Trust Assessment
expanso-csv-to-json 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, Unpinned remote pipeline 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-csv-to-json/SKILL.md:1 | |
| MEDIUM | Unpinned remote pipeline deployment The skill's deployment instructions fetch a pipeline configuration (`pipeline-cli.yaml`) directly from an external URL (`https://skills.expanso.io/csv-to-json/pipeline-cli.yaml`) without any mechanism to verify its integrity (e.g., a cryptographic hash, version pinning, or digital signature). This introduces a supply chain risk, as a compromise of the remote server or the specific URL could lead to the deployment of malicious or altered code into the user's environment. Implement integrity checks for remote resources, such as cryptographic hashes, version pinning, or signed manifests. Consider bundling the `pipeline-cli.yaml` directly with the skill package if possible, or using a trusted content delivery network with strong integrity guarantees. | LLM | SKILL.md:23 |
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