flow Security Audit Report

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flow is an AI agent skill, created by bvinci1-design and published at openclaw/skills. ClawSecure audited flow across 11 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 55/100 (Medium Risk). The 4 findings concentrate in Command Injection, Policy Violation and Permissions Manifest, including Pattern detected: eval( and Pattern detected: exec(. 2 were rated high or critical severity.

Is flow safe?

ClawSecure audited flow and assigned a security score of 55/100 (Medium Risk), identifying 4 findings across Command Injection and Policy Violation. Review the findings below before installing.

What did ClawSecure find in flow?

ClawSecure identified 4 findings in flow, concentrated in Command Injection, Policy Violation and Permissions Manifest. 2 were rated high or critical severity. The most severe include Pattern detected: eval( and Pattern detected: exec(.

How was flow audited?

ClawSecure ran flow through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 11 files from openclaw/skills.

What does a score of 55 mean?

ClawSecure assigned flow a security score of 55/100, placing it in the Medium Risk range. This reflects 4 findings led by Command 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 flow

ClawSecure detected 4 security findings in flow, spanning Command Injection, Policy Violation and Permissions Manifest.

critical · Pattern detected: eval(. Command Injection finding detected in skill_scanner_integration.py:50.
critical · Pattern detected: exec(. Command Injection finding detected in skill_scanner_integration.py:51.
medium · Missing config.json - agent may not be properly configured. Permissions Manifest finding.
info · Skill manifest does not include a 'license' field. Specifying a license.... Policy Violation finding detected in SKILL.md.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for flow

Harden command execution

flow constructs or runs system commands. Validate that commands are built only from trusted inputs, never pass user-controlled strings directly to a shell, and restrict execution to an allow-list of expected commands.

Resolve policy violations

flow trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.

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→Understanding Our 3-Layer Audit Protocol→OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security Standards→

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Scanned on February 7, 2026. flow 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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