Security Audit

zellij

github.com/openclaw/skills

AI SkillCommit 13146e6a3d46

CAUTION

Scanned 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

zellij received a trust score of 70/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 1 finding: 1 critical, 0 high, 0 medium, and 0 low severity. Key findings include Unsanitized arguments in Zellij helper scripts 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

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

70%

Behavioral Risk Signals

Shell Execution

1 finding

Dynamic Code

1 finding

Security Findings1

Severity	Finding	Layer	Location
CRITICAL	Unsanitized arguments in Zellij helper scripts lead to command injection Several helper scripts (`cleanup-sessions.sh`, `find-panes.sh`, `find-sessions.sh`, `wait-for-text.sh`) directly interpolate command-line arguments (`data_dir`, `session`, `pane_id`) into `zellij` commands without proper sanitization. If an attacker can control these arguments (e.g., through user input to the LLM), they can inject arbitrary shell commands by including metacharacters (like `;`, `&`, `\|`, `$(...)`) within the argument values. This allows for arbitrary code execution on the host system where the skill is run. Examples of vulnerable lines include `scripts/cleanup-sessions.sh:40` (for `data_dir`), `scripts/find-panes.sh:65` (for `data_dir`, `session`, `pane_id`), `scripts/find-sessions.sh:50` (for `data_dir`), and `scripts/wait-for-text.sh:66` (for `data_dir`, `session`, `pane_id`). Implement robust input validation and sanitization for all command-line arguments (`data_dir`, `session`, `pane_id`) before they are used in shell commands. This could involve: 1. Strictly validating arguments against allowed character sets (e.g., alphanumeric, hyphens, underscores). 2. Using `printf %q` to properly quote arguments when constructing shell commands. 3. For paths, using `realpath` and verifying they are within an expected base directory.	LLM	scripts/cleanup-sessions.sh:40

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