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Agent Skill · 研究检索

figshare-skill(无花果分享技能)

figshare-skill 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

figshare-skill 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 30,783。

总安装 2,820周安装 113GitHub Stars 公开资料未说明下载 913核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:figshare-skill(无花果分享技能)
来源仓库:https://github.com/agents365-ai/figshare-skill
安装命令:
openclaw skills install figshare-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install figshare-skill

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

与 Figshare 平台交互的数据集检索与管理工具。支持搜索公共数据集、下载文件和列出个人集合。适用于科研数据查找与引用管理。figshare-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install figshare-skill。

需注意 API 权限和数据访问范围限制。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install figshare-skill;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

figshare-skill 怎么安装?

在终端执行 openclaw skills install figshare-skill。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

figshare-skill 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

figshare-skill 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

figshare-skill 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

figshare-skill 用的人多吗?

公开数据是累计安装 2,820 次,近一周安装 113 次,下载 913 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

figshare-skill 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
figshare-skill

无花果分享技能 · 本页

2,820—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
figshare-skill
description
Use whenever the user wants to interact with Figshare - searching public datasets/articles, downloading Figshare files, listing their own articles/collections/projects, creating or updating articles, or uploading files (including large multi-part uploads) via the Figshare v2 REST API. Trigger on mentions of "figshare", figshare DOIs (10.6084/m9.figshare.*), figshare.com URLs, or phrases like "upload my dataset to figshare", "publish to figshare", "get figshare article".
homepage
https://github.com/Agents365-ai/figshare-skill
license
MIT

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.

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)\	\(.name)"' \
  | while IFS=$'\	' read -r url name; do curl -L -o "$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.

  1. 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}]).
  1. 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 $FIGSHARE_TOKEN"
  1. Complete — POST to the file record to finalize:
   curl -s -X POST https://api.figshare.com/v2/account/articles/$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

  • API reference: https://docs.figshare.com/
  • Token management: https://figshare.com/account/applications
  • Category IDs: GET https://api.figshare.com/v2/categories
  • License IDs: GET https://api.figshare.com/v2/licenses

平台分布

OpenClaw

72.47%
按下载量换算662

安全审计

VirusTotal

未展示

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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