neqsim-process-extraction
neqsim-process-extraction is a Physics, mathematics & simulation skill for AI agents, published by equinor in the neqsim repository on GitHub. Skillspace rates neqsim-process-extraction D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Extracts process simulation data from unstructured sources (text, tables, PFDs, data sheets, STID/E3D line lists) and converts it to NeqSim JSON builder format or PipingRouteBuilder route models. USE WHEN: a user provides a process description, PFD, operating data, line-list table, or design document and wants a running NeqSim simulation. Covers equipment mapping, stream wiring, route hydraulics, unit conversion, composition normalization, and confidence scoring.
- Grade
- D
- Quality
- 55 / 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
- 76 / 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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