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anthropic-cookbook Security Audit Report

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anthropic-cookbook is an AI agent skill, created by anthropics and published at anthropics/anthropic-cookbook. ClawSecure audited anthropic-cookbook across 108 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 55/100 (Warning). The 5 findings concentrate in Code Injection and Permissions Manifest, including Potentially dangerous code pattern detected: curl.*\|.*sh and Potentially dangerous code pattern detected: eval\(. 4 were rated high or critical severity.

Is anthropic-cookbook safe?

ClawSecure audited anthropic-cookbook and assigned a security score of 55/100 (Warning), identifying 5 findings across Code Injection and Permissions Manifest. Review the findings below before installing.

What did ClawSecure find in anthropic-cookbook?

ClawSecure identified 5 findings in anthropic-cookbook, concentrated in Code Injection and Permissions Manifest. 4 were rated high or critical severity. The most severe include Potentially dangerous code pattern detected: curl.*\|.*sh and Potentially dangerous code pattern detected: eval\(.

How was anthropic-cookbook audited?

ClawSecure ran anthropic-cookbook through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 108 files from anthropics/anthropic-cookbook.

What does a score of 55 mean?

ClawSecure assigned anthropic-cookbook a security score of 55/100, placing it in the Warning range. This is driven by 5 findings led by Code Injection that should be addressed before use. ClawSecure derives this score with a weighted deduction model (critical -20, high -10, medium -5, low -2 from a base of 100).

Audit Findings for anthropic-cookbook

ClawSecure detected 5 security findings in anthropic-cookbook, spanning Code Injection and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for anthropic-cookbook

Eliminate dynamic code execution
anthropic-cookbook evaluates code at runtime (for example eval or dynamic exec). Remove dynamic evaluation of untrusted input, and where code generation is unavoidable, sandbox it and validate every input.
Add a config.json permissions manifest
A config.json file declares what an agent component can access: file system, network, shell execution and more. Without it, users have no visibility into what the component can do before installing. This is the single most impactful security improvement for any AI agent skill.
Pin dependencies to exact versions
Unpinned dependencies allow supply-chain attacks where a compromised version is pulled in automatically. Use exact version numbers in package.json (for example 1.2.3 instead of ^1.2.3) to keep unauthorized code out of your dependency tree. ClawSecure checks every dependency against known CVE databases.

Related Security Research

Why Generic Scanners Fail at AI Agent Securityโ†’Beyond Static Scans: Why ClawSecure Verifies Agentic Intentโ†’How to Secure an MCP Server: The 2026 Guideโ†’

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Scanned on September 25, 2026. anthropic-cookbook is one of thousands of agents audited by ClawSecure from the community-curated awesome-openclaw-skills list and the openclaw/skills repository.

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