Trust Assessment
workspace received a trust score of 83/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 3 findings: 0 critical, 0 high, 2 medium, and 1 low severity. Key findings include Missing required field: name, Unpinned npm dependency version, Skill requires file system write access.
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 Findings3
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| 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/massiveadam/workspace/SKILL.md:1 | |
| MEDIUM | Unpinned npm dependency version Dependency 'clawdhub' is not pinned to an exact version ('^0.3.0'). Pin dependencies to exact versions to reduce drift and supply-chain risk. | Dependencies | skills/massiveadam/workspace/package.json | |
| LOW | Skill requires file system write access The skill description explicitly states that it uses `read` and `write` tools to manage daily notes within the `OBSIDIAN_VAULT_PATH`. While this functionality is central to the skill's purpose, granting an AI agent skill direct file system write access introduces a potential risk. A compromised skill could manipulate, delete, or introduce malicious content into files within its configured vault path. Ensure that the `read` and `write` tools are strictly sandboxed to the `OBSIDIAN_VAULT_PATH` and that the agent's permissions are minimized to only what is absolutely necessary. Implement robust input validation and sanitization for any data written to files to prevent injection of malicious content. | LLM | SKILL.md:30 |
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