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decision-trees Security Audit Report

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decision-trees is an AI agent skill, created by evgyur and published at openclaw/skills. ClawSecure audited decision-trees across 4 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 90/100 (Safe). The 3 findings concentrate in Policy Violation, Skill Discovery Abuse and Permissions Manifest, including Detects protocol manipulation via capability inflation in skill... and Missing config.json - agent may not be properly configured. None were rated high or critical severity.

Is decision-trees safe?

ClawSecure audited decision-trees and assigned a security score of 90/100 (Safe), identifying 3 findings across Policy Violation and Skill Discovery Abuse. Review the findings below before installing.

What did ClawSecure find in decision-trees?

ClawSecure identified 3 findings in decision-trees, concentrated in Policy Violation, Skill Discovery Abuse and Permissions Manifest. The most severe include Detects protocol manipulation via capability inflation in skill... and Missing config.json - agent may not be properly configured.

How was decision-trees audited?

ClawSecure ran decision-trees through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 4 files from openclaw/skills.

What does a score of 90 mean?

ClawSecure assigned decision-trees a security score of 90/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status; the 3 findings detected are lower-severity. 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 decision-trees

ClawSecure detected 3 security findings in decision-trees, spanning Policy Violation, Skill Discovery Abuse and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for decision-trees

Resolve policy violations
decision-trees 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

OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security StandardsUnderstanding Our 3-Layer Audit ProtocolHow to Secure an MCP Server: The 2026 Guide

Related AI Agent Security Audits

GitNexusScore 75/100antigravity-awesome-skillsScore 75/100jeffallan/claude-skillsScore 95/100awesome-copilotScore 95/100planoScore 85/100

Scanned on February 7, 2026. decision-trees 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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