Security Audit

demo-video

github.com/openclaw/skills

AI SkillCommit 13146e6a3d46

CAUTION

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

demo-video received a trust score of 56/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 1 critical, 1 high, 0 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Unsanitized arguments in shell script lead to command injection.

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 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

70%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Network Access

1 finding

Shell Execution

1 finding

Dynamic Code

1 finding

Security Findings2

Severity	Finding	Layer	Location
CRITICAL	Network egress to untrusted endpoints HTTP request to raw IP address Review all outbound network calls. Remove connections to webhook collectors, paste sites, and raw IP addresses. Legitimate API calls should use well-known service domains.	Manifest	skills/cyberfront-ai/demo-video/scripts/record-demo.js:23
HIGH	Unsanitized arguments in shell script lead to command injection The `scripts/frames-to-video.sh` script directly interpolates user-provided arguments (`INPUT_DIR`, `OUTPUT_NAME`) into `ffmpeg` commands without proper sanitization. An attacker could inject shell metacharacters (e.g., `;`, `\|`, `$(...)`) into these arguments to execute arbitrary commands on the host system. For example, setting `OUTPUT_NAME` to `"foo; rm -rf /"` could lead to critical system damage. Implement robust input validation and sanitization for `INPUT_DIR` and `OUTPUT_NAME` before using them in shell commands. Restrict input to known safe characters or use `printf %q` for proper shell quoting to prevent arbitrary command execution. For example, ensure `INPUT_DIR` is a valid directory path and `OUTPUT_NAME` is a safe filename.	LLM	scripts/frames-to-video.sh:44

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