neqsim-optimization-and-doe SKILL.md skillA
neqsim-optimization-and-doe 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-optimization-and-doe@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-optimization-and-doe/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0.0, committed Sep 26, 2026
- First version recorded
- Apr 26, 2026
- Size
- 19,788 bytes
- Repository stars
- 167
- License
- Apache-2.0
Flowsheet optimization and Design of Experiments with NeqSim's built-in stack - SQP, Particle Swarm, Nelder-Mead, ProductionOptimizer, MultiObjectiveOptimizer (Pareto), BatchStudy sweeps, MonteCarloSimulator, ProcessSimulationEvaluator for SciPy/Pyomo. USE WHEN: minimize/maximize over decision variables, sensitivity studies, Pareto trade-offs, max throughput, parameter screening or DoE (reservoir/gas-lift/network problems: neqsim-production-optimization).
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
# NeqSim Process Optimization & DoE Skill NeqSim ships ~30 production-grade optimization classes. **Do not reinvent optimizers in Python — use what exists, then wrap it.** This skill is the discoverability layer that maps engineering problems to the right class. ## Decision Tree — Which Optimizer ``` Need to OPTIMIZE something on a flowsheet? │ ├── ML / agentic closed loop (string addresses, never-throw JSON, replayable trajectory)? │ → auto.newOptimizer() (AgenticProcessOptimizer — bounded Nelder-Mead on top of evaluate()) │ ├── Maximize THROUGHPUT for given P_in / P_out, with equipment constraints? │ → ProcessOptimizationEngine.findMaximumThroughput(...) │ ├── Single decision variable, custom objective, monotonic feasibility? │ → ProductionOptimizer + OptimizationConfig(SearchMode.BINARY_FEASIBILITY) │ ├── Single var, NON-monotonic / unimodal score? │ → ProductionOptimizer + SearchMode.GOLDEN_SECTION_SCORE │ ├── 2–10 vars, no gradients, smooth-ish? │ → ProductionOptimizer + SearchMode.NELDER_MEAD_SCORE │ ├── Non-convex, multiple local optima, global search? │ → ProductionOptimizer + SearchMode.PARTICLE_SWARM_SCORE │ …
Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/neqsim-optimization-and-doe@sha256:a57e4ac06a2c1832The 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_mg3xtnlghrqnzmef)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Apr 26, 2026 and Sep 26, 2026, about one every 38 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-26 | 08d0028 | 19,788 B | A | view · diff |
| v1.0.0 | 2026-09-21 | d6c45ad | 19,970 B | A | view · diff |
| v1.0.0 | 2026-07-13 | 6e09b10 | 19,600 B | A | view · diff |
| v1.0.0 | 2026-06-14 | 5409c51 | 18,261 B | A | view · diff |
| v1.0.0 | 2026-04-26 | f35556c | 17,861 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 (19788 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_mg3xtnlghrqnzmef GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-optimization-and-doe GET https://markdownregistry.com/api/v1/blob/a57e4ac06a2c1832a18a4abc5e5a2405922303a568ce2fb8e8e38e4340cb4011
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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.