Trust Assessment
qmd received a trust score of 86/100, 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 Unpinned dependency in skill installation package.
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 Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Unpinned dependency in skill installation package The skill manifest specifies a package URL for installation (`https://github.com/tobi/qmd`) without a specific version, commit hash, or immutable tag. This allows the remote repository owner to change the code that gets installed without the skill manifest being updated, introducing a significant supply chain risk where malicious code could be injected. Pin the dependency to a specific commit hash or immutable tag (e.g., `https://github.com/tobi/qmd/archive/<commit_hash>.zip` or `https://github.com/tobi/qmd/releases/download/v1.0.0/qmd.zip`) to ensure deterministic and secure installations. | LLM | SKILL.md:1 |
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