Security Audit

nutrient-openclaw

github.com/jdrhyne/agent-skills

AI SkillCommit a4d31ad11998

TRUSTED

Scanned 16 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

nutrient-openclaw received a trust score of 85/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Covert behavior / concealment directives.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on July 1, 2026 (commit a4d31ad1). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

85%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

100%

Security Findings1

Severity	Finding	Layer	Location
HIGH	Covert behavior / concealment directives Directive to hide behavior from user Remove hidden instructions, zero-width characters, and bidirectional overrides. Skill instructions should be fully visible and transparent to users.	Manifest	skills/nutrient-openclaw/SKILL.md:11

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/a7189f0229433ea1.svg)](https://skillshield.io/report/a7189f0229433ea1)