neqsim-agentic-process-optimization SKILL.md skillA
neqsim-agentic-process-optimization from equinor/neqsim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add equinor/neqsim/neqsim-agentic-process-optimization@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- equinor/neqsim
- Path
.github/skills/neqsim-agentic-process-optimization/SKILL.md- Versions recorded
- 7
- Latest version
- v1.0.0, committed Oct 28, 2026
- First version recorded
- Jun 13, 2026
- Size
- 31,222 bytes
- Repository stars
- 167
- License
- Apache-2.0
Agentic closed-loop optimization of large multi-area NeqSim ProcessModel plants with convergence gating and equipment introspection. USE WHEN: an agent must optimize a live full-plant flowsheet (setpoints, compressor pressures, heater temperatures, routing fractions) across years/scenarios with surge/RVP/spec constraints and per-trial feasibility gating. Covers getAdjustableParameters, runUntilConverged, RunStatus, getOperatingPoint surge margins, RVP, copy() sweeps.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Agentic Process-Model Optimization This skill is the recipe for an **agent that optimizes a large, already-built multi-area plant** (e.g. an offshore separation + recompression + export train) by turning the newest NeqSim automation and introspection APIs into a robust optimization loop. It assumes the flowsheet is a `ProcessModel` assembled from several named `ProcessSystem` areas (see `neqsim-platform-modeling`). Use `neqsim-optimization-and-doe` for the *algorithm* (SQP, PSO, BatchStudy, ProcessSimulationEvaluator → SciPy/Pyomo). Use *this* skill for the *plumbing*: how to read the decision space, evaluate one trial robustly, gate feasibility, and score the objective from real equipment results. --- ## 1. The four pillars (all verified in NeqSim ≥ 3.13.0) | Need | API | Returns | |------|-----|---------| | Decision space (bounded knobs) | `ProcessAutomation.getAdjustableParameters()` / `getAdjustableParametersJson()` | `List<AdjustableParameter>` with `name/address/unit/lowerBound/upperBound/source` | …
Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/neqsim-agentic-process-optimization@sha256:7639f0bdb5869df9The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_wvzysal4moujg24l)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Jun 13, 2026 and Oct 28, 2026, about one every 23 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-10-28 | 42390b7 | 31,222 B | A | view · diff |
| v1.0.0 | 2026-09-26 | 08d0028 | 30,416 B | A | view · diff |
| v1.0.0 | 2026-07-13 | 674b634 | 30,819 B | A | view · diff |
| v1.0.0 | 2026-07-13 | 6e09b10 | 26,026 B | A | view · diff |
| v1.0.0 | 2026-06-14 | 5409c51 | 19,776 B | A | view · diff |
| v1.0.0 | 2026-06-13 | e03c167 | 18,724 B | A | view · diff |
| v1.0.0 | 2026-06-13 | 9eecdfe | 15,768 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (31222 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
equinor/neqsim · 167 stars · license Apache-2.0 · pushed 2026-11-08 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_wvzysal4moujg24l GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-agentic-process-optimization GET https://markdownregistry.com/api/v1/blob/7639f0bdb5869df9184794cdf5582a0da10003f4b7a0cfd4b189b1bc24020471
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.