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Agent Skill · 研究检索

asta-skill(阿斯塔技能)

asta-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。

asta-skill 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 20,543。

总安装 5,184周安装 216GitHub Stars 1下载 1,728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
0.2.7

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:asta-skill(阿斯塔技能)
来源仓库:https://github.com/agents365-ai/asta-skill
安装命令:
openclaw skills install asta-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 asta-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。

Ai2 Asta MCP 工具的领域专业知识支持,涵盖意图路由与安全默认值。适用于 OpenClaw 中处理学术相关任务的工作流模式。提供陷阱警告与工作流程建议,增强工具使用安全性。安装前需确认权限范围、维护状态及是否涉及敏感信息处理。asta-skill 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 asta-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

asta-skill 怎么安装?

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

asta-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。

asta-skill 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。

asta-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。

asta-skill 用的人多吗?

公开数据是累计安装 5,184 次,近一周安装 216 次,下载 1,728 次,GitHub 1 星。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。

asta-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

  • 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

  • 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
asta-skill

阿斯塔技能 · 本页

5,1841接触敏感数据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
asta-skill
description
Domain expertise for Ai2 Asta MCP tools (Semantic Scholar corpus). Intent-to-tool routing, safe defaults, workflow patterns, and pitfall warnings for academic paper search, citation traversal, and author discovery.
license
MIT
homepage
https://github.com/Agents365-ai/asta-skill
compatibility
Requires an MCP-capable host (Claude Code, Codex, Cursor, Windsurf, Hermes, OpenClaw/ClawHub) with the Asta MCP server registered at https://asta-tools.allen.ai/mcp/v1 using an x-api-key header. The skill does not make HTTP calls itself.
platforms
[macos, linux, windows]
metadata
{"openclaw":{"requires":{"env":["ASTA_API_KEY"]},"emoji":"🔭","mcp":{"name":"asta","type":"http","url":"https://asta-tools.allen.ai/mcp/v1","headers":{"x-api-key":"${ASTA_API_KEY}"}}},"hermes":{"tags":["asta","semantic-scholar","academic","paper-search","citation","mcp"],"category":"research","requires_tools":["mcp"],"related_skills":["semanticscholar-skill","zotero-research-assistant","literature-review"]},"pimo":{"category":"research","tags":["asta","semantic-scholar","academic","paper-search","citation","mcp"]},"author":"Agents365-ai","version":"0.2.7"}

Asta MCP — Academic Paper Search

Asta is Ai2's Scientific Corpus Tool, exposing the Semantic Scholar academic graph over MCP (streamable HTTP transport). This skill tells agents which Asta tool to call for which intent, and how to compose them into useful workflows.

  • MCP endpoint: https://asta-tools.allen.ai/mcp/v1
  • Auth: x-api-key header (request key at https://share.hsforms.com/1L4hUh20oT3mu8iXJQMV77w3ioxm)
  • Transport: streamable HTTP

Update Notifications

If <skill_directory>/.last_version_check is missing or >24h old, fetch the version from https://raw.githubusercontent.com/Agents365-ai/asta-skill/main/SKILL.md, compare to the local version, then write the current Unix timestamp to .last_version_check. If remote is newer, tell the user once: 📢 asta-skill X.Y.Z → A.B.C. Run 'git -C <skill_directory> pull' to update. Silently skip on any failure. Never run git pull yourself.

Prerequisite Check

Before invoking any tool, verify the Asta MCP server is registered in the host agent. Tool names will be prefixed by the MCP server name chosen at install time (commonly asta__<tool> or mcp__asta__<tool>). If no Asta tools are visible, direct the user to the Installation section below.

Tool Map — Intent → Asta Tool

User intentAsta toolNotes
Broad topic searchsearch_papers_by_relevanceSupports venue + date filters
Known paper titlesearch_paper_by_titleOptional venue restriction
Known DOI / arXiv / PMID / CorpusId / MAG / ACL / SHA / URLget_paperSingle-paper lookup
Multiple known IDs at onceget_paper_batchBatch lookup — prefer over N sequential get_paper calls
Who cited paper Xget_citationsCitation traversal with filters, paginated
Find author by namesearch_authors_by_nameReturns profile info
An author's publicationsget_author_papersPass author id from previous call
Find passages mentioning Xsnippet_search~500-word excerpts from paper bodies

Search/citation tools accept publication_date_range (format YYYY-MM-DD:YYYY-MM-DD; year shorthand like "2021:", ":2015-01", "2015:2020" is also accepted) and venues (comma-separated) filters, plus fields for field selection — pass them whenever the user's intent constrains scope (e.g., "recent", "since 2022", "at NeurIPS").

⚠️ fields parameter — avoid context blowups

get_paper / get_paper_batch accept a fields string. Never request citations or references via fields — a single highly-cited paper (e.g. *Attention Is All You Need*) returns 200k+ characters and will overflow the agent's context window. Use the dedicated get_citations tool for forward citations (it paginates). Asta does not provide a dedicated get_references tool — to retrieve a paper's reference list, use get_paper with fields=references only for papers you know have a small reference list (typically < 100).

Safe default fields for get_paper:

title,year,authors,venue,tldr,url,abstract

Add journal, publicationDate, fieldsOfStudy, isOpenAccess only when needed.

Workflow Patterns

Pattern 1 — Topic Discovery

  1. search_papers_by_relevance(keyword, publication_date_range="<current_year-5>:", venues=?) → initial hits (compute the lower bound from today's date — e.g., in 2026 pass publication_date_range="2021:"; adjust or drop the filter if the user asks for older work)
  2. Rank/present top N by citationCount + recency
  3. Offer follow-ups: get_citations on the most influential, or snippet_search for specific claims

Pattern 2 — Seed-Paper Expansion

  1. get_paper(DOI|arXiv|...) → verify seed
  2. get_citations(paperId) → forward expansion
  3. Optionally search_papers_by_relevance with seed title terms for sideways discovery
  4. Deduplicate by paperId before presenting

Pattern 3 — Author Deep-Dive

  1. search_authors_by_name(name) → pick correct profile (disambiguate by affiliation)
  2. get_author_papers(authorId) → full publication list
  3. Filter client-side by topic keywords or date

Pattern 4 — Evidence Retrieval

  1. snippet_search(claim_query) → find passages making/supporting a claim
  2. For each hit, optionally get_paper(id) for full metadata

Output & Interaction Rules

  • Always report total count and which tool was used.
  • Present top 10 as a table (title, year, venue, citations), then details for the most relevant.
  • If the user writes in Chinese, present summaries in Chinese; keep titles in original language.
  • After results, offer: Details / Refine / Citations / Snippet / Export / Done.

Critical Rules

  • Prefer batched intent over ping-pong. If the user's question needs two independent lookups, issue them as parallel MCP tool calls in one turn, not sequentially.
  • Never guess IDs. If a user gives a fuzzy title, use search_paper_by_title before get_paper.
  • Respect rate limits. An API key buys higher limits but not unlimited — stop expanding citation graphs beyond what the user asked for.
  • Do not fabricate fields. If Asta returns null abstract or venue, say so rather than inventing.

Handling Asta responses

SituationWhat to do
Empty abstractNot all corpus papers have full text — use snippet_search, or fall back to title + TLDR
Author disambiguation uncertainInspect affiliations in search_authors_by_name results before calling get_author_papers
429 Too Many RequestsBack off; batch with get_paper_batch instead of sequential get_paper calls

平台分布

OpenClaw

88.77%
按下载量换算1,534

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

可疑

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。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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