Trust Assessment
radarr-sonarr received a trust score of 47/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 7 findings: 0 critical, 1 high, 5 medium, and 1 low severity. Key findings include Unsafe deserialization / dynamic eval, Suspicious import: urllib.request, Direct source 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 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings7
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Direct source dependency in requirements.txt Requirement 'radarr-sonarr @ git+https://github.com/openclaw/skills' references a direct source instead of a pinned package release. Prefer pinned package versions from trusted indexes. | Dependencies | skills/melionka/radarr-sonarr/requirements.txt:1 | |
| MEDIUM | Unsafe deserialization / dynamic eval Decryption followed by code execution Remove obfuscated code execution patterns. Legitimate code does not need base64-encoded payloads executed via eval, encrypted-then-executed blobs, or dynamic attribute resolution to call system functions. | Manifest | skills/melionka/radarr-sonarr/scripts/radarr.py:4 | |
| MEDIUM | Unsafe deserialization / dynamic eval Decryption followed by code execution Remove obfuscated code execution patterns. Legitimate code does not need base64-encoded payloads executed via eval, encrypted-then-executed blobs, or dynamic attribute resolution to call system functions. | Manifest | skills/melionka/radarr-sonarr/scripts/sonarr.py:4 | |
| MEDIUM | Suspicious import: urllib.request Import of 'urllib.request' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration. | Static | skills/melionka/radarr-sonarr/scripts/radarr.py:9 | |
| MEDIUM | Suspicious import: urllib.request Import of 'urllib.request' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration. | Static | skills/melionka/radarr-sonarr/scripts/sonarr.py:9 | |
| MEDIUM | Unpinned Python dependency version Requirement 'requests>=2.28.0' is not pinned to an exact version. Pin Python dependencies with '==<exact version>'. | Dependencies | skills/melionka/radarr-sonarr/requirements.txt:2 | |
| LOW | Unpinned Git dependency in requirements.txt The 'radarr-sonarr' package is specified as a Git dependency without a specific commit hash or tag. This means that installing the skill could pull the latest version from the default branch, which might introduce unexpected changes or vulnerabilities if the remote repository is compromised or updated without proper review. While this dependency points to the same repository, it's a best practice to pin dependencies for reproducibility and security. Pin the Git dependency to a specific commit hash or tag (e.g., `radarr-sonarr @ git+https://github.com/openclaw/skills@<commit_hash>`). This ensures reproducible builds and prevents unexpected changes. | LLM | requirements.txt:1 |
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