Freesearch search

Skill kennethkhoocy/applied-micro-skills/plugins/applied-micro/skills/lit-review-orchestrator/freesearch-search

Claude Code and Codex skills for empirical applied-micro research: reproducibility auditing, LLM-pipeline methods, event studies, WRDS, Stata, publication-grade tables

Install

npx -y skills add kennethkhoocy/applied-micro-skills --skill freesearch-search

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

14 days oldThe repository was created 14 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.

What its author says it does

Copied from the file, not written here

Run the lit-review orchestrator free index search channel against keyless OpenAlex, Crossref, and Semantic Scholar keyword-search endpoints. Use when the user invokes the free search channel, asks for keyless scholarly index search, or needs Stage 4e fallback discovery without SearchAPI, Gemini, or Undermind credentials.

SKILL.md

2.4 KB, as published. Nobody here has run it

Free Index Search channel (Stage 4e) — keyless OpenAlex / Crossref / Semantic Scholar

A zero-key discovery channel: it runs the Stage-0 query list against the free, keyless keyword-search endpoints of OpenAlex, Crossref, and Semantic Scholar and normalizes the real records into the pipeline schema. Together with the agent web-search channel (Stage 4d) it is the "only Claude Code" search fallback — no search account or API key required.

Unlike web search, this is a plain subprocess (it calls keyless HTTP APIs), so it runs the same way in any context.

When to use

The user has no SEARCHAPI_API_KEY / GEMINI_API_KEY / Undermind login — this is the keyless search backbone, OR
You want extra grounded, clean-metadata coverage from the scholarly indexes alongside the other channels.

Run it in parallel with whatever else is available; its output merges at dedup.

Recipe

Use the same Stage-0 query list Google Scholar uses:

python freesearch-search/scripts/freesearch_search.py \
    --queries-file OUT/scholar_queries.json -o OUT/stage4e_freesearch.json

Or a single query with --query "...". Options: --per-query N (default 20) and --sources openalex,crossref,semanticscholar (any subset). It writes stage4e_freesearch.json (+ .ris) with source set per index, deduped across indexes by DOI then title. The stage[0-9]*.json dedup glob picks it up automatically.

Keys

None required. OpenAlex and Crossref use the polite pool via a mailto (set LITREVIEW_CONTACT_EMAIL to use your own contact). If present, OPENALEX_API_KEY and SEMANTIC_SCHOLAR_API_KEY are used only to raise rate limits. It makes no LLM API calls.

Anti-hallucination

Every hit is a real index record, so there is nothing to fabricate — relevance, not existence, is the only variable, and screening handles relevance. Stage 5b verification still confirms each paper downstream. The keyless Semantic Scholar tier is rate-limited, so it is queried with a short delay and skipped gracefully on a 429.