Security Audit

dkyazzentwatwa/chatgpt-skills:lorem-ipsum-generator

github.com/dkyazzentwatwa/chatgpt-skills

AI SkillCommit d4bad33523ff

TRUSTED

Scanned about 1 month ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

dkyazzentwatwa/chatgpt-skills:lorem-ipsum-generator received a trust score of 85/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Unpinned Python dependency version, Path Traversal via --output argument.

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 24, 2026 (commit d4bad335). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

93%

LLM Behavioral Safety

93%

Behavioral Risk Signals

Filesystem Write

1 finding

Shell Execution

1 finding

Security Findings2

Severity	Finding	Layer	Location
MEDIUM	Unpinned Python dependency version Requirement 'faker>=22.0.0' is not pinned to an exact version. Pin Python dependencies with '==<exact version>'.	Dependencies	lorem-ipsum-generator/scripts/requirements.txt:1
MEDIUM	Path Traversal via --output argument The `lorem_gen.py` script allows users to specify an output file path using the `--output` command-line argument. The provided path (`args.output`) is used directly in the `open()` function without proper sanitization. This makes the script vulnerable to path traversal, where an attacker could specify a path like `../../../../etc/passwd` to write to arbitrary files on the system. This could lead to overwriting critical system files or writing to sensitive locations, potentially causing denial of service or unauthorized data modification. Sanitize the `args.output` path to prevent traversal. This can be achieved by ensuring the path is a simple filename (e.g., using `os.path.basename()`) or by resolving the path and verifying it remains within an allowed, non-sensitive directory (e.g., using `pathlib.Path.resolve()` and checking against a base directory).	LLM	scripts/lorem_gen.py:399

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/27d9a6c5a1ac62e6.svg)](https://skillshield.io/report/27d9a6c5a1ac62e6)