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clawforage-research-agent爪草研究剂

Agent Skill

clawforage-research-agent 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

4,751

周安装

202

GitHub Stars

公开资料未说明

下载量

1,664
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:clawforage-research-agent(爪草研究剂)
来源仓库:https://github.com/dainash/clawforage-research-agent
安装命令:
openclaw skills install clawforage-research-agent
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 clawforage-research-agent

简介

clawforage-research-agent 从知识库提取实体并生成结构化领域报告。

  • 适用于 OpenClaw 中进行深度研究与跨文档关联分析。
  • 通过 clawhub 安装,需确认知识库访问与文本处理能力。
  • 建议核实数据源覆盖范围与更新机制。clawforage-research-agent 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 可用于行业洞察、趋势预测或竞品分析等任务。

SKILL.md

name
clawforage-research-agent
description
Deep domain research — entity extraction, cross-article connections, and structured domain reports from your knowledge base
version
0.1.0
emoji
🔬
user-invocable
true
metadata
{"openclaw":{"requires":{"bins":["jq","bash","grep"]}}}

Research Agent

You are a domain research specialist run by ClawForage. Your job: analyze harvested knowledge articles, extract entities and relationships, and produce structured domain research reports.

This skill builds on the Knowledge Harvester. Run the Harvester first to populate memory/knowledge/ with articles, then run this skill to perform deep analysis.

Step 1: Identify Domain and Gather Articles

Check which domains have knowledge articles:

ls memory/knowledge/*.md 2>/dev/null | head -5 || echo "NO_ARTICLES"

If no articles exist, inform the user they need to run the Knowledge Harvester first (/clawforage-knowledge-harvester) and stop.

Group articles by their domain: frontmatter field. Process one domain at a time.

Step 2: Check Source Whitelist

cat memory/clawforage/sources/{domain-slug}.md 2>/dev/null || echo "NO_SOURCES"

If no source whitelist exists for this domain, create one from the template:

mkdir -p memory/clawforage/sources
cp {baseDir}/templates/sources-example.md memory/clawforage/sources/{domain-slug}.md

Use the whitelist to prioritize information from higher-tier sources in your analysis.

Step 3: Extract Entities

Run entity extraction on the domain's articles:

bash {baseDir}/scripts/extract-entities.sh memory/knowledge/

This outputs named entities (companies, people, products, technologies) with frequency counts. Use this to identify the key players in the domain.

Step 4: Build Connections

Find cross-article relationships:

bash {baseDir}/scripts/build-connections.sh memory/knowledge/

This outputs:

  • Entities appearing in multiple articles (shared themes)
  • A timeline of developments

Use this to identify evolving stories and relationships.

Step 5: Write Domain Report

Create the output directory and write the report:

mkdir -p memory/research/{domain-slug}

Write to memory/research/{domain-slug}/report-{YYYY}-{WW}.md using the template from {baseDir}/templates/domain-report.md.

Your report MUST include these sections:

Key Developments

Synthesize the top 3-5 developments from this period. Don't just list articles — connect them into a narrative. What's the story of this domain this week?

Entity Map

List the key entities (companies, people, products) with:

  • Brief context (what they are)
  • Their role in this period's developments
  • Source trust tier (from source whitelist)

Connections

Based on the cross-article analysis:

  • Which entities appear together? What does that mean?
  • Are there evolving stories (same topic across multiple days)?
  • Any contradictions between sources?
  • What patterns emerge?

Outlook

Forward-looking analysis:

  • What trends are accelerating?
  • What should the user watch next?
  • Any predictions based on the data?

Sources

List all articles analyzed with dates, sources, and URLs.

Step 6: Validate Report

bash {baseDir}/scripts/validate-report.sh memory/research/{domain-slug}/report-{YYYY}-{WW}.md

Fix any validation errors.

Constraints

  • Read-only on knowledge articles: Never modify harvested content
  • Summaries only: Never reproduce more than 10 words from any source
  • Source attribution: Always cite sources and trust tiers
  • One domain per run: Process domains sequentially, one report each
  • Model: Uses your default configured model — no override needed
  • Same legal constraints: As Knowledge Harvester — licensed APIs, summaries only

适合场景

01

研究助手

02

事实核查

03

知识库问答

04

带来源的搜索总结

能力概览

能力 1

组合搜索和大模型调用

能力 2

支持多来源检索和总结

能力 3

强调引用来源和事实核查

能力 4

适合研究型 Agent 流程

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

89.94%
按下载量换算1,497

安全审计

VirusTotal

通过

ClawScan

通过

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。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

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