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airbnb-search Security Audit Report

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airbnb-search is an AI agent skill, created by awlevin and published at openclaw/skills. ClawSecure audited airbnb-search across 15 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 65/100 (Medium Risk). The 5 findings concentrate in Code Injection, Data Exfiltration and Unauthorized Tool Use, including Potentially dangerous code pattern detected: curl.*\|.*sh and Potentially dangerous code pattern detected: curl.*\|.*sh. 2 were rated high or critical severity.

Is airbnb-search safe?

ClawSecure audited airbnb-search and assigned a security score of 65/100 (Medium Risk), identifying 5 findings across Code Injection and Data Exfiltration. Review the findings below before installing.

What did ClawSecure find in airbnb-search?

ClawSecure identified 5 findings in airbnb-search, concentrated in Code Injection, Data Exfiltration and Unauthorized Tool Use. 2 were rated high or critical severity. The most severe include Potentially dangerous code pattern detected: curl.*\|.*sh and Potentially dangerous code pattern detected: curl.*\|.*sh.

How was airbnb-search audited?

ClawSecure ran airbnb-search through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 15 files from openclaw/skills.

What does a score of 65 mean?

ClawSecure assigned airbnb-search a security score of 65/100, placing it in the Medium Risk range. This reflects 5 findings led by Code Injection that warrant review before production 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 airbnb-search

ClawSecure detected 5 security findings in airbnb-search, spanning Code Injection, Data Exfiltration, Unauthorized Tool Use and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for airbnb-search

Eliminate dynamic code execution
airbnb-search 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.
Audit external network connections
airbnb-search sends data to external endpoints. Confirm each destination is expected and authorized, and remove any callback that exfiltrates data. ClawSecure monitors for known exfiltration and C2 endpoints.
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 Security→Beyond Static Scans: Why ClawSecure Verifies Agentic Intent→ClawHavoc Explained: The Malware Family Targeting AI Agents→

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Scanned on February 13, 2026. airbnb-search 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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