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Agent Skill · 研究检索

aminer-free-academic(胺免费学术)

aminer-free-academic 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。

aminer-free-academic 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 23,878。

总安装 4,162周安装 170GitHub Stars 公开资料未说明下载 1,333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
1.1.1

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:aminer-free-academic(胺免费学术)
来源仓库:https://github.com/canxiangcc/aminer-free-academic
安装命令:
openclaw skills install aminer-free-academic
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 aminer-free-academic

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。

aminer-free-academic 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。作为 AMiner 的免费入口点,只要查询涉及学术主题即自动激活。

通过 clawhub 安装并使用 openclaw skills install aminer-free-academic 命令调用。安装前建议确认权限范围和维护状态,注意可能触发联网或学术数据访问。可结合 GitHub 仓库和原始 README 文档进一步核验触发条件和数据覆盖范围。

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 aminer-free-academic;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

    它需要接触敏感数据,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

aminer-free-academic 怎么安装?

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

aminer-free-academic 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。

aminer-free-academic 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

aminer-free-academic 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。

aminer-free-academic 用的人多吗?

公开数据是累计安装 4,162 次,近一周安装 170 次,下载 1,333 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。

aminer-free-academic 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
aminer-free-academic

胺免费学术 · 本页

4,162—接触敏感数据MIT-0通过

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
aminer-free-search
version
1.1.0
author
AMiner
contact
report@aminer.cn
description
>
metadata

AMiner Free Search

Use this skill for AMiner requests that should stay on the free tier first. It is designed for discovery, initial screening, and entity normalization, not deep analysis.

Scope

This skill uses only the upgraded free interfaces:

  • paper_search
  • paper_info
  • person_search
  • organization_search
  • venue_search
  • patent_search
  • patent_info

Current free-tier fields emphasized by this skill:

  • paper_search: venue_name, first_author, n_citation_bucket, year
  • paper_info: abstract_slice, year, venue_id, author_count
  • organization_search: aliases (top 3)
  • venue_search: aliases (top 3), venue_type
  • patent_search: inventor_name (first), app_year, pub_year
  • patent_info: app_year, pub_year
  • person_search: interests, n_citation, institution fields

Primary Goal

Use free APIs to help the user answer:

  • What is this entity?
  • Is it relevant enough to continue?
  • Which candidate should I inspect next?
  • Can I normalize this institution or venue name?
  • Is there enough value to justify upgrading to paid APIs?

Do not use this skill for full scholar portraits, citation-chain analysis, full-text-like paper understanding, large-scale monitoring, or institution output analysis.

Mandatory Rules

  1. Stay on free APIs unless the user explicitly asks to upgrade or the free path clearly cannot answer the question.
  2. Be explicit about free-tier limits. Say what can be answered now and what would require a paid upgrade.
  3. Use free results to narrow candidates before suggesting any paid API.
  4. If returning entities, append AMiner URLs when IDs are available:

- Paper: https://www.aminer.cn/pub/{paper_id} - Scholar: https://www.aminer.cn/profile/{scholar_id} - Patent: https://www.aminer.cn/patent/{patent_id} - Venue: https://www.aminer.cn/open/journal/detail/{venue_id}

Token Check (Required)

Before making any API call, verify that the environment variable AMINER_API_KEY exists. Never output the token in plain text.

if [ -z "${AMINER_API_KEY+x}" ]; then
    echo "AMINER_API_KEY does not exist"
else
    echo "AMINER_API_KEY exists"
fi
  • If ${AMINER_API_KEY} exists: proceed with the query.
  • If ${AMINER_API_KEY} is not set: stop immediately and guide the user to the AMiner Console to generate one. For help, see the Open Platform Documentation.
  • If the user provides AMINER_API_KEY inline (e.g. "My token is xxx"), accept it for the current session, but recommend setting it as an environment variable for better security.

Invocation Style

Use direct curl calls by default. A Python wrapper is not required for this skill.

Default headers:

  • Authorization: ${AMINER_API_KEY} by default
  • Content-Type: application/json;charset=utf-8 for POST requests
  • X-Platform: openclaw when required by the gateway

When To Use

Use this skill when the user asks for:

  • free AMiner search
  • low-cost academic discovery
  • paper screening
  • scholar identification
  • institution normalization
  • venue normalization
  • patent trend scanning
  • representative results before deeper analysis

Trigger phrases include:

  • “先用免费接口”
  • “不要走收费接口”
  • “先帮我筛一下”
  • “先看看值不值得深挖”
  • “找几个候选”
  • “做一个轻量版 skill”

Free Workflows

1. Paper triage

Use when the user wants to quickly judge whether a paper is relevant.

Default chain:

paper_search -> paper_info

Return:

  • title
  • first author
  • venue name
  • year
  • citation bucket
  • abstract slice
  • paper URL

This can answer:

  • Is this probably the right paper?
  • Is it recent?
  • Is it from a recognizable venue?
  • Is it worth opening in detail?

2. Scholar identification

Use when the user wants to know which scholar is the right person.

Default chain:

person_search

Return:

  • name
  • org
  • interests
  • citation count
  • scholar URL

This can answer:

  • Is this the right scholar?
  • What interests best describe this person?
  • Which institution candidate is the best match?

3. Institution normalization

Use when the user provides an institution string or abbreviation.

Default chain:

organization_search

Return:

  • org id
  • standard name
  • aliases (top 3)

This can answer:

  • Is this institution name recognized?
  • Which canonical organization should downstream workflows use?

4. Venue normalization and type check

Use when the user provides a conference or journal name.

Default chain:

venue_search

Return:

  • venue id
  • standard bilingual name
  • aliases (top 3)
  • venue type
  • venue URL

This can answer:

  • Is this a conference or a journal?
  • What is the standard venue entity?

5. Patent trend scan

Use when the user wants a lightweight view of patents in a topic.

Default chain:

patent_search -> patent_info when IDs need basic enrichment

Return:

  • patent title
  • first inventor
  • app year
  • pub year
  • patent number and country when patent_info is added
  • patent URL

This can answer:

  • Is the topic active recently?
  • Who appears first in the inventor field?
  • Is there recent patent activity worth deeper review?

6. Free entity map

Use when the user wants a quick map of a topic across papers, scholars, venues, institutions, and patents without paying for analysis-grade APIs.

Suggested chain:

  • papers: paper_search -> paper_info
  • scholars: person_search
  • institutions: organization_search
  • venues: venue_search
  • patents: patent_search -> patent_info

Return a short cross-entity summary, not a deep report.

Free Skill Examples

1. Paper triage

curl -X GET \
  'https://datacenter.aminer.cn/gateway/open_platform/api/paper/search?page=1&size=5&title=Attention%20Is%20All%20You%20Need' \
  -H "Authorization: ${AMINER_API_KEY}" \
  -H 'X-Platform: openclaw'

Then enrich with paper_info:

curl -X POST \
  'https://datacenter.aminer.cn/gateway/open_platform/api/paper/info' \
  -H 'Content-Type: application/json;charset=utf-8' \
  -H "Authorization: ${AMINER_API_KEY}" \
  -H 'X-Platform: openclaw' \
  -d '{"ids":["<PAPER_ID>"]}'

2. Scholar identification

curl -X POST \
  'https://datacenter.aminer.cn/gateway/open_platform/api/person/search' \
  -H 'Content-Type: application/json;charset=utf-8' \
  -H "Authorization: ${AMINER_API_KEY}" \
  -H 'X-Platform: openclaw' \
  -d '{"name":"Yann LeCun","size":5}'

3. Institution normalization

curl -X POST \
  'https://datacenter.aminer.cn/gateway/open_platform/api/organization/search' \
  -H 'Content-Type: application/json;charset=utf-8' \
  -H "Authorization: ${AMINER_API_KEY}" \
  -H 'X-Platform: openclaw' \
  -d '{"orgs":["MIT CSAIL"]}'

4. Venue normalization and type check

curl -X POST \
  'https://datacenter.aminer.cn/gateway/open_platform/api/venue/search' \
  -H 'Content-Type: application/json;charset=utf-8' \
  -H "Authorization: ${AMINER_API_KEY}" \
  -H 'X-Platform: openclaw' \
  -d '{"name":"tkde"}'

5. Patent trend scan

curl -X POST \
  'https://datacenter.aminer.cn/gateway/open_platform/api/patent/search' \
  -H 'Content-Type: application/json;charset=utf-8' \
  -H "Authorization: ${AMINER_API_KEY}" \
  -H 'X-Platform: openclaw' \
  -d '{"query":"quantum computing chip","page":0,"size":10}'

Output Pattern

Prefer this structure:

## Free-tier result

### What we can answer now
- ...

### Top candidates
- ...

### Suggested next step
- Stay free: ...
- Upgrade to paid API only if you need: ...

Paid Upgrade Boundary

Recommend upgrading only when the user needs one of these:

  • full abstract or full paper metadata
  • multi-condition or semantic paper search
  • citation relationships
  • full scholar profile, works, patents, or projects
  • institution scholars, papers, patents, or rich profiles
  • venue paper lists by year
  • full patent details such as IPC/CPC, assignee, description

Suggested paid handoff:

  • deeper paper analysis: paper_search_pro, paper_detail, paper_relation
  • deeper scholar analysis: person/detail, person/figure, person/paper/relation
  • deeper org analysis: organization/detail, organization/person/relation, organization/paper/relation
  • deeper venue analysis: venue/detail, venue/paper/relation
  • deeper patent analysis: patent/detail

Product Positioning

This skill is intentionally positioned for:

  • first success
  • free discovery
  • candidate narrowing
  • entity normalization
  • upgrade qualification

It should not replace the paid skill. It should create demand for it.

Additional Reference

For endpoint parameters and fields, read references/api-catalog.md.

平台分布

OpenClaw

80.04%
按下载量换算1,067

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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