Trust Assessment
aaaaaaa received a trust score of 80/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 3 findings: 0 critical, 0 high, 3 medium, and 0 low severity. Key findings include Missing required field: name, Unpinned Python dependency version, Unpinned dependency in requirements.txt.
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 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings3
| 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/raff-lima/aaaaaaa/SKILL.md:1 | |
| MEDIUM | Unpinned Python dependency version Requirement 'playwright' is not pinned to an exact version. Pin Python dependencies with '==<exact version>'. | Dependencies | skills/raff-lima/aaaaaaa/requirements.txt:1 | |
| MEDIUM | Unpinned dependency in requirements.txt The `requirements.txt` file specifies `playwright` without a version pin. This allows for automatic installation of the latest version, which could introduce breaking changes, new vulnerabilities, or, in the event of a supply chain attack, a malicious version of the package. Pinning dependencies ensures deterministic builds and mitigates risks from unexpected or malicious updates. Pin the dependency to a specific version (e.g., `playwright==1.30.0`) or at least a major/minor version range (e.g., `playwright~=1.30.0`) to ensure deterministic builds and mitigate risks from unexpected or malicious updates. | LLM | requirements.txt:1 |
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