Borrowing it
Nothing to install: this file belongs to equinor/neqsim. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/equinor/neqsim/master/.github/skills/neqsim-agent-handoff/SKILL.mdgit clone --depth 1 https://github.com/equinor/neqsimWrote 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/neqsim-agent-handoff)<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-agent-handoff"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-agent-handoff/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/neqsim-agent-handoff"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-agent-handoff.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.02384 |
| Opus 5 | $0.00028 | $0.01192 |
| Sonnet 5 | $0.00011 | $0.00477 |
| Haiku 4.5 | $0.00006 | $0.00238 |
Grade A, and why
neqsim-agent-handoff 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 10d 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NeqSim Agent Handoff Schema
When agents need to pass results to other agents (e.g., @process.model output
feeding @mechanical.design), use these structured formats to ensure no
information is lost.
Handoff Principles
- Explicit over implicit — include all parameters, don't assume the receiving agent can infer
- Units always included — every numerical value has a unit
- Code-ready — the receiving agent can directly use the values in NeqSim API calls
- Traceable — include the source agent and any assumptions made
Schema 1: Fluid Definition Handoff
Pass from @thermo.fluid to any other agent:
{
"handoff_type": "fluid_definition",
"source_agent": "thermo.fluid",
"eos_class": "SystemSrkEos",
"mixing_rule": "classic",
"temperature_K": 298.15,
"pressure_bara": 60.0,
"components": [
{"name": "methane", "mole_fraction": 0.85},
{"name": "ethane", "mole_fraction": 0.10},
{"name": "propane", "mole_fraction": 0.05}
],
"multi_phase_check": false,
"characterization": null,
"java_code": "SystemInterface fluid = new SystemSrkEos(298.15, 60.0);\nfluid.addComponent(\"methane\", 0.85);\nfluid.addComponent(\"ethane\", 0.10);\nfluid.addComponent(\"propane\", 0.05);\nfluid.setMixingRule(\"classic\");",
"assumptions": ["Lean gas — no water, no C4+ components"]
}
Schema 2: Process Simulation Handoff
Pass from @process.model to @mechanical.design, @safety.depressuring, etc.:
{
"handoff_type": "process_simulation",
"source_agent": "process.model",
"fluid_definition": { "...": "Schema 1 above" },
"equipment": [
{
"name": "HP Separator",
"type": "Separator",
"inlet_temperature_C": 30.0,
"inlet_pressure_bara": 60.0,
"outlet_gas_temperature_C": 30.0,
"outlet_gas_pressure_bara": 60.0,
"outlet_liquid_temperature_C": 30.0,
"outlet_liquid_pressure_bara": 60.0,
"gas_flow_rate_kg_hr": 42000.0,
"liquid_flow_rate_kg_hr": 8000.0,
"gas_density_kg_m3": 45.2,
"liquid_density_kg_m3": 520.0
}
],
"mass_balance_error_pct": 0.001,
"energy_balance_error_pct": 0.01,
"assumptions": ["Adiabatic separator", "No liquid carryover"]
}
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.
- 10d ago First seen · 272 lines · 56 tokens per session scan A ca5fc961d8eb
neqsim-agent-handoff is a skill published in the GitHub repository equinor/neqsim (151 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 2,384 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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