Trust Assessment
defi 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 Unsanitized user input in shell commands leading 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 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 | Unsanitized user input in shell commands leading to command injection The skill's example `bash` commands directly interpolate variables (e.g., `WALLET`, `SRC`, `INPUT_MINT`, `AMOUNT`) into double-quoted strings without proper shell escaping. If these variables are derived from untrusted user input, an attacker could inject shell metacharacters (e.g., backticks `` ` `` or `$()`) to execute arbitrary commands on the host system. This vulnerability is present in multiple `curl` commands across the skill, including those for checking wallet balances, performing 1inch swaps, Jupiter swaps, and LI.FI bridges. All variables derived from untrusted user input must be strictly validated and properly shell-escaped before being interpolated into shell commands. For JSON payloads, ensure both JSON and shell escaping. A safer alternative is to use a robust programming language (e.g., Python) to construct API requests and handle responses, avoiding direct shell command execution with user-controlled strings. | LLM | SKILL.md:78 |
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