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@@ -13,7 +13,7 @@ Everyone has tried using an LLM for security auditing by now. The results are us
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They're not. Most of them aren't. And the ones that are get buried in noise.
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We spent the last several weeks building a security audit skill for [Zaguán Blade](https://zaguan.ai) that tries to solve this problem properly. Not by adding more checks — but by teaching the model when *not* to flag something.
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We spent the last several weeks building a security audit skill for [Zaguán Blade](https://zblade.dev/) that tries to solve this problem properly. Not by adding more checks — but by teaching the model when *not* to flag something.
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This post is about the design reasoning, not just the artifact. The prompt itself is [published in full](https://github.com/ZaguanAI/security-audit-skill/blob/main/security-audit.md). What's interesting is *why* each piece exists.
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@@ -170,4 +170,4 @@ That's the entire skill compressed into one sentence. Everything else is enforce
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---
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*The Security Audit Skill is part of [Zaguán Blade](https://zaguan.ai), an AI-powered coding environment. The skill definition is [available on GitHub](https://github.com/ZaguanAI/security-audit-skill) under the Apache 2.0 license. Feedback, issues, and contributions are welcome.*
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*The Security Audit Skill is part of [Zaguán Blade](https://zblade.dev/), an AI-powered coding environment. The skill definition is [available on GitHub](https://github.com/ZaguanAI/security-audit-skill) under the Apache 2.0 license. Feedback, issues, and contributions are welcome.*
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