Trust Assessment
pptx-pdf-font-fix received a trust score of 86/100, 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 Vulnerability in Output File Generation.
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 Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Path Traversal Vulnerability in Output File Generation The script constructs the output file path based on user-provided input without proper sanitization. If a malicious user provides an `input.pptx` path containing directory traversal sequences (e.g., `../../../../etc/passwd.pptx`), the script will attempt to write the processed file to an arbitrary location on the filesystem (e.g., `/etc/passwd_fixed.pptx`) when `shutil.copy2` is called. This could lead to overwriting critical system files or writing to unauthorized locations if the skill is executed with sufficient permissions. Implement robust path sanitization for both `input_path` and `output_path` to ensure they are confined to an allowed working directory. For example, resolve paths to absolute paths and verify they are within a designated sandbox directory using `os.path.abspath` and `os.path.commonprefix`. Alternatively, ensure the execution environment strictly sandboxes file system access to prevent writes outside the intended scope. | LLM | scripts/fix_font_transparency.py:140 |
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