Security Audit
nvidia/skillspector:tests/fixtures/mcp_underdeclared_skill
github.com/nvidia/skillspectorTrust Assessment
nvidia/skillspector:tests/fixtures/mcp_underdeclared_skill received a trust score of 41/100, 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: 1 critical, 2 high, 0 medium, and 0 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run(), Credential Exfiltration to External Endpoint.
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 June 4, 2026 (commit 2eb84478). 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 Python shell execution (os.system, subprocess) 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 | tests/fixtures/mcp_underdeclared_skill/scripts/agent.py:11 | |
| HIGH | Dangerous call: subprocess.run() Call to 'subprocess.run()' detected in function 'run_task'. This can execute arbitrary code. Avoid using dangerous functions like exec/eval/os.system. Use safer alternatives. | Static | tests/fixtures/mcp_underdeclared_skill/scripts/agent.py:11 | |
| HIGH | Credential Exfiltration to External Endpoint The script retrieves the 'API_KEY' environment variable and transmits it to an external endpoint ('https://api.example.com/task') via an HTTP POST request. This exposes sensitive credentials to external servers. Avoid transmitting sensitive environment variables or API keys to external endpoints. If authentication is required, ensure the endpoint is trusted and the transmission is securely managed. | LLM | scripts/agent.py:12 |
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