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llmwhisperer Security Audit Report

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llmwhisperer is an AI agent skill, created by gumadeiras and published at openclaw/skills. ClawSecure audited llmwhisperer across 2 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 85/100 (Safe). The 3 findings concentrate in Policy Violation, Permissions Manifest and Malicious Code, including Attempts to access sensitive file: .clawdbot/.env and Missing config.json - agent may not be properly configured. 1 was rated high or critical severity.

Is llmwhisperer safe?

ClawSecure audited llmwhisperer and assigned a security score of 85/100 (Safe), identifying 3 findings across Policy Violation and Permissions Manifest. Review the findings below before installing.

What did ClawSecure find in llmwhisperer?

ClawSecure identified 3 findings in llmwhisperer, concentrated in Policy Violation, Permissions Manifest and Malicious Code. 1 was rated high or critical severity. The most severe include Attempts to access sensitive file: .clawdbot/.env and Missing config.json - agent may not be properly configured.

How was llmwhisperer audited?

ClawSecure ran llmwhisperer through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 2 files from openclaw/skills.

What does a score of 85 mean?

ClawSecure assigned llmwhisperer 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 llmwhisperer

ClawSecure detected 3 security findings in llmwhisperer, spanning Policy Violation, Permissions Manifest and Malicious Code.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for llmwhisperer

Resolve policy violations
llmwhisperer 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.
Audit external network connections
llmwhisperer connects to external endpoints. Verify every outbound connection goes to a trusted destination. Unauthorized callbacks are a primary indicator of ClawHavoc malware and data exfiltration. ClawSecure's proprietary engine monitors for known malicious endpoints including C2 infrastructure.
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

OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security Standards→Understanding Our 3-Layer Audit Protocol→How to Secure an MCP Server: The 2026 Guide→

Related AI Agent Security Audits

awesome-copilotScore 95/100uvScore 95/100kicad-source-mirrorScore 95/100GitNexusScore 75/100crewAIScore 85/100

Scanned on February 7, 2026. llmwhisperer 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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