Trust Assessment
seo-fundamentals received a trust score of 76/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 3 findings: 0 critical, 1 high, 1 medium, and 1 low severity. Key findings include Network egress to untrusted endpoints, Covert behavior / concealment directives, Arbitrary file read via project_path argument.
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 458b1186). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings3
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Arbitrary file read via project_path argument The `seo_checker.py` script takes `project_path` as a command-line argument (`sys.argv[1]`) and uses it to `glob` for files and then `read_text` their content. This allows an attacker to specify an arbitrary directory on the filesystem (e.g., `/etc`, `~/.ssh`, or the agent's internal configuration directories). While the script's output primarily reports SEO-related issues and filenames, the ability to read arbitrary file content from sensitive locations is a significant information disclosure risk. The script's `is_page_file` logic and file extensions (`.html`, `.htm`, `.jsx`, `.tsx`) could inadvertently match and read sensitive configuration or data files if present in the targeted directory. Restrict the `project_path` to a safe, user-provided directory or the skill's own directory. Implement strict path validation to prevent directory traversal attacks. For example, ensure `project_path` is a subdirectory of a known safe path, or only allow relative paths within the skill's working directory. Alternatively, if arbitrary paths are necessary, implement a robust allowlist for directories or file types, or ensure the script runs within a tightly sandboxed environment that prevents access to sensitive system paths. | LLM | scripts/seo_checker.py:57 | |
| MEDIUM | Network egress to untrusted endpoints HTTP request to raw IP address Review all outbound network calls. Remove connections to webhook collectors, paste sites, and raw IP addresses. Legitimate API calls should use well-known service domains. | Manifest | cli-tool/components/mcps/devtools/figma-dev-mode.json:4 | |
| LOW | Covert behavior / concealment directives Multiple zero-width characters (stealth text) Remove hidden instructions, zero-width characters, and bidirectional overrides. Skill instructions should be fully visible and transparent to users. | Manifest | cli-tool/components/mcps/devtools/jfrog.json:4 |
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