Trust Assessment
ggshield-scanner received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 6 findings: 2 critical, 2 high, 2 medium, and 0 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run(), Unpinned Python dependency version.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 40/100, indicating areas for improvement.
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 Findings6
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Arbitrary command execution Python shell execution (os.system, subprocess) Review all shell execution calls. Ensure commands are static (not built from user input), use absolute paths, and are strictly necessary. Prefer library APIs over shell commands. | Manifest | skills/amascia-gg/ggshield-scanner/ggshield_skill.py:62 | |
| CRITICAL | Arbitrary command execution Python shell execution (os.system, subprocess) Review all shell execution calls. Ensure commands are static (not built from user input), use absolute paths, and are strictly necessary. Prefer library APIs over shell commands. | Manifest | skills/amascia-gg/ggshield-scanner/ggshield_skill.py:90 | |
| HIGH | Dangerous call: subprocess.run() Call to 'subprocess.run()' detected in function '_run_ggshield'. This can execute arbitrary code. Avoid using dangerous functions like exec/eval/os.system. Use safer alternatives. | Static | skills/amascia-gg/ggshield-scanner/ggshield_skill.py:62 | |
| HIGH | Dangerous call: subprocess.run() Call to 'subprocess.run()' detected in function '_is_git_repository'. This can execute arbitrary code. Avoid using dangerous functions like exec/eval/os.system. Use safer alternatives. | Static | skills/amascia-gg/ggshield-scanner/ggshield_skill.py:90 | |
| MEDIUM | Unpinned Python dependency version Dependency 'ggshield>=1.15.0' is not pinned to an exact version. Pin Python dependencies with exact versions where feasible. | Dependencies | skills/amascia-gg/ggshield-scanner/pyproject.toml | |
| MEDIUM | Command Injection via External Binary Arguments The skill executes the `ggshield` external binary using `subprocess.run` and passes user-controlled arguments directly to it. While `subprocess.run` with a list of arguments (default `shell=False`) prevents direct shell injection, it is still vulnerable to argument injection if the `ggshield` binary itself has vulnerabilities in how it parses or interprets its command-line arguments. An attacker could potentially craft malicious `path` or `image_name` inputs (e.g., including flags like `--config` or other options) that could alter `ggshield`'s behavior or lead to unintended actions. While direct shell injection is mitigated by using a list for `subprocess.run`, consider adding more robust validation or sanitization for user-provided arguments (`path`, `image_name`) before passing them to the external `ggshield` command. For example, strictly validate `image_name` against known Docker image naming conventions, and ensure `path` arguments do not contain unexpected characters or flags. Relying solely on the external binary's argument parsing robustness can introduce a supply chain risk. | LLM | ggshield_skill.py:42 |
Scan History
Embed Code
[](https://skillshield.io/report/2d0bb7cc8303c030)
Powered by SkillShield