<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Capability-Flow on CuraSec</title><link>https://curasec.metacog.co.kr/tags/capability-flow/</link><description>Recent content in Capability-Flow on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 26 Oct 2026 18:39:19 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/capability-flow/index.xml" rel="self" type="application/rss+xml"/><item><title>KnotScryer: Detecting Insecure AI Agent Skill Composition via Flow Graphs</title><link>https://curasec.metacog.co.kr/insights/2026-10-26-detecting-insecure-compositions-of-clean-agent-skills-via-ca/</link><pubDate>Mon, 26 Oct 2026 18:39:19 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-10-26-detecting-insecure-compositions-of-clean-agent-skills-via-ca/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Learn:&lt;/strong> Novel finding that combining individually benign AI agent skills can create security-violation chains at runtime, a gap current malicious-skill scanners miss. No immediate patch exists; architects building agent platforms with third-party skill ecosystems should review orchestration trust boundaries in their design.&lt;/li>
&lt;li>&lt;strong>SOC/IR — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Academic research revealing a design-time risk in AI agent skill marketplaces — relevant context if your organization is evaluating or deploying agentic AI platforms, as vetting individual skills may be insufficient without compositional analysis.&lt;/li>
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