{
  "title": "Skillarum: Conditionally Reproducible Website-to-Agent-Skill Compilation",
  "version": "0.2.0",
  "doi": "10.5281/zenodo.22663906",
  "doi_url": "https://doi.org/10.5281/zenodo.22663906",
  "zenodo_record": "https://zenodo.org/records/22663906",
  "record_id": "22663907",
  "publication_date": "2026-09-08",
  "resource_type": {
    "title": "Software",
    "type": "software"
  },
  "creators": [
    {
      "name": "Friedman, Daniel Ari",
      "affiliation": "Active Inference Institute",
      "orcid": "0000-0001-6232-9096"
    }
  ],
  "description": "<p>Skillarum turns selected public website pages into portable <code>SKILL.md</code> documents for agent harnesses such as Codex, Claude Code, and Hermes. Work is separated into five inspectable stages: acquire, prepare, process, parse, and render.</p><p>The crawler restricts acquisition to configured HTTP(S) origins, honours robots.txt, validates redirects, and records provenance for every page. Source text is delimited as untrusted data for LLM generation; generated code is never executed.</p><p>The deterministic backend is offline and source-extractive; optional OpenAI and Ollama backends provide provider generation with typed fallback traces. Rendered skills carry provenance manifests, and an evidence-gated research package aggregates run observations into descriptive statistics, figures, and a scholarly manuscript.</p><p>This release pairs the software source snapshot with the companion manuscript PDF.</p>",
  "keywords": [
    "website extraction",
    "agent skills",
    "provenance",
    "reproducibility",
    "prompt injection",
    "static compilation"
  ],
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  "related_resources": [
    {
      "type": "repository",
      "url": "https://github.com/docxology/Skillarum"
    }
  ],
  "github_repo": "docxology/Skillarum",
  "github_release_url": "https://github.com/docxology/Skillarum/releases/tag/v0.2.0",
  "release_tag": "v0.2.0",
  "release_name": "Skillarum 0.2.0",
  "pdf_sha256": "",
  "pairing_confidence": "strong",
  "pairing_evidence": [
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  ],
  "checked_at": "2026-09-10T17:37:35Z"
}