neqsim-exploration-strategy-selection SKILL.md skillA

neqsim-exploration-strategy-selection from equinor/neqsim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add equinor/neqsim/neqsim-exploration-strategy-selection@git:20261026.b9133bb

Pins git:20261026.b9133bb in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
equinor/neqsim
Path
.github/skills/neqsim-exploration-strategy-selection/SKILL.md
Versions recorded
2
Latest version
git:20261026.b9133bb, committed Oct 26, 2026
First version recorded
Oct 10, 2026
Size
13,118 bytes
Repository stars
167
License
Apache-2.0

Exploration strategy screening for a near-field target next to a producing host: dedicated exploration well versus a PLX sidetrack, pilot or lateral from a planned producer. Monte Carlo of discovery, volume, fluid, value, timing and cost with exploration cost paid in every outcome; EMV, value of information, break-even chance of success, crossovers and an APbo data checklist. USE WHEN: choosing how to explore a satellite or cellar target, or preparing an exploration APbo.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Exploration strategy selection (dedicated well vs PLX)

Second implementation with two zones, host-life gate and flow assurance: the Tyrihans cellar task (`tyr_model.py`, `07_strategies.py`, `13_crossovers.py`, `14_build_results.py`).
Third implementation, infrastructure-reuse variant with IOGR, tie-back routes and exploration in one Monte Carlo: the Morvin revitalization task (`mmodel.py`, `20_options.py`, `21_sens.py`).

Reference implementation: `task_solve/2026-10-10_limbus_apbo_exploration_strategy_dedicated_well_vs_plx_from/step2_analysis/scripts` (`limbus_model.py` development economics and volumes, `07_strategies.py` strategies, `08_sensitivity.py` tornado and maps, `13_crossovers.py`). Copy the pattern, not the numbers: every prospect input there is an assumption.

## 1. Strategies to compare

| Id | Strategy | What differs |
|----|----------|--------------|
| S1 | Dedicated exploration well | Full rig spread and well cost in every outcome, earlier data, long lag from discovery to first oil (appraisal, concept, sanction) |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add equinor/neqsim/neqsim-exploration-strategy-selection@sha256:3a2c1525585fb424

The line at the top of this page pins the label git:20261026.b9133bb, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_wedgawlgeedep6h2.svg)](https://markdownregistry.com/a/art_wedgawlgeedep6h2)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Oct 10, 2026 and Oct 26, 2026, about one every 16 days.

versioncommittedcommitsizeaudit
git:20261026.b9133bb latest2026-10-26 b9133bb 13,118 BA view · diff
git:20261010.7b9e40b2026-10-10 7b9e40b 13,090 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13118 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

equinor/neqsim · 167 stars · license Apache-2.0 · pushed 2026-11-08 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_wedgawlgeedep6h2
GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-exploration-strategy-selection
GET https://markdownregistry.com/api/v1/blob/3a2c1525585fb4241eb583ab7996b2b34a0187d6d594cc9e9c3a7f28989994f1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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