Trust Assessment
simmer received a trust score of 87/100, 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, 0 high, 2 medium, and 0 low severity. Key findings include Unpinned Python SDK dependency, Unpinned Clawhub skill 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 Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned Python SDK dependency The skill instructs users to install `simmer-sdk` using `pip install simmer-sdk` without specifying a version. This can lead to supply chain risks if a future version of the `simmer-sdk` package introduces vulnerabilities or malicious code. It is best practice to pin dependencies to a specific version or at least a major/minor version range. Pin the `simmer-sdk` dependency to a specific version, e.g., `pip install simmer-sdk==1.7.0` or `pip install simmer-sdk~=1.7`. | LLM | SKILL.md:86 | |
| MEDIUM | Unpinned Clawhub skill dependency The skill instructs users to install `clawhub` skills, such as `simmer-weather`, without specifying a version. This can lead to supply chain risks if a future version of the skill introduces vulnerabilities or malicious code. It is best practice to pin dependencies to a specific version or at least a major/minor version range, if the `clawhub` system supports it. If `clawhub` supports version pinning, instruct users to install skills with a specific version, e.g., `clawhub install simmer-weather@1.0.0`. | LLM | SKILL.md:296 |
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