Trust Assessment
ai-news-oracle received a trust score of 86/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Unpinned GitHub dependency in installation instructions.
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 Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Unpinned GitHub dependency in installation instructions The skill's installation instructions specify a direct GitHub repository URL without pinning to a specific version, commit hash, or tag. This means that future installations will always pull the latest code from the default branch. If the upstream repository is compromised or the maintainer introduces malicious changes, users could unknowingly install and execute arbitrary malicious code, leading to a supply chain attack. Recommend pinning the dependency to a specific version tag or commit hash (e.g., `https://github.com/swimmingkiim/openclaw-skill-ai-news-oracle@v1.0.0` or `@<commit_hash>`) to ensure deterministic and auditable installations. Alternatively, publish the skill to a trusted package registry with integrity checks. | LLM | SKILL.md:39 |
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