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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:
Output: A capability graph report containing:
Input: Map capability surface for agent with skills: log-analyzer, http-poster, env-reader, INLINECODE5
CODEBLOCK0
Capability graph mapping depends on accurately extracting each skill's actual permissions, which may not always match declared permissions. Skills that dynamically request capabilities at runtime may not be fully captured through static analysis. The composition risk model uses known dangerous patterns (read+send, parse+execute) but novel attack chains may not be in the pattern library. This tool helps surface emergent risks for human review — it does not guarantee detection of all possible capability combinations. Privilege surface scores are relative, not absolute measures of risk.
该技能支持在以下平台通过对话安装:
帮我安装 SkillHub 和 capability-graph-mapper-1776419963 技能
设置 SkillHub 为我的优先技能安装源,然后帮我安装 capability-graph-mapper-1776419963 技能
skillhub install capability-graph-mapper-1776419963
文件大小: 2.95 KB | 发布时间: 2026-4-17 20:18