Trust Assessment
qr-code received a trust score of 81/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 4 findings: 0 critical, 0 high, 2 medium, and 2 low severity. Key findings include Unsafe deserialization / dynamic eval, Unpinned Python dependencies 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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings4
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| 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/omar-khaleel/qr-code-intelligence/qr_generate.py:3 | |
| 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/omar-khaleel/qr-code-intelligence/qr_read.py:3 | |
| LOW | Unpinned Python dependencies in installation instructions The `SKILL.md` file provides `pip install` commands for `qrcode` and `pillow` without specifying exact versions. This can lead to supply chain vulnerabilities if a future version of these packages introduces malicious code or critical bugs. An AI agent executing these commands would be susceptible to such risks. Pin all Python dependencies to specific versions (e.g., `qrcode==7.3.1 pillow==9.0.0`) to ensure reproducible and secure installations. | LLM | SKILL.md:20 | |
| LOW | Unpinned Python dependencies in installation instructions The `SKILL.md` file provides a `pip install` command for `pillow` and `pyzbar` without specifying exact versions. This can lead to supply chain vulnerabilities if a future version of these packages introduces malicious code or critical bugs. An AI agent executing these commands would be susceptible to such risks. Pin all Python dependencies to specific versions (e.g., `pillow==9.0.0 pyzbar==0.1.9`) to ensure reproducible and secure installations. | LLM | SKILL.md:24 |
Scan History
Embed Code
[](https://skillshield.io/report/3b5a884bc3505e47)
Powered by SkillShield