Trust Assessment
crewmind-bets received a trust score of 90/100, 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 1 low severity. Key findings include Missing required field: name, Unpinned npm 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 14, 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/vladthecto/crewmind-bets/SKILL.md:1 | |
| LOW | Unpinned npm dependencies The `npm install` command lists dependencies without specific version pinning. This can lead to unexpected behavior, compatibility issues, or security vulnerabilities if a dependency introduces breaking changes or malicious code in a future version. It is best practice to pin dependencies to specific versions or use a lock file. Pin dependencies to specific versions (e.g., `npm install @solana/web3.js@^1.x.x @coral-xyz/anchor@^0.x.x dotenv@^16.x.x`) or use a lock file (e.g., `package-lock.json` or `yarn.lock`) to ensure consistent and secure dependency resolution. | LLM | SKILL.md:8 |
Scan History
Embed Code
[](https://skillshield.io/report/f632ae6f5986e9f3)
Powered by SkillShield