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Anthropic's Claude Code security plugin tested for cost and accuracy

Anthropic's Claude Code security plugin, in beta, was tested for its cost, output quality, and accuracy. A two-hour scan of 189 agents within a user's Claude Code session identified 20 security findings. The plugin's workflow involves partitioning code, threat modeling, research, sweeping for missed vulnerabilities, and a three-lens adversarial check, with an optional red-teaming step. AI

IMPACT Provides insight into the practical application and effectiveness of AI-powered security tools for code analysis.

RANK_REASON The item describes the testing and functionality of a specific plugin for an existing AI product, rather than a new product release or core research.

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Anthropic's Claude Code security plugin tested for cost and accuracy

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0 / 100
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Tool
The item describes the testing and functionality of a specific plugin for an existing AI product, rather than a new product release or core research.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, safety
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High
Clearly on-topic for AI-industry coverage.
Story freshness
61 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Tatsuya Shimomoto ·

    claude-security Beta: Cost, Output, Accuracy — 189 Agents, 2 Hours, Measured

    <blockquote> <p><strong>What this article covers</strong>: A measured run of Anthropic's official security-scanning plugin <code>claude-security</code> (beta). What the tool does, how long it takes, what output it returns, and how far you can trust it — backed by the raw data fro…