Security Audit
sundial-org/awesome-openclaw-skills:skills/a11y-checker
github.com/sundial-org/awesome-openclaw-skillsTrust Assessment
sundial-org/awesome-openclaw-skills:skills/a11y-checker received a trust score of 55/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Unpinned external dependency via `npx` command.
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 March 3, 2026 (commit 6d998e00). 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 external dependency via `npx` command The skill instructs users to execute `npx ai-a11y` without specifying a version. This means the latest version of the `ai-a11y` package will always be downloaded and executed. This introduces a significant supply chain risk, as a malicious update to the `ai-a11y` package could lead to arbitrary code execution, data exfiltration (including the required `OPENAI_API_KEY` environment variable), or other compromises on the user's system. The tool's reliance on an `OPENAI_API_KEY` makes this risk particularly sensitive, as a compromised package could easily exfiltrate this credential. Pin the version of the `ai-a11y` package when instructing users to install/run it (e.g., `npx ai-a11y@1.2.3`). Alternatively, provide instructions for a more secure installation method (e.g., `npm install --save-dev ai-a11y@1.2.3` and then `npx ai-a11y`). Users should also be advised to audit the package's source code before execution. | Static | SKILL.md:10 |
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