Trust Assessment
sog received a trust score of 97/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 0 medium, and 1 low severity. Key findings include Unpinned dependency in installation.
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
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| LOW | Unpinned dependency in installation The skill's installation instruction uses `@latest` for the Go package version. This means the installed version is not pinned to a specific release or commit hash. If a malicious or buggy version is pushed to the `latest` tag in the upstream repository (`github.com/visionik/sogcli`), it could be inadvertently installed, leading to unexpected behavior or security vulnerabilities. Pin the dependency to a specific version or commit hash (e.g., `github.com/visionik/sogcli/cmd/sog@v1.2.3` or `github.com/visionik/sogcli/cmd/sog@<commit_hash>`) to ensure deterministic and secure installations. | LLM | SKILL.md |
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