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-dry-gas-seal-screeninggit 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-dry-gas-seal-screening)<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-dry-gas-seal-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-dry-gas-seal-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.
<a href="https://agentmods.dev/skills/equinor/neqsim-community-skills/neqsim-dry-gas-seal-screening"><img src="https://agentmods.dev/badge/skills/equinor/neqsim-community-skills/neqsim-dry-gas-seal-screening.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 | $0.00075 | $0.01675 |
| Opus 5.5 | $0.00030 | $0.00670 |
| Sonnet 5.5 | $0.00015 | $0.00335 |
| Haiku 4.5 | $0.00007 | $0.00168 |
Grade A, and why
neqsim-dry-gas-seal-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.
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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dry Gas Seal Screening
Use this skill for public, educational dry gas seal screening on centrifugal compressors. It estimates the seal-gas and separation-gas supply demand from the primary seal leakage rate and flags retrograde-condensation risk by comparing the seal cavity temperature against a hydrocarbon dew point at the seal/vent reference condition.
When to Use
- When a user asks whether a compressor dry gas seal has adequate seal-gas supply margin.
- When an agent needs a quick condensation-risk triage for the primary vent / standpipe dead-leg before a detailed seal study.
- When examples must run without confidential seal vendor data, machine line lists, or project seal-gas conditioning specifications.
Inputs
seal_leakage_rate_nl_per_min: primary seal leakage rate at standard conditions in NL/min per seal.seal_cavity_temperature_c: seal cavity (process-side) temperature in degrees C.hydrocarbon_dew_point_c: hydrocarbon dew point at the seal/vent reference condition in degrees C.seal_count: number of seals supplied (default 2: drive end and non-drive end).supply_margin: seal-gas supply margin over leakage, dimensionless, default 1.25.separation_gas_rate_nl_per_min: separation (secondary) gas rate per seal in NL/min, default 0.0.
Outputs
total_seal_gas_supply_nl_per_min: screening seal-gas supply demand.separation_gas_supply_nl_per_min: screening separation-gas supply demand.seal_gas_supply_margin_ratio: the applied supply margin over leakage.condensation_margin_c: seal cavity temperature minus the hydrocarbon dew point.condensation_warning:ok,watch, orhigh(a small or negative margin means higher condensation risk).assumptions: public assumptions used by the placeholder model.
Engineering Method
The Python class DryGasSealModel uses open, public concepts only:
- seal-gas supply demand is the primary seal leakage multiplied by the seal count and a supply margin, reflecting the API 692 intent that supply must exceed leakage to keep the seal faces clean.
- separation-gas supply demand scales with the seal count.
- the condensation margin compares the seal cavity temperature against a hydrocarbon dew point at the seal/vent reference condition. A small or negative margin flags retrograde condensation risk in the primary vent piping and standpipe dead-legs, which is the failure mode that seal-gas conditioning units exist to prevent.
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.
- 1mo ago Changed · +4 lines 7f96490a79a1
- 1mo ago First seen · 112 lines · 75 tokens per session scan A badb439624ed
neqsim-dry-gas-seal-screening is a skill published in the GitHub repository equinor/neqsim-community-skills (4 stars, last pushed today), licensed Apache-2.0. It adds 75 tokens to every session and 1,675 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.
neqsim-dry-gas-seal-screening compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| neqsim-dry-gas-seal-screeningequinor/neqsim-community-skills | Skill | 4 | today | Apache-2.0 | A | 75 | 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 |