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parallel-ai-research Security Audit Report

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parallel-ai-research is an AI agent skill, created by brennerspear and published at openclaw/skills. ClawSecure audited parallel-ai-research across 3 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 85/100 (Safe). The 2 findings concentrate in Permissions Manifest and Code Injection, including Potentially dangerous code pattern detected: curl.*\|.*sh and Missing config.json - agent may not be properly configured. 1 was rated high or critical severity.

Is parallel-ai-research safe?

ClawSecure audited parallel-ai-research and assigned a security score of 85/100 (Safe), identifying 2 findings across Permissions Manifest and Code Injection. Review the findings below before installing.

What did ClawSecure find in parallel-ai-research?

ClawSecure identified 2 findings in parallel-ai-research, concentrated in Permissions Manifest and Code Injection. 1 was rated high or critical severity. The most severe include Potentially dangerous code pattern detected: curl.*\|.*sh and Missing config.json - agent may not be properly configured.

How was parallel-ai-research audited?

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

What does a score of 85 mean?

ClawSecure assigned parallel-ai-research a security score of 85/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status, though 1 finding was rated high or critical and warrants review. 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 parallel-ai-research

ClawSecure detected 2 security findings in parallel-ai-research, spanning Permissions Manifest and Code Injection.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for parallel-ai-research

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.
Eliminate dynamic code execution
parallel-ai-research 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.
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.

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Scanned on February 7, 2026. parallel-ai-research 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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