Security Audit

dkyazzentwatwa/chatgpt-skills:date-normalizer

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:date-normalizer 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 3 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Unpinned Python dependency version, Broadly Pinned Dependencies.

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

86%

LLM Behavioral Safety

100%

Behavioral Risk Signals

Filesystem Write

1 finding

Security Findings3

Severity	Finding	Layer	Location
MEDIUM	Unpinned Python dependency version Requirement 'python-dateutil>=2.8.0' is not pinned to an exact version. Pin Python dependencies with '==<exact version>'.	Dependencies	date-normalizer/scripts/requirements.txt:1
MEDIUM	Unpinned Python dependency version Requirement 'pandas>=2.0.0' is not pinned to an exact version. Pin Python dependencies with '==<exact version>'.	Dependencies	date-normalizer/scripts/requirements.txt:2
INFO	Broadly Pinned Dependencies The `requirements.txt` file uses broad version specifiers (`>=`) for `python-dateutil` and `pandas`. While common, this practice can lead to non-reproducible builds and may introduce unexpected vulnerabilities or breaking changes if a new major/minor version is released with issues. For enhanced security and stability, it is recommended to pin dependencies to exact versions (`==`) or use a lock file mechanism. Pin dependencies to exact versions (e.g., `python-dateutil==2.8.2`, `pandas==2.1.4`) after verifying compatibility, or use a lock file mechanism like `pip-tools` to generate a `requirements.lock` file.	LLM	scripts/requirements.txt:1

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