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clawhub-mem-research
by
liuxin-lixiang
· GitHub ↗
· v1.0.0
· MIT-0
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Install in OpenClaw
/install clawhub-mem-research
Description
专门用于从 ClawHub.ai 抓取、筛选并调研与“记忆（Memory/Mem）”相关的最新 OpenClaw Skill。该 Skill 能够自动识别指定日期的更新，判断 Skill 与记忆功能的相关性，并生成结构化的技术调研报告。适用场景：(1) 追踪 ClawHub 上的记忆技术趋势，(2) 自动化生成特...
README (SKILL.md)
ClawHub 记忆技术调研工具 (ClawHub Mem Research)
本 Skill 用于自动化调研 ClawHub 上与记忆相关的最新技术。
工作流程
-
访问与搜索： 使用浏览器访问
https://clawhub.ai/skills?sort=updated&dir=desc&nonSuspicious=true&q=memory。 -
筛选准则：
- 数量限制：仅读取前 3 条结果。
- 相关性判断：通过标题和摘要判断该 Skill 是否真正属于“记忆增强/管理”范畴（如：存储事实、遗忘曲线、向量检索、内存压缩等）。如果只是名字包含 mem 但功能无关（如 Member 管理），则跳过。
-
深度调研： 对于符合条件的每一个 Skill，点击进入详情页，重点阅读
SKILL.md或README.md，提取核心功能和技术实现细节。 -
报告生成： 按照以下固定格式为每个技术生成摘要，并汇总成 Markdown 文件。
报告格式
每个技术项应包含以下详细结构，内容应根据 Skill 的实际技术特性灵活组织：
[序号]. [技术名称]
—— [一句话副标题/定位描述]
-
核心功能： 深入描述该技术的核心作用、解决的痛点以及应用场景（如：模拟 REM 睡眠、遗忘曲线管理等）。
-
技术要点：
- 根据 Skill 的实际实现，提取其最关键的技术特征。
- 采用分点/小标题形式（如：动态强度衰减算法、本地向量化检索等）。
- 详细解释实现逻辑、算法公式、触发机制、存储方式或控制指令。
- 不要生搬硬套固定模板，应以最能体现该技术价值的方式展示其技术细节。
-
SKILL链接：技术名称 (版本号)
输出要求
- 语言：必须使用中文编写报告。
- 存储：调研完成后，将生成的报告保存到
report_v1/YYYY-MM-DD目录下，文件命名格式为clawhub-mem-research.md（YYYY-MM-DD 为调研的目标更新日期）。
Usage Guidance
This skill appears coherent and limited: it will browse the specified ClawHub search page, read up to 3 skills' SKILL.md/README content, produce a Chinese Markdown report, and save it to a local report_v1/YYYY-MM-DD directory. Before enabling or running it, confirm the agent has (1) a web-browsing capability to access clawhub.ai, and (2) permission to write files to the agent runtime filesystem. Be aware that the skill will read arbitrary third-party SKILL.md/README contents (which may contain links or pasted content); it does not request credentials or ask to execute code, but you should ensure the agent does not follow or execute third-party links unless you trust them. If you need stricter limits, require manual approval before the agent fetches external pages or change the save location/filename policy.
Capability Analysis
Type: OpenClaw Skill
Name: clawhub-mem-research
Version: 1.0.0
The skill is a research tool designed to automate the discovery and summarization of memory-related plugins on ClawHub.ai. The instructions in SKILL.md direct the agent to browse a legitimate domain (clawhub.ai), filter results, and save a structured Markdown report to a local directory. There is no evidence of data exfiltration, malicious command execution, or prompt injection intended to subvert the agent's security boundaries.
Capability Assessment
Purpose & Capability
Name and description claim to scrape and research memory-related OpenClaw skills; the SKILL.md instructs exactly that (visit a clawhub.ai search URL, inspect top 3 results, read their SKILL.md/README, and summarize). No unrelated env vars, binaries, or installs are requested.
Instruction Scope
Instructions are narrowly scoped to visiting the specified ClawHub search URL, filtering the first 3 results for relevance, reading SKILL.md/README of each, extracting technical details, and writing a Markdown report to report_v1/YYYY-MM-DD/clawhub-mem-research.md. Minor note: it directs the agent to read arbitrary third-party SKILL.md/README files (expected for this purpose) — those files may contain any content, links, or code snippets; the skill does not instruct executing any code found, only reading and summarizing.
Install Mechanism
No install spec and no code files are present — instruction-only skill. This is the lowest-risk install surface and consistent with the described functionality.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate for a web-scraping / research task that targets a public site.
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes or modify other skills. It does direct the agent to write an output file to a local directory (report_v1/YYYY-MM-DD), which is expected for a reporting tool.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install clawhub-mem-research - After installation, invoke the skill by name or use
/clawhub-mem-research - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
clawhub-mem-research v1.0.0 发布说明
- 新增自动化调研工具，用于筛选和分析 ClawHub 上与“记忆（Memory/Mem）”相关的最新技能。
- 支持仅读取并处理最近更新的前 3 个技能，并依据内容相关性进一步筛选。
- 自动访问技能详情页，解析 SKILL.md/README.md，提取功能及关键技术点。
- 统一生成结构化、中文 Markdown 技术调研报告，涵盖核心功能、技术要点及来源链接。
- 适用于追踪 ClawHub 记忆技术发展趋势、生成日报及深度分析特定插件。
Metadata
Frequently Asked Questions
What is clawhub-mem-research?
专门用于从 ClawHub.ai 抓取、筛选并调研与“记忆（Memory/Mem）”相关的最新 OpenClaw Skill。该 Skill 能够自动识别指定日期的更新，判断 Skill 与记忆功能的相关性，并生成结构化的技术调研报告。适用场景：(1) 追踪 ClawHub 上的记忆技术趋势，(2) 自动化生成特... It is an AI Agent Skill for Claude Code / OpenClaw, with 77 downloads so far.
How do I install clawhub-mem-research?
Run "/install clawhub-mem-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is clawhub-mem-research free?
Yes, clawhub-mem-research is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does clawhub-mem-research support?
clawhub-mem-research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created clawhub-mem-research?
It is built and maintained by liuxin-lixiang (@liuxin-lixiang); the current version is v1.0.0.
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