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Security audit

SciPy

Security checks for vulnerabilities and agentic risk

Overview

This SciPy skill is a local, documentation-only coding helper with no hidden network, persistence, or privilege behavior found.

Install only if you want the agent to favor complete runnable SciPy code and concise explanations. The reviewed artifact does not show automatic file creation, network access, credential handling, or persistent background behavior.

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
Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (1)

Anti-Refusal Statement

High
Category
Anti-Refusal
Confidence
85% confidence
Finding

Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.

Content

Scanner excerpt · setup.md (reported line 37)May include surrounding context.

md
2. Provide working code immediately
3. Explain key parameters only if non-obvious

Don't lecture — they want solutions, not tutorials.

## What Makes a Good Response

Static analysis

No suspicious patterns detected.