knowledge-base Security Audit Report

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knowledge-base is an AI agent skill, created by globalcaos and published at openclaw/skills. ClawSecure audited knowledge-base across 7 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 5 findings concentrate in Data Exfiltration, Policy Violation and Command Injection, including Pattern detected: f" Documents matching 'project' (LIKE): {len(result)} and Pattern detected: open(json_path). 3 were rated high or critical severity.

Is knowledge-base safe?

ClawSecure audited knowledge-base and assigned a security score of 55/100 (Medium Risk), identifying 5 findings across Data Exfiltration and Policy Violation. Review the findings below before installing.

What did ClawSecure find in knowledge-base?

ClawSecure identified 5 findings in knowledge-base, concentrated in Data Exfiltration, Policy Violation and Command Injection. 3 were rated high or critical severity. The most severe include Pattern detected: f" Documents matching 'project' (LIKE): {len(result)} and Pattern detected: open(json_path).

How was knowledge-base audited?

ClawSecure ran knowledge-base through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 7 files from openclaw/skills.

What does a score of 55 mean?

ClawSecure assigned knowledge-base a security score of 55/100, placing it in the Medium Risk range. This reflects 5 findings led by Data Exfiltration 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 knowledge-base

ClawSecure detected 5 security findings in knowledge-base, spanning Data Exfiltration, Policy Violation, Command Injection and Permissions Manifest.

critical · Pattern detected: f" Documents matching 'project' (LIKE): {len(result)}. Command Injection finding detected in scripts/init_db.py:321.
high · Pattern detected: open(json_path). Data Exfiltration finding detected in scripts/init_db.py:140.
high · Pattern detected: open(export_path). Data Exfiltration finding detected in scripts/init_db.py:221.
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 knowledge-base

Audit external network connections

knowledge-base 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.

Resolve policy violations

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

Harden command execution

knowledge-base 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.

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.

Related Security Research

ClawHavoc Explained: The Malware Family Targeting AI Agents→Beyond Static Scans: Why ClawSecure Verifies Agentic Intent→OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security Standards→

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Scanned on February 7, 2026. knowledge-base 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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