
  • distance: distance from the flame center to the receptor in m.
  • fraction_radiated: fraction of heat radiated F, default 0.2.
  • transmissivity: atmospheric transmissivity, default 1.0.
  • allowable_flux: allowable radiant flux in kW/m2, default 6.31 (API 521 limit for a few seconds of exposure).

Outputs

  • total_heat_release_kw: total combustion heat release Q.
  • radiant_heat_flux_kw_m2: radiant flux at the receptor.
  • allowable_flux_kw_m2: the supplied allowable flux.
  • flux_ratio: ratio of computed flux to allowable flux.
  • radiation_warning: ok, watch, or high.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class FlareRadiationModel uses the open API 521 / API 537 point-source equation only:

  • the total heat release uses Q = mass_flow * heat_of_combustion.
  • the radiant flux uses q = tau * F * Q / (4 pi r^2), treating the flame as a single point source.
  • the warning compares the flux to the allowable limit using simple rule-based thresholds.

Common public allowable radiation limits from API 521 are about 4.73 kW/m2 (continuous exposure), 6.31 kW/m2 (a few seconds for escape), and 9.46 kW/m2 (equipment and structures). This is educational and screening-only logic. It does not include flame length and tilt, wind, multi-point flame models, view factors, solar radiation, or shielding. It is not a vendor flare method or a replacement for validated flare-radiation design and a qualified safety review.

Read the full file on GitHub · 105 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 · 105 lines · 67 tokens per session scan A b81b29cbd699

Subscribe to this mod's changes

neqsim-flare-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 67 tokens to every session and 1,149 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
Related

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