Trust Assessment
linkerd-patterns received a trust score of 35/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.
SkillShield's automated analysis identified 3 findings: 2 critical, 0 high, 1 medium, and 0 low severity. Key findings include Arbitrary command execution, Remote code execution: curl/wget pipe to shell, Direct script execution from remote URL.
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 11, 2026 (commit 5d65aa10). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings3
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Arbitrary command execution Remote code download piped to interpreter Review all shell execution calls. Ensure commands are static (not built from user input), use absolute paths, and are strictly necessary. Prefer library APIs over shell commands. | Manifest | plugins/cloud-infrastructure/skills/linkerd-patterns/SKILL.md:54 | |
| CRITICAL | Remote code execution: curl/wget pipe to shell Detected a pattern that downloads and immediately executes remote code. This is a primary malware delivery vector. Never pipe curl/wget output directly to a shell interpreter. | Static | plugins/cloud-infrastructure/skills/linkerd-patterns/SKILL.md:54 | |
| MEDIUM | Direct script execution from remote URL The skill includes a command that downloads and directly executes a shell script from a remote URL (`https://run.linkerd.io/install | sh`). While `linkerd.io` is the official domain for Linkerd, this method bypasses package managers and local review, posing a supply chain risk. If the remote server or the script itself were compromised, malicious code could be executed on the system where the command is run. Consider providing instructions for installation via a package manager (if available) or recommending users to review the script content before execution. Alternatively, provide a direct link to the script for manual download and inspection. | LLM | SKILL.md:46 |
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