linked-data-skills

linked-data-skills is a Data warehousing & modelling skill for AI agents, published by OpenLinkSoftware in the ai-agent-skills repository on GitHub. Skillspace rates linked-data-skills D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Generates Knowledge Graphs from two source types: (A) relational database objects via Virtuoso RDF Views, or (B) documents/text transformed to RDF using schema.org terms. PATH RDBMS — STRICT 5-step workflow: ask local-vs-DSN, enumerate tables, resolve hostname, confirm IRI patterns, generate TBox+ABox+rewrite rules, verify with entity samples. PATH D — 4-step workflow: collect document + {page_url} + format (JSON-LD or Turtle), generate RDF via prompt template, post- generation review (syntax fix, additional Q&A/entity types), save to user-designated folder. TOOL HIERARCHY: read queries use Demo.demo.execute_spasql_query; writes use EXECUTE_SQL_SCRIPT; RDF generation uses chatPromptComplete.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
26

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, so go by its current files.

View source on GitHubOpenLinkSoftware/ai-agent-skills

Our review

Architecture
81 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • 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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