Security Audit

sundial-org/awesome-openclaw-skills:skills/apple-notes

github.com/sundial-org/awesome-openclaw-skills

AI SkillCommit 6d998e005da6

CAUTION

Scanned 27 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

sundial-org/awesome-openclaw-skills:skills/apple-notes received a trust score of 56/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Unpinned external dependency via Homebrew.

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 March 3, 2026 (commit 6d998e00). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Network Access

1 finding

Shell Execution

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Unpinned external dependency via Homebrew The skill relies on the `memo` CLI tool, which is installed via Homebrew using the formula `antoniorodr/memo/memo`. The installation instruction in the manifest does not specify a version or commit hash for the dependency. This means that any future update to the `antoniorodr/memo` Homebrew tap or the `memo` formula could introduce malicious code or vulnerabilities without explicit review. This creates a significant supply chain risk, as a compromised `memo` tool could gain extensive access to user's Apple Notes data and potentially execute arbitrary commands on the system. Pin the version of the `memo` tool in the Homebrew formula or installation instructions to a specific, known-good release (e.g., by specifying a tag or commit hash if Homebrew supports it, or by using a specific URL to a tarball). Regularly audit the upstream `antoniorodr/memo` repository for security vulnerabilities. Consider vendoring the dependency or using a more controlled installation method if possible.	LLM	manifest.json:1

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/c95a90b0f3be6d8e.svg)](https://skillshield.io/report/c95a90b0f3be6d8e)