Trust Assessment
price-api received a trust score of 93/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Missing required field: name, Unpinned Third-Party Dependencies.
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/datadrivenconstruction/price-api/SKILL.md:1 | |
| INFO | Unpinned Third-Party Dependencies The skill uses third-party libraries (`requests`, `pandas`) without specifying exact versions. This can lead to unexpected behavior, compatibility issues, or security vulnerabilities if a new version introduces breaking changes or exploits. Best practice is to pin dependencies to specific versions to ensure consistent and secure execution environments. Specify exact versions for all third-party dependencies (e.g., `requests==2.28.1`, `pandas==1.5.3`) in a `requirements.txt` or similar configuration file, or directly in the skill's environment setup if applicable. | LLM | SKILL.md:14 |
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