paperlab-book-knowledge-graph SKILL.md skillC
paperlab-book-knowledge-graph 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/paperlab-book-knowledge-graph@git:20260919.77c34a0Pins git:20260919.77c34a0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- C, 14 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- equinor/neqsim
- Path
neqsim-paperlab/skills/paperlab-book-knowledge-graph/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260919.77c34a0, committed Sep 19, 2026
- Size
- 1,858 bytes
- Repository stars
- 167
- License
- Apache-2.0
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
# Skill: PaperLab Book Knowledge Graph ## Purpose Build a review graph for a PaperLab book so editors can see how chapters, figures, notebooks, standards, source folders, and skills connect. Use this when a book needs gap analysis, traceability review, duplicate-concept review, or a visual map of the editorial workflow. ## Inputs Use the book artifacts when they exist: - `book.yaml` - `coverage_matrix.md` - `source_manifest.json` - `figure_dossier.json` - `standards_map.json` - `skill_stack_plan.json` - chapter notebooks and figures ## Workflow 1. Run the prerequisite audits: `book-source-inventory`, `book-figure-dossier`, `book-standards-map`, and `book-skill-stack-plan`. 2. Run `python paperflow.py book-knowledge-graph <book_dir>`. 3. Open `book_knowledge_graph.html` and review isolated nodes, missing skill links, figures without discussion, chapters without notebooks, and standards that appear in text but have no clause-level evidence. 4. Use the graph during adversarial review to decide which chapters need synthesis, source retrieval, or de-duplication. ## Output - `book_knowledge_graph.json` with `nodes[]` and `edges[]`. …
Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/paperlab-book-knowledge-graph@sha256:ecd9a5a80f94d37fThe line at the top of this page pins the label git:20260919.77c34a0, 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_xlb3k4itiaer2qtm)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 19, 2026.
Audit of the latest version
- fail: Frontmatter block present
- fail: Frontmatter declares a name
- fail: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1858 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
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
equinor/neqsim · 167 stars · license Apache-2.0 · pushed 2026-11-08 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_xlb3k4itiaer2qtm GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/paperlab-book-knowledge-graph GET https://markdownregistry.com/api/v1/blob/ecd9a5a80f94d37f291f7fed2174b2c9c6711c8af00dba9e5a646ed9295b1d4d
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.