Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

asta-skill阿斯塔技能

Agent Skill

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。

总安装

5,184

周安装

216

GitHub Stars

1

下载量

1,728
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills