Security Audit

filesystem-context

github.com/muratcankoylan/Agent-Skills-for-Context-Engineering

AI SkillCommit 6dbe1a1d868e

TRUSTED

Scanned 14 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

filesystem-context 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 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Path Traversal via Unsanitized Source Parameter in ScratchPadManager.

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 October 1, 2026 (commit 6dbe1a1d). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Filesystem Write

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Path Traversal via Unsanitized Source Parameter in ScratchPadManager The `ScratchPadManager.offload` method constructs a file path by joining `self.base_path` with a filename derived directly from the `source` parameter. If `source` contains path traversal sequences (e.g., `../../`), the resulting path can point outside the designated scratch directory, allowing arbitrary file writes. Sanitize the `source` parameter to remove path traversal characters (e.g., using `os.path.basename(source)`) or verify that the resolved path is a strict subdirectory of `self.base_path` before writing.	LLM	scripts/filesystem_context.py:71

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