neqsim-plant-data
neqsim-plant-data is a Physics, mathematics & simulation skill for AI agents, published by equinor in the neqsim repository on GitHub. Skillspace rates neqsim-plant-data F (53/100) and it passed the safety scan; the rating is based on static analysis only.
Connecting NeqSim process simulations to plant historian data via tagreader. USE WHEN: reading data from OSIsoft PI or Aspen IP.21 historians, building tag mappings for process equipment, comparing simulated vs measured values, running digital twin loops, integrating NeqSim models with operational data, or extracting event windows for water-hammer screening. Covers tagreader API, tag mapping patterns, data quality handling, mock data generation, model-vs-plant comparison workflows, and valve/pump transient snapshots.
- Grade
- F
- Quality
- 53 / 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
- 79 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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