Trust Assessment
ralph-tools received a trust score of 79/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Missing required field: name, Path Traversal Attempt in Skill Content.
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 February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Path Traversal Attempt in Skill Content The skill's primary content specifies a relative path (`../../../crates/ralph-core/data/ralph-tools.md`) that attempts to traverse directories outside of the skill's designated root. If the skill execution environment processes this path as a file to be loaded or included, it could lead to the skill accessing or loading unintended content from arbitrary locations on the filesystem. This could result in data exfiltration, exposure of sensitive information, or the injection of malicious instructions from an external file. Restrict skill content to paths strictly within the skill's own directory. Implement robust path validation and sanitization to prevent directory traversal attacks. Ensure that any file loading mechanisms do not resolve paths outside of an allowed base directory. | LLM | SKILL.md:1 | |
| MEDIUM | Missing required field: name The 'name' field is required for claude_code skills but is missing from frontmatter. Add a 'name' field to the SKILL.md frontmatter. | Static | skills/paulpete/ralph-tools/SKILL.md:1 |
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