Food fetch
Lawfully acquire the full text of academic articles so the research and review skills can read papers, not just abstracts. Routes each article through legal open access (Unpaywall/OpenAlex/PMC/arXiv), the user's own reference-manager library (EndNote/Zotero/Mendeley PDFs), and — only with the user's own logged-in institutional browser session — their library's entitled full text, then extracts the text and writes a manifest of what was and was not obtained. Open-access articles are always downloaded and read, never left at abstract-level. Never bypasses paywalls, DRM, or logins. Use to fetch PDFs for a reference list or DOIs, get full text behind a subscription the user is entitled to, or build a full-text corpus. Triggers: download these papers, get the full text, fetch the PDFs for these DOIs, retrieve full text for my reference list, access the article through my library, build a full-text corpus.From its SKILL.md
npx -y skills add PangenomeAI/academic-skills-food-nutrition --skill food-fetchAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 24 stars24 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
7.2 KB, ~1.5k tokens by cl100k_base, as published. Nobody here has run it
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:
- Reference-manager library — send the path to your EndNote
.Datafolder (or Zoterostorage// Mendeley). Best coverage for cited work. - Institutional access — I'll reach entitled full text through your own logged-in library session in the browser when needed.
- 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. - Reference-manager library — send the path to your EndNote
-
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.
The store holds only a folder path and a mode — never a password, cookie, or token.
Access ladder (each article, in order) — see references/access-routing.md
- Open access — resolve a legal free PDF (Unpaywall → OpenAlex; PMC/Europe PMC
full text; arXiv/preprints) and download it.
oa_fetcherrunsscripts/fetch_oa.py. Open-access full text is always fetched and read — never left at abstract-level. - The user's reference-manager library —
library_fetcherreads the PDFs the user already downloaded in EndNote (<Library>.Data/PDF/), Zotero (storage/), or Mendeley, mapping each reference by DOI/title. Read-only. - The user's entitled institutional access —
institutional_fetcherreuses the user's own logged-in library session in the browser (Claude-in-Chrome) to open the article through their library resolver / EZproxy / Shibboleth-CARSI / WebVPN and save the entitled PDF. User-driven login only. Seereferences/institutional-access.md. - User-supplied PDFs — anything the user drops in the project folder.
If none reaches it, the article is oa_not_found / library_no_permission — the
user is told plainly, and the source stays unread (not summarized).
Subagents (dispatch via the Agent tool)
fetch_coordinator— takes the reference list / DOIs, confirms the Supporting Information choice once, runs the batch, and returns the manifest + a plain summary of read vs unread.access_router— per article, normalize the DOI/title, detect open-access vs paywalled and publisher, and choose the ladder step (references/access-routing.md).oa_fetcher— download every open-access PDF viascripts/fetch_oa.py; verify each is a real PDF (%PDF); record source + SHA-256.library_fetcher— match references to PDFs in the user's reference-manager library folder and read them (read-only).institutional_fetcher— with the user's own browser session, reach the library-entitled full text and save the PDF; hand off to the user for any login/CAPTCHA/2FA (references/institutional-access.md).content_reader— normalize each obtained article (XML/HTML/PDF) into clean sectioned full text, preferring structured JATS XML over scraped PDF (references/format-reading.md); never treat an abstract or a login page as the paper.
Deliverable — a coverage manifest (references/manifest-and-status.md)
Always return one manifest listing every requested reference with a typed status
(open_access_downloaded · library_pdf_read · institutional_downloaded ·
oa_not_found · library_no_permission · pdf_fetch_failed · not_a_pdf), its
access route, and file/SHA-256 where downloaded — plus a one-line count of how many
were read in full vs not. This is what makes the review's grounding honest and
auditable. Run scripts/privacy_scan.py on anything delivered.
Boundaries (non-negotiable) — references/boundaries.md
Lawful access only: legal OA, the user's own library files, and the user's own authorized institutional session. Never bypass a paywall, DRM, or 2FA; never read, type, export, or ask for passwords / cookies / OTP codes / session tokens; never scrape against a site's terms; no bulk/indiscriminate downloading — only the confirmed list. For a login or verification challenge, hand the browser to the user.
Called by
food-research (screener_appraiser/data_extractor), food-deep-research
(investigator/source_verifier), and food-review (knowledge_builder) call
food-fetch to obtain full text before extracting; the agri-* skills via delegation.
What ships with it: 12 files
27.5 KB alongside SKILL.md
agents/
- access_router.md1.2 KB
- content_reader.md2.0 KB
- fetch_coordinator.md2.3 KB
- institutional_fetcher.md3.7 KB
- library_fetcher.md1.2 KB
- oa_fetcher.md1.3 KB
references/
- access-routing.md1.7 KB
- boundaries.md1.9 KB
- format-reading.md3.2 KB
- institutional-access.md4.7 KB
- institution-profiles.md2.2 KB
- manifest-and-status.md2.1 KB