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molters-confessions Security Audit Report

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molters-confessions is an AI agent skill, created by e-man07 and published at openclaw/skills. ClawSecure audited molters-confessions across 3 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 80/100 (Safe). The 4 findings concentrate in Policy Violation, Skill Discovery Abuse and Permissions Manifest, including Potentially dangerous code pattern detected: base64.*decode and Detects protocol manipulation via capability inflation in skill.... 1 was rated high or critical severity.

Is molters-confessions safe?

ClawSecure audited molters-confessions and assigned a security score of 80/100 (Safe), identifying 4 findings across Policy Violation and Skill Discovery Abuse. Review the findings below before installing.

What did ClawSecure find in molters-confessions?

ClawSecure identified 4 findings in molters-confessions, concentrated in Policy Violation, Skill Discovery Abuse and Permissions Manifest. 1 was rated high or critical severity. The most severe include Potentially dangerous code pattern detected: base64.*decode and Detects protocol manipulation via capability inflation in skill....

How was molters-confessions audited?

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

What does a score of 80 mean?

ClawSecure assigned molters-confessions a security score of 80/100, 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 molters-confessions

ClawSecure detected 4 security findings in molters-confessions, spanning Policy Violation, Skill Discovery Abuse, Permissions Manifest and Code Injection.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for molters-confessions

Resolve policy violations
molters-confessions 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.
Eliminate dynamic code execution
molters-confessions 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.

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

aitorScore 81/1003f5bb9462d7cb920Score 75/100b4abd97bcb77151aScore 75/100clawdhubScore 75/100mission-controlScore 83/100

Scanned on February 7, 2026. molters-confessions 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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