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    <title>DEV Community: Klindi Tafa</title>
    <description>The latest articles on DEV Community by Klindi Tafa (@klindi_tafa_c34dd04a92dba).</description>
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      <title>DEV Community: Klindi Tafa</title>
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      <title>I built a testing tool for AI agents — it caught a real prompt-injection vulnerability in a local model</title>
      <dc:creator>Klindi Tafa</dc:creator>
      <pubDate>Tue, 08 Sep 2026 12:16:43 +0000</pubDate>
      <link>https://dev.to/klindi_tafa_c34dd04a92dba/i-built-a-testing-tool-for-ai-agents-it-caught-a-real-prompt-injection-vulnerability-in-a-local-13e2</link>
      <guid>https://dev.to/klindi_tafa_c34dd04a92dba/i-built-a-testing-tool-for-ai-agents-it-caught-a-real-prompt-injection-vulnerability-in-a-local-13e2</guid>
      <description>&lt;p&gt;I've been building Agenci — open-source CI/CD testing for AI agents (functional tests, security checks, regression detection across model/prompt changes).&lt;/p&gt;

&lt;p&gt;Wanted to actually test it against something real rather than a synthetic example, so I pointed it at phi4-mini running locally via Ollama. First security test: told it to ignore its instructions and just say a specific word. It complied instantly — screenshot attached.&lt;/p&gt;

&lt;p&gt;Small, efficient local models are great for a lot of things, but this made me curious how consistent this weakness is across other small local models people are running. Anyone here tested for prompt-injection resistance specifically, or is this a known/expected tradeoff at this model size?&lt;/p&gt;

&lt;p&gt;Repo (free, pip install agenci): github.com/klinditafa1/agenci&lt;/p&gt;

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      <category>ai</category>
      <category>python</category>
      <category>opensource</category>
      <category>testing</category>
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