paperlab-book-knowledge-graph skillC
paperlab-book-knowledge-graph is agent-read markdown (skill) from equinor/neqsim.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns 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[]`. …
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How to install
mdr add equinor/neqsim/paperlab-book-knowledge-graph@git:20260919.77c34a0mdr add equinor/neqsim/paperlab-book-knowledge-graph@sha256:ecd9a5a80f94d37fPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_xlb3k4itiaer2qtm)
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Versions
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
Source
equinor/neqsim · 155 stars · license Apache-2.0 · pushed 2026-09-24 · 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
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