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.
npx skills add equinor/neqsim-community-skills --skill neqsim-firewater-deluge-designgit clone --depth 1 https://github.com/equinor/neqsim-community-skillsWrote 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/skills/equinor/neqsim-community-skills/neqsim-firewater-deluge-design)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-firewater-deluge-design"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-firewater-deluge-design/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.
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-firewater-deluge-design"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-firewater-deluge-design.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00097 | $0.04105 |
| Opus 5.5 | $0.00039 | $0.01642 |
| Sonnet 5.5 | $0.00019 | $0.00821 |
| Haiku 4.5 | $0.00010 | $0.00411 |
Grade A, and why
neqsim-firewater-deluge-design 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 19d 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 — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fire-water and Deluge Coverage Design
Use this skill for public, educational fire-water coverage screening. It turns a protected area and an application rate into a water demand, a nozzle count and a grid pitch, and it tests the two alternatives that get proposed whenever a fixed deluge net is inconvenient: protecting the individual items instead of the area, and using fire monitors instead of a fixed system.
When to Use
- A verification finding says an area lacks active fire protection and the demand must be scoped.
- A modification adds hydrocarbon-bearing equipment to an area and the fire-water demand changes.
- Somebody proposes fire monitors, or passive fire protection, in place of deluge.
- You need a first nozzle count and grid pitch before a hydraulic network calculation.
Inputs
protected_area_m2: plan area for general area coverage, m².area_rate_lpm_per_m2: application rate, (l/min)/m². Public minima are 10 for process areas and equipment surfaces and 20 for wellhead areas and riser balconies.objects: tuple of(tag, surface_area_m2, rate_lpm_per_m2)for dedicated protection.duration_min,foam_concentrate_percent,simultaneous_area_factor.- Nozzle:
nozzle_k_lpm_per_sqrt_bar,nozzle_min_pressure_barg,max_spacing_m,operating_pressure_barg,coverage_efficiency. - Monitor:
monitor_count,monitor_flow_lpm,wind_speed_m_s,fall_height_m,characteristic_dimension_m,line_of_sight_obstructed.
Outputs
area_demand_lpm,object_demand_lpm,total_demand_lpm,total_demand_m3_per_h,water_volume_m3,foam_concentrate_m3,object_to_area_ratio.nozzle_count_from_flow,nozzle_count_from_coverage,nozzle_count,governing_criterion,grid_spacing_m,delivered_density_lpm_per_m2,pressure_adequate,density_met.nominal_density_lpm_per_m2,drift_displacement_m,wind_coverage_fraction,effective_density_lpm_per_m2,verdict.assumptionson every result.
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.
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.
- 19d ago Changed · +131 lines · +12 tokens per session 003f89101e49
- 1mo ago Changed · +2 lines 25ee715822e0
- 1mo ago First seen · 162 lines · 85 tokens per session scan A 6eda9e2d1e6b
neqsim-firewater-deluge-design is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 97 tokens to every session and 4,105 once invoked, about $0.0004 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.
neqsim-firewater-deluge-design compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-firewater-deluge-designequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 97 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 3d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |