<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Posts on AI Radar — Дигт</title><link>https://ai.digt.ru/en/posts/</link><description>Recent content in Posts on AI Radar — Дигт</description><generator>Hugo -- gohugo.io</generator><language>ru-RU</language><copyright>© 2026 Дигт</copyright><lastBuildDate>Sun, 25 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai.digt.ru/en/posts/index.xml" rel="self" type="application/rss+xml"/><item><title>cloudflare/security-audit-skill</title><link>https://ai.digt.ru/en/posts/security-audit-skill/</link><pubDate>Sun, 25 Oct 2026 00:00:00 +0000</pubDate><guid>https://ai.digt.ru/en/posts/security-audit-skill/</guid><description>&lt;h1 class="relative group"&gt;Cloudflare Security Audit Skill: Verified Security Findings for AI Coding Agents&#10; &lt;div id="cloudflare-security-audit-skill-verified-security-findings-for-ai-coding-agents" class="anchor"&gt;&lt;/div&gt;&#10; &#10; &lt;span&#10; class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;&#10; &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#cloudflare-security-audit-skill-verified-security-findings-for-ai-coding-agents" aria-label="Якорь"&gt;#&lt;/a&gt;&#10; &lt;/span&gt;&#10; &#10;&lt;/h1&gt;&#10;&lt;p&gt;Security auditing is hard to do well, and even harder to automate. Most AI coding agents can spot obvious vulnerabilities, but they struggle with multi-phase analysis, independent verification, and producing findings that downstream tools can actually consume. Cloudflare&amp;rsquo;s &lt;code&gt;security-audit-skill&lt;/code&gt; addresses this gap directly.&lt;/p&gt;&#10;&#10;&lt;h2 class="relative group"&gt;What It Is&#10; &lt;div id="what-it-is" class="anchor"&gt;&lt;/div&gt;&#10; &#10; &lt;span&#10; class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;&#10; &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#what-it-is" aria-label="Якорь"&gt;#&lt;/a&gt;&#10; &lt;/span&gt;&#10; &#10;&lt;/h2&gt;&#10;&lt;p&gt;&lt;code&gt;cloudflare/security-audit-skill&lt;/code&gt; is a structured skill for coding agents that guides them through a rigorous, multi-phase security audit process. Instead of a single pass over the codebase, the skill breaks the audit into distinct stages: reconnaissance, threat modeling, vulnerability identification, exploitation testing, and remediation planning.&lt;/p&gt;</description></item><item><title>makecindy/cindy</title><link>https://ai.digt.ru/en/posts/cindy/</link><pubDate>Sun, 25 Oct 2026 00:00:00 +0000</pubDate><guid>https://ai.digt.ru/en/posts/cindy/</guid><description>&lt;h1 class="relative group"&gt;Consider It Done: Meet Cindy, the Open-Source AI Agent That Works Out of the Box&#10; &lt;div id="consider-it-done-meet-cindy-the-open-source-ai-agent-that-works-out-of-the-box" class="anchor"&gt;&lt;/div&gt;&#10; &#10; &lt;span&#10; class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;&#10; &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#consider-it-done-meet-cindy-the-open-source-ai-agent-that-works-out-of-the-box" aria-label="Якорь"&gt;#&lt;/a&gt;&#10; &lt;/span&gt;&#10; &#10;&lt;/h1&gt;&#10;&lt;p&gt;The gap between &amp;ldquo;AI can do that&amp;rdquo; and &amp;ldquo;AI just did that&amp;rdquo; is still wider than most of us would like. Cindy is an open-source AI agent designed to close that gap. Its tagline says it all: &lt;em&gt;想到，就能做到&lt;/em&gt; — &amp;ldquo;Think it, and it&amp;rsquo;s done.&amp;rdquo; No lengthy setup, no fragile toolchains, no secret sauce required.&lt;/p&gt;</description></item><item><title>TauricResearch/TradingAgents</title><link>https://ai.digt.ru/en/posts/tradingagents/</link><pubDate>Sun, 25 Oct 2026 00:00:00 +0000</pubDate><guid>https://ai.digt.ru/en/posts/tradingagents/</guid><description>&lt;h1 class="relative group"&gt;TradingAgents: Multi-Agent LLM Framework for Financial Trading&#10; &lt;div id="tradingagents-multi-agent-llm-framework-for-financial-trading" class="anchor"&gt;&lt;/div&gt;&#10; &#10; &lt;span&#10; class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;&#10; &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#tradingagents-multi-agent-llm-framework-for-financial-trading" aria-label="Якорь"&gt;#&lt;/a&gt;&#10; &lt;/span&gt;&#10; &#10;&lt;/h1&gt;&#10;&lt;p&gt;TradingAgents is an open-source framework from TauricResearch that brings large language models into the world of financial trading through a structured multi-agent system. Instead of relying on a single model to make trading decisions, TradingAgents simulates a full trading firm where specialized agents collaborate, debate, and refine their analysis before arriving at a decision.&lt;/p&gt;</description></item></channel></rss>