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figshare-skill

figshare-skill

github.com/agents365-aiData & databases97258 installsUpdated 2w ago
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About figshare-skill

figshare-skill guides API-based work with Figshare for researchers handling research outputs. It covers public search and downloads as well as authenticated deposits, file uploads, and article versioning.

Key features

  1. 01Search public articles
  2. 02Retrieve articles by ID or DOI
  3. 03Download article files
  4. 04Create and manage articles
  5. 05Upload files in parts
  6. 06Group articles into collections

Use cases

  1. 01Find Figshare research outputs by title or author
  2. 02Download files from a public article
  3. 03Upload files to an article draft
  4. 04Publish or version a research article

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/agents365-ai/365-skills --skill figshare-skill

After installing, type/figshare-skillin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

.gitignore
agents/
openai.yaml
scripts/
download.sh
new-version.sh
upload.sh

Details

From the project README

Figshare Skill

Interact with the Figshare v2 REST API to search, download, create, and upload research outputs.

Prerequisites

  • curl and jq available on PATH.

  • For authenticated endpoints (anything under /account/... or uploads), a personal token from https://figshare.com/account/applications exported as:

    export FIGSHARE_TOKEN=xxxxxxxxxxxxxxxx
    
  • Public endpoints (search, public articles, downloads) need no token.

Always confirm with the user before creating, modifying, publishing, or deleting anything on their account — these are hard to reverse.

Update check

Throttle to one check per 24 hours per installation; never mutate the skill directory without explicit user consent.

  1. If <this-skill-dir>/.last_update exists and is less than 24 hours old, skip this step entirely.

  2. Otherwise, fetch the latest tag from upstream:

    git -C <this-skill-dir> ls-remote --tags origin 'v*' 2>/dev/null \
      | awk '{print $2}' | sed 's|refs/tags/||' \
      | sort -V | tail -1
    
  3. Compare with this skill's metadata.version from the frontmatter. If the upstream tag is strictly newer (semver), tell the user one line and ask:

    "A newer version of this skill is available: vX.Y.Z → vA.B.C. Want me to git pull?"

    If they say yes, run git -C <this-skill-dir> pull --ff-only. Refresh .last_update either way so the prompt doesn't repeat for 24 hours.

  4. If upstream is the same or older, refresh .last_update silently and continue.

  5. On any failure (offline, not a git checkout — e.g. ClawHub-installed copy, read-only path, no permission), swallow the error silently and continue with the user's task. Do not mention the failure.

API Basics

  • Base URL: https://api.figshare.com/v2
  • Auth header: Authorization: token $FIGSHARE_TOKEN
  • Content-Type: application/json for POST/PUT bodies
  • Rate limit: keep it under ~1 request/second to avoid abuse throttling
  • Errors: JSON body with message, code; common codes 400/401/403/404/422

Common Recipes

Search public articles
curl -s -X POST https://api.figshare.com/v2/articles/search \
  -H "Content-Type: application/json" \
  -d '{"search_for": ":title: single cell", "page_size": 20}' | jq

Field operators: :title:, :author:, :tag:, :category:, :doi:, :resource_doi:.

Get a public article (by ID or DOI)
curl -s https://api.figshare.com/v2/articles/{article_id} | jq
# or resolve from a figshare.com URL: the numeric tail is the article_id
Download all files from a public article
ART=12345678
curl -s https://api.figshare.com/v2/articles/$ART/files \
  | jq -r '.[] | "\(.download_url)\t\(.name)"' \
  | while IFS=$'\t' read -r url name; do curl -L -o "$name" "$url"; done
List your own articles
curl -s -H "Authorization: token $FIGSHARE_TOKEN" \
  "https://api.figshare.com/v2/account/articles?page=1&page_size=50" | jq
Create an article (draft)
curl -s -X POST https://api.figshare.com/v2/account/articles \
  -H "Authorization: token $FIGSHARE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "title": "My dataset",
    "description": "Full description here.",
    "defined_type": "dataset",
    "tags": ["demo"],
    "categories": [2]
  }' | jq

Response is { "location": ".../account/articles/{id}", "entity_id": 123 }.

Update / publish an article
# update metadata
curl -s -X PUT https://api.figshare.com/v2/account/articles/$ART \
  -H "Authorization: token $FIGSHARE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"title": "New title"}'

# publish (becomes public, assigns DOI, version is frozen)
curl -s -X POST https://api.figshare.com/v2/account/articles/$ART/publish \
  -H "Authorization: token $FIGSHARE_TOKEN"

Always ask before publishing — it's permanent for that version.

Collections & projects
# create collection that groups existing articles
curl -s -X POST https://api.figshare.com/v2/account/collections \
  -H "Authorization: token $FIGSHARE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"title": "My Collection", "articles": [123, 456]}'

# create project
curl -s -X POST https://api.figshare.com/v2/account/projects \
  -H "Authorization: token $FIGSHARE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"title": "Research Project"}'

Uploading Files (Multi-part Flow)

Figshare uploads are 3-step: initiate → PUT each part → complete. Use the bundled helpers for anything non-trivial:

# upload a file to an existing draft article
./scripts/upload.sh <article_id> <path/to/file>

# batch-download every file from a public article (accepts id or figshare.com URL)
./scripts/download.sh <article_id_or_url> [output_dir]

# reserve + upload + publish a new version of an already-published article
./scripts/new-version.sh <article_id> <path/to/file>

The raw flow, in case you need to adapt it:

  1. Initiate — compute md5 + size, POST to article:

    SIZE=$(stat -f%z "$FILE" 2>/dev/null || stat -c%s "$FILE")
    MD5=$(md5sum "$FILE" | awk '{print $1}')   # or: md5 -q on macOS
    curl -s -X POST https://api.figshare.com/v2/account/articles/$ART/files \
      -H "Authorization: token $FIGSHARE_TOKEN" \
      -H "Content-Type: application/json" \
      -d "{\"md5\":\"$MD5\",\"name\":\"$(basename $FILE)\",\"size\":$SIZE}"
    

    Response has location pointing at /account/articles/$ART/files/$FILE_ID.

  2. Fetch upload info from that file record — it contains an upload_url. GET the upload_url to learn the part layout (parts: [{partNo, startOffset, endOffset}]).

  3. Upload parts — for each part, PUT the byte range to ${upload_url}/${partNo}:

    dd if="$FILE" bs=1 skip=$START count=$((END-START+1)) 2>/dev/null \
      | curl -s -X PUT --data-binary @- "${upload_url}/${partNo}" \
        -H "Authorization: token $FIGSHARE_TOKEN"
    
  4. Complete — POST to the file record to finalize:

    curl -s -X POST https://api.figshare.com/v2/account/articles/$ART/files/$FILE_ID \
      -H "Authorization: token $FIGSHARE_TOKEN"
    

Why three steps: Figshare streams large files through a separate upload service. Skipping the complete call leaves the file in a pending state and it won't appear on the article.

Pagination

Most list endpoints accept either page+page_size or limit+offset. Max page_size is typically 1000. For large harvests, loop until an empty page:

page=1
while :; do
  out=$(curl -s "https://api.figshare.com/v2/articles?page=$page&page_size=100")
  [ "$(echo "$out" | jq 'length')" = "0" ] && break
  echo "$out" | jq -c '.[]'
  page=$((page+1))
  sleep 1
done

Troubleshooting

  • 401 — token missing/expired; re-check $FIGSHARE_TOKEN.
  • 403 on /account/... — token lacks the needed scope; regenerate with full permissions.
  • 422 on article create — missing required field (usually title) or bad categories/defined_type.
  • Upload parts mismatch — md5 or size in step 1 didn't match the bytes actually uploaded; recompute and restart.
  • Published article won't update — publishing freezes a version; create a new version instead.

References

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