Trust Assessment
branch-namer received a trust score of 94/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Unpinned `npx` dependency.
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 12, 2026 (commit 5acc5677). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned `npx` dependency The skill instructs users to execute `npx ai-branch` without specifying a version. This means that `npx` will always fetch and execute the latest version of the `ai-branch` package from the npm registry. If a malicious update is published to `ai-branch`, users following this instruction could unknowingly execute compromised code, leading to supply chain attacks. Recommend pinning the dependency to a specific major or minor version, e.g., `npx ai-branch@1.x` or `npx ai-branch@1.2.3`, to prevent automatic execution of potentially malicious future updates. | LLM | SKILL.md:10 |
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