Trust Assessment
stock-market-pro received a trust score of 81/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Command Injection via Unsanitized User Input, Unpinned Dependencies in Skill Package.
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 Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Command Injection via Unsanitized User Input The skill's design passes user-provided arguments (e.g., `[TICKER]`, `[PERIOD]`) directly into shell commands (`uv run --script scripts/yf ...`). If these inputs are not properly sanitized by the `scripts/yf` script, an attacker could inject arbitrary shell commands by crafting malicious input (e.g., `AAPL; rm -rf /`). This is a direct command injection vector. Implement robust input sanitization and validation for all user-provided arguments (`[TICKER]`, `[PERIOD]`) within the `scripts/yf` script before they are used in shell commands. Ideally, use a safe argument passing mechanism that avoids direct shell interpolation. | LLM | SKILL.md:8 | |
| MEDIUM | Unpinned Dependencies in Skill Package The skill lists its dependencies (`yfinance`, `mplfinance`, `rich`) but does not specify pinned versions. While `uv` manages dependencies, relying on unpinned versions can lead to supply chain risks, including pulling in vulnerable versions, breaking changes, or even malicious code if a dependency is compromised. This lack of pinning makes the skill susceptible to dependency confusion or supply chain attacks. Pin all direct and transitive dependencies to specific versions (e.g., `yfinance==0.2.30`) in a `requirements.txt` or `pyproject.toml` file. Regularly audit and update these pinned versions to mitigate supply chain risks. | LLM | SKILL.md:33 |
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