neqsim-platform-modeling
neqsim-platform-modeling is a Physics, mathematics & simulation skill for AI agents, published by equinor in the neqsim repository on GitHub. Skillspace rates neqsim-platform-modeling D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Production platform process modeling patterns for NeqSim. USE WHEN: building full topside process models for oil & gas platforms (FPSO, fixed, semi-sub) from design documents, P&IDs, or operational data. Covers fluid creation with TBP fractions, multi-stage separation with recycles, recompression trains with compressor curves and anti-surge, export/injection compression, oil stabilization, scrubber liquid recovery, iteration strategies, and structured result extraction. Derived from 15+ production NCS platform models.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 132
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 79 / 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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