Trust Assessment
yollomi-ai-api 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 Command Injection in test script via environment variables and arguments.
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 12, 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 | Command Injection in test script via environment variables and arguments The `scripts/test-api.sh` script is vulnerable to command injection. The `BASE_URL` variable (derived from command-line arguments or `YOLLOMI_BASE_URL` environment variable) and the `YOLLOMI_API_KEY` environment variable are used directly within `curl` command arguments without proper shell escaping. An attacker could inject arbitrary shell commands by crafting malicious values for these variables (e.g., by including `"` followed by shell operators like `&&`, `||`, `;`, or command substitutions like `$(...)`). This could lead to arbitrary code execution on the system running the script. Implement robust input validation for `BASE_URL` to ensure it's a valid URL. For `YOLLOMI_API_KEY` and `BASE_URL`, use `printf %q` or similar shell quoting mechanisms when constructing the `curl` command to prevent shell metacharacter interpretation. For example, `curl ... "$(printf %q "$BASE_URL")" -H "Authorization: Bearer $(printf %q "$YOLLOMI_API_KEY")" ...`. | LLM | scripts/test-api.sh:14 |
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