neqsim-agentic-process-optimization

neqsim-agentic-process-optimization is a Physics, mathematics & simulation skill for AI agents, published by equinor in the neqsim repository on GitHub. Skillspace rates neqsim-agentic-process-optimization D (69/100) and it passed the safety scan; the rating is based on static analysis only.

Agentic, closed-loop optimization of large multi-area NeqSim ProcessModel plants using the newest automation, convergence-gating, and equipment-introspection APIs. USE WHEN: an agent must optimize a live full-plant flowsheet (operating setpoints, compressor pressures, heater temperatures, routing fractions) across one or more years/scenarios, with robust convergence handling, surge/RVP/spec constraints, and per-trial feasibility gating. Covers ProcessAutomation.getAdjustableParameters, ProcessModel.runUntilConverged + getConvergenceReportJson, RunStatus failure tracking, Compressor.getOperatingPoint surge margins, Standard_ASTM_D6377 RvpResult, ProcessSystem.copy parallel sweeps, and the rebuild-to-pick-up-new-NeqSim-functionality workflow. Complements neqsim-optimization-and-doe (built-in optimizer classes) and neqsim-platform-modeling (how the plant is built).

Grade
D
Quality
69 / 100
Safety
Passed
GitHub stars
132

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
90 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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