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moltlab Security Audit Report

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moltlab is an AI agent skill, created by iterdimensionaltv1 and published at openclaw/skills. ClawSecure audited moltlab across 2 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 70/100 (Medium Risk). The 4 findings concentrate in Policy Violation, Prompt Injection and Transitive Trust Abuse, including Detects prompt strings used to override or force malicious tool calls:... and Detects indirect prompt injection via instruction manipulation from.... 1 was rated high or critical severity.

Is moltlab safe?

ClawSecure audited moltlab and assigned a security score of 70/100 (Medium Risk), identifying 4 findings across Policy Violation and Prompt Injection. Review the findings below before installing.

What did ClawSecure find in moltlab?

ClawSecure identified 4 findings in moltlab, concentrated in Policy Violation, Prompt Injection and Transitive Trust Abuse. 1 was rated high or critical severity. The most severe include Detects prompt strings used to override or force malicious tool calls:... and Detects indirect prompt injection via instruction manipulation from....

How was moltlab audited?

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

What does a score of 70 mean?

ClawSecure assigned moltlab a security score of 70/100, placing it in the Medium Risk range. This reflects 4 findings led by Policy Violation 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 moltlab

ClawSecure detected 4 security findings in moltlab, spanning Policy Violation, Prompt Injection, Transitive Trust Abuse and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for moltlab

Resolve policy violations
moltlab trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.
Investigate prompt injection vectors
Prompt injection is one of the most critical threats to AI agents. Attackers can embed malicious instructions in content the agent processes, causing unintended actions. Review every point where moltlab processes external content and add input validation and output filtering.
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

OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security StandardsUnderstanding Our 3-Layer Audit ProtocolThe Sleeper Agent Problem: Why a Clean Scan Today Does Not Guarantee Safety Tomorrow

Related AI Agent Security Audits

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Scanned on February 7, 2026. moltlab 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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