neqsim-technical-document-reading

neqsim-technical-document-reading is a skill for Claude Code, Codex from equinor/neqsim. It costs 146 tokens per session (15,485 once invoked), scanned A, original, Apache-2.0.

An engineering document-reading workflow that extracts data from PDFs, Word files, spreadsheets, CSVs, and engineering drawings such as P&IDs (piping and instrumentation diagrams). It standardizes units and names, checks the results against physical limits, and produces structured data for engineering analysis.

In plain words
What is it for?
Use it to turn equipment datasheets, drawings, requirements, and performance maps into validated engineering inputs for process simulation, mechanical design, and analysis.
Why use it?
It reduces manual copying from mixed technical files and helps catch missing, inconsistent, or physically implausible values before they reach a simulation or design calculation.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/equinor/neqsim/neqsim-technical-document-reading
Any agent
npx skills add equinor/neqsim --skill neqsim-technical-document-reading
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for neqsim-technical-document-reading

README.md
[![agentmods](https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-technical-document-reading.svg)](https://agentmods.dev/skills/equinor/neqsim/neqsim-technical-document-reading)
Your own site
<a href="https://agentmods.dev/skills/equinor/neqsim/neqsim-technical-document-reading"><img src="https://agentmods.dev/badge/skills/equinor/neqsim/neqsim-technical-document-reading.svg" alt="Measured on agentmods" height="20"></a>
Per session 146 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15,485 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00146 $0.15485
Opus 5 $0.00073 $0.07743
Sonnet 5 $0.00029 $0.03097
Haiku 4.5 $0.00015 $0.01549

Measured 2d ago against content hash 618b1e52f5e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

neqsim-technical-document-reading scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/skills/neqsim-technical-document-reading/SKILL.md · 1,453 lines

How it starts

The opening of the file, as written. The whole thing — 1,453 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Document Reading Skill

Extract structured engineering data from technical documents and convert it into formats usable by process simulation, mechanical design, and engineering analysis.

Use the public community skill neqsim-document-intelligence-extraction before this skill when the task receives files. It owns source inventory, native/OCR/vision routing, provenance, confidence, review gates, and cross-document conflicts. This skill consumes that evidence package and adds document-type schemas, engineering normalization, physical validation, and NeqSim handoffs. Keeping this boundary explicit prevents OCR or multimodal output from being mistaken for verified engineering data.

Core Principle

Classify → Extract → Normalize → Validate → Output

  1. Classify the document type to select the right extraction strategy
  2. Extract raw data using format-specific tools (PDF, Word, Excel)
  3. Normalize units, component names, and field names to standard conventions
  4. Validate extracted data against physical bounds and completeness checks
  5. Output structured JSON/dict for downstream consumption

For P&ID-driven operational studies, also load neqsim-pid-process-operations. That skill converts symbols into a process graph, classifies valve functions, maps instrument bubbles to historian tags, and defines steady-state or dynamic NeqSim scenario actions.

For water-hammer or liquid-hammer screening, also load neqsim-water-hammer. Extract route geometry, wall thickness, roughness/piping class, fittings, valve closure timing, design pressure, and tagreader event references so the output can feed WaterHammerStudy or MCP runWaterHammer.

For trapped-liquid fire rupture studies, also load neqsim-trapped-liquid-fire-rupture. Extract segment boundaries, line numbers, pipe geometry, material grade/certificate data, flange/gasket/bolt ratings, fire/PFP basis, relief availability, acceptance criteria, and explicit evidence gaps before handing data to the solver.

Read the full file on GitHub · 1,453 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 1,453 lines · 146 tokens per session scan A 618b1e52f5e6

Subscribe to this mod's changes

neqsim-technical-document-reading is a skill published in the GitHub repository equinor/neqsim (150 stars, last pushed today), licensed Apache-2.0. It adds 146 tokens to every session and 15,485 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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