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engram Security Audit Report

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engram is an AI agent skill, created by dannydvm and published at openclaw/skills. ClawSecure audited engram 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, Unauthorized Tool Use and Permissions Manifest, including Detects system manipulation, privilege escalation, and destructive file... and Missing config.json - agent may not be properly configured. 1 was rated high or critical severity.

Is engram safe?

ClawSecure audited engram and assigned a security score of 85/100 (Safe), identifying 3 findings across Policy Violation and Unauthorized Tool Use. Review the findings below before installing.

What did ClawSecure find in engram?

ClawSecure identified 3 findings in engram, concentrated in Policy Violation, Unauthorized Tool Use and Permissions Manifest. 1 was rated high or critical severity. The most severe include Detects system manipulation, privilege escalation, and destructive file... and Missing config.json - agent may not be properly configured.

How was engram audited?

ClawSecure ran engram 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 engram 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 engram

ClawSecure detected 3 security findings in engram, spanning Policy Violation, Unauthorized Tool Use and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for engram

Resolve policy violations
engram 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

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

Scanned on February 7, 2026. engram 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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