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DAAF-Contribution-CommunityDAAF-Contribution-Community/daaf/.claude/skills/scholarly-search/SKILL.md

scholarly-search

Skill239 starsChanged 11 days agoLGPL-3.0View on GitHub

Searches and traces academic literature via DAAF's provenance CLI `bash /daaf/scripts/scholar_search.sh`, fusing OpenAlex, Semantic Scholar and ERIC (incl. EdWorkingPapers), merging paper versions, and saving raw responses, a fenced digest and a MANIFEST row for every call. Subcommands: citation verification (verify: catches fabricated references), forward/backward snowballing, more-like-this, passages inside OA papers, cached full text, legal OA copies and licenses (oa), retraction checks (Crossref/Retraction Watch, Scite notices), Scite citation-stance tallies (supporting/contradicting), and Elicit study-type-tagged search and paid async research reports (spend-gated). Use for literature reviews, finding papers or evidence on a question, checking that a citation exists, was retracted, or is supported or contradicted by later work, or locating an OA PDF. Strong for education and social science. Grey literature goes through the web-retrieval skill. NOT for dataset discovery (education-data-explorer).

  • Reads credentials

The file

We split this skill into the rules it gives an agent

8 rules. About 0 are common, 3 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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  • It worked
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  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free