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Security audit

query-intel

Security checks for vulnerabilities and agentic risk

Overview

This is a small local Python helper for query planning and does not show hidden network access, persistence, credential use, or destructive behavior.

Install only if you are comfortable letting the skill run its bundled local Python script for query planning tasks. It does not appear to access private data or the network, but users should still review command output before relying on generated retrieval decisions or outlines.

A.I.G

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns
  • Behavioral ASTexec() Call, eval() Call, Dynamic Import
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (2)

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
89% confidence
Finding

The skill exposes shell-capable execution via documented python intel.py ... commands but does not declare any explicit tool scope such as permissions or allowed-tools. In an agent environment, missing scope declarations can cause overbroad execution privileges or make it unclear what runtime capabilities the skill requires, increasing the chance of unintended command execution paths.

Content

No source excerpt is available for this finding.

subprocess module call

Medium
Category
Dangerous Code Execution
Confidence
70% confidence
Finding

subprocess module calls execute external commands. Without careful input validation, this enables command injection.

Content

Scanner excerpt · tests/test_intel.py (reported line 12)May include surrounding context.

python
def run(*args):
    r = subprocess.run([sys.executable, INTEL] + list(args),
                       capture_output=True, text=True)
    assert r.returncode == 0, r.stderr
    return r.stdout

Static analysis

No suspicious patterns detected.