Trust Assessment
parallel-deep-research 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 Unpinned remote script execution for installation.
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 | Unpinned remote script execution for installation The skill instructs users to install the `parallel-cli` by piping a script directly from `https://parallel.ai/install.sh` to `bash`. This method executes code from an external source without version pinning or integrity checks, making the installation vulnerable to supply chain attacks if the remote script is compromised or altered. The content of the script could change at any time, introducing malicious code. Recommend a more secure installation method, such as using a package manager (e.g., `pip`, `npm`, `apt`, `brew`) with version pinning and cryptographic integrity checks (e.g., hash verification), or providing a signed executable. If `curl | bash` is deemed necessary, advise users to inspect the script content before execution and provide a hash for verification. | LLM | SKILL.md:154 |
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