Security Audit
new_relic-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
new_relic-automation received a trust score of 85/100, 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, 0 high, 1 medium, and 0 low severity. Key findings include Generic Tool Execution Allows Broad Access.
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 20, 2026 (commit 27904475). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Generic Tool Execution Allows Broad Access The skill instructs the LLM to use `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH` which are generic mechanisms for executing any tool available via the Rube MCP and Composio ecosystem. While the skill's stated purpose is New Relic automation, these tools do not inherently restrict execution to New Relic-specific operations. If the underlying Rube MCP or Composio platform exposes tools with broad system access (e.g., file system, network, arbitrary code execution), this skill implicitly grants the LLM the ability to invoke such tools, potentially leading to excessive permissions beyond its intended scope. An attacker could craft a prompt injection to guide the LLM to discover and execute a non-New Relic tool with sensitive capabilities. Implement stricter access controls or a whitelist of allowed tool slugs for this specific skill when using generic execution tools like `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH`. Ensure the LLM orchestrator enforces these restrictions. Alternatively, the skill documentation should explicitly state that only New Relic tools should be executed and provide guidance on how to enforce this. | LLM | SKILL.md:70 |
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