neqsim-literature-search SKILL.md skillA
neqsim-literature-search from equinor/neqsim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add equinor/neqsim/neqsim-literature-search@git:20261016.d652b1dPins git:20261016.d652b1d 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-literature-search/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261016.d652b1d, committed Oct 16, 2026
- First version recorded
- Jul 14, 2026
- Size
- 8,638 bytes
- Repository stars
- 167
- License
- Apache-2.0
Literature and web research workflow for NeqSim tasks. USE WHEN: a task needs papers, standards, textbook or benchmark data, or background from the open web, stored and summarized so it is reusable. Saves papers to references/literature/ and web extracts to references/web/, writes literature_findings.md (claims, citations, relevance) and feeds references/SOURCES.md.
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
# Literature & Web Search for Engineering Tasks Find, store, and summarize related papers and web information for a NeqSim task so the research is **auditable, reusable, and distributable** with the task folder. This skill defines the *workflow and storage convention*; it pairs with `neqsim-stid-retriever` (internal/vendor corpora), `neqsim-technical-document-reading` (fact extraction), `neqsim-pdf-ocr` (scanned PDFs), and `neqsim-standards-lookup` (which standards to pull). It is the open-literature/web counterpart to the internal-document retrieval flow, and shares the same `references/` collection layout so everything lands in one distributable folder. ## When to Use - At the start of Step 1 (Scope & Research) on Standard/Comprehensive tasks. - When the solver needs a reference for a claim, a correlation source, or an independent benchmark dataset (NIST, textbook worked examples, published lab data, standards). - When background context from the web (method descriptions, equipment background, operator/vendor public material, regulatory text) informs scope. ## Storage Convention (distributable, per-source) All research is stored **inside the task folder** under …
Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/neqsim-literature-search@sha256:ff6bf8d8565948a4The line at the top of this page pins the label git:20261016.d652b1d, 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.
[](https://markdownregistry.com/a/art_olzbpby7mrbxrzrf)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Jul 14, 2026 and Oct 16, 2026, about one every 31 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261016.d652b1d latest | 2026-10-16 | d652b1d | 8,638 B | A | view · diff |
| git:20260926.08d0028 | 2026-09-26 | 08d0028 | 8,610 B | A | view · diff |
| git:20260916.01705c3 | 2026-09-16 | 01705c3 | 8,755 B | A | view · diff |
| git:20260714.1f9a015 | 2026-07-14 | 1f9a015 | 7,960 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8638 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
equinor/neqsim · 167 stars · license Apache-2.0 · pushed 2026-11-08 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_olzbpby7mrbxrzrf GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/neqsim-literature-search GET https://markdownregistry.com/api/v1/blob/ff6bf8d8565948a4ab4985ecce9f58eaca443853cc3fe43bb0594a5b6ee4da8c
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.