stock-data-skill
OpenClaw Skill for stock data analysis
Helps map the composite permission surface across AI agent skill dependency chains. Traces what each skill can do individually, then computes what they can do together — revealing emergent capabilities nobody explicitly approved.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install andyxinweiminicloud/capability-graph-mapperExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Helps map composite permission surfaces across skill dependency chains, revealing emergent capabilities that no single skill declares.
Individual skill permissions look reasonable in isolation. A file-reader skill reads files. An HTTP client skill sends requests. A JSON parser skill transforms data. Each one passes a security review on its own.
But install all three in the same agent, and you've built a data exfiltration pipeline — read sensitive files, parse out credentials, send them to an external endpoint. Nobody approved that combination. Nobody even noticed it exists.
In traditional software, tools like npm audit map dependency trees and flag known vulnerabilities. In agent ecosystems, the risk isn't in individual dependencies — it's in the composite capability surface that emerges when skills combine. There is no npm audit for emergent agent capabilities.
This mapper traces the permission graph across an agent's installed skills:
Input: Provide one of:
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Your Agent Has 12 Skills — Do You Know What They Can Do Together? > Helps map composite permission surfaces across skill dependency chains, revealing emergent capabilities that no single skill declares. ## Problem Individual skill permissions look reasonable in isolation. A file-reader skill reads files. An HTTP client skill sends requests. A JSON parser skill transforms data. Each one passes a security review on its own. But install all three in the same agent, and you've built a data exfiltration pipeline — read sensitive files, parse out credentials, send them to an external endpoint. Nobody approved that combination. Nobody even noticed it exists. In traditional software, tools like `npm audit` map dependency trees and flag known vulnerabilities. In agent ecosystems, the risk isn't in individual dependencies — it's in the **composite capability surface** that emerges when skills combine. There is no `npm audit` for emergent agent capabilities. ## What This Maps This mapper traces the permission graph across an agent's installed skills: 1. **Permission enumeration** — For each skill, extract declared capabilities: file access, network requests, shell execution, environment variable reads, credential access 2. **Pairwise composition** — For every pair of skills, check if their combined capabilities create a new emergent capability (e.g., read + send = exfiltrate) 3. **Transitive chains** — Trace three-hop and deeper composition paths where skill A feeds skill B feeds skill C, creating capabilities invisible at any single hop 4. **Privilege surface score** — Compute a single metric: how many distinct dangerous capability combinations exist in this agent's skill set? 5. **Delta analysis** — When a new skill is added, show what new composite capabilities it introduces to the existing set ## How to Use **Input**: Provide one of: - A list of skill names/slugs installed in an agent - A skill manifest or configuration file - A singl...
OpenClaw Skill for stock data analysis
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139邮箱邮件收发 Skill - 支持 IMAP/SMTP 协议,兼容139/QQ/163/Gmail等主流邮箱 功能: 1. 发送邮件(SMTP) 2. 接收邮件(IMAP) 3. 查看收件箱列表 4. 查看未读邮件 当用户提到 "发邮件"、"收邮件"、"查看邮件"、"邮箱"...
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