databook

databook is a Document generation & office files skill for AI agents, published by kurtcagle in the databook repository on GitHub. Skillspace rates databook F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Create, parse, validate, and transform DataBook documents — Markdown files that function simultaneously as human-readable documents, typed data containers, and self-describing semantic artifacts. Use this skill whenever the user mentions DataBooks, .databook.md files, wants to wrap RDF/SPARQL/ SHACL data in a structured document, needs to generate YAML metadata for semantic data, wants to extract fenced data blocks from a DataBook, needs to build a DataBook pipeline manifest, transformer library, or processor registry, or asks about the DataBook spec at https://github.com/kurtcagle/databook. Also trigger for requests to produce a "semantic document", "knowledge artifact", or "self-describing data file" in the context of RDF, SHACL, or holonic graph work.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
20

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
73 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • references sensitive credential env
  • dynamic code execution (eval/exec)
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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