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Security audit

darwin-skill

Security checks for vulnerabilities and agentic risk

Overview

This is a Chinese-language skill for reviewing and improving one skill file, with no bundled code, install hook, or hidden execution behavior found.

Use this only when you intentionally want an agent to evaluate and modify a skill instruction file. Provide the exact target SKILL.md, require review of the diff and test results, and confirm before retaining changes, especially because modifying skills can affect future agent 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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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
Findings (2)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The file presents the skill entirely in Chinese and does not indicate that the user may choose another language or that the locale restriction is required for a region-specific purpose. Under the policy, forcing a specific language without opt-in is a natural-language policy concern.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The invocation guidance is overly broad ('optimize/evaluate existing skills') and does not define clear scope, allowed targets, or stopping conditions. In an autonomous optimization skill, vague triggers can cause the agent to act on unintended skills or repositories, increasing the risk of unauthorized modification, prompt-scope drift, or recursive self-modification without sufficient user intent verification.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.