Trust Assessment
simmer 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 Python Package 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 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned Python Package Dependency The skill instructs the installation of the 'simmer-sdk' Python package without specifying a version. This can lead to supply chain risks where a future, potentially malicious or vulnerable, version of the package could be installed automatically, compromising the agent's security or stability. Pin the dependency to a specific, known-good version (e.g., `pip install simmer-sdk==1.12.0`) or at least a major version range (e.g., `pip install 'simmer-sdk<2.0.0'`) to prevent unexpected or malicious updates. | LLM | skill.md:80 |
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