Trust Assessment
expanso-sentiment-score received a trust score of 88/100, 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 Missing required field: name, Reliance on remote, unverified pipeline for deployment.
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 Findings2
| 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/aronchick/expanso-sentiment-score/SKILL.md:1 | |
| MEDIUM | Reliance on remote, unverified pipeline for deployment The skill's deployment instructions direct users to fetch and deploy a pipeline configuration directly from a remote URL (`https://skills.expanso.io/sentiment-score/pipeline-cli.yaml`). This introduces a supply chain risk, as the integrity of the remote server and the content hosted there cannot be guaranteed. If `skills.expanso.io` were compromised, a malicious pipeline could be served and deployed to the user's environment, potentially leading to arbitrary code execution or data exfiltration. To mitigate this supply chain risk, consider deploying the pipeline from a local, verified file rather than a remote URL. If remote deployment is necessary, ensure the platform supports content-addressable deployment (e.g., by hash or specific version tag) to guarantee the integrity and immutability of the deployed configuration. Alternatively, provide instructions for users to manually download and verify the YAML file before deployment. | LLM | SKILL.md:26 |
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