food-fetch

Food-Fetch — Lawful Full-Text Acquisition

Turn a list of references or DOIs into read full text, so food-research, food-deep-research, and food-review build their knowledge base from the actual papers rather than abstracts. Original work; the routing/manifest architecture is informed by the open-source nature-downloader skill (see the repo README Acknowledgements). Legal-access-only, and it never fabricates — a paper that was not obtained is recorded as not obtained, never summarized as if read.

First-run setup — ask once, remember, remind if skipped

On the first run that needs full text, help the user set up access — this is what decides whether the review reads real papers. Check python3 scripts/food_fetch_setup.py status (exit 3 = not set up):

• If not set up, surface a highlighted request offering the choices, then save the answer so it isn't asked again:

  📚 Set up full-text access (one-time). To read papers, not just abstracts, pick one:

  1. Reference-manager library — send the path to your EndNote .Data folder (or Zotero storage/ / Mendeley). Best coverage for cited work.
  2. Institutional access — I'll reach entitled full text through your own logged-in library session in the browser when needed.
  3. Open access only — no setup, but see the warning below.

  ⚠️ Without access to non-open-access articles, the accuracy of the results is substantially limited — most published papers are paywalled, so the knowledge base and every claim's grounding would rest on abstracts + the ~half of literature that is open access.

  Save the choice: food_fetch_setup.py set --library <path> / --institutional / --open-access-only.

• If already set up (exit 0), use the saved mode silently — do not re-ask.

• If the saved mode is open_access_only, remind at the start of each full-text run — briefly, once — that non-OA access is not configured and that this substantially limits accuracy, and offer to switch (options 1–2). Don't block; proceed at open-access + abstract level.