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Security audit

Super Spec

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed workflow guide for spec-driven development and does not contain code, hidden execution, data access, or destructive behavior.

Before installing, confirm you want a Chinese-language workflow coordinator and review the separate superpowers and spec-kit dependencies it asks you to install from GitHub.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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 (3)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The argument hint allows broad inputs like 'describe the feature you want to build' or simply 'start', which creates an imprecise activation boundary. In an agent environment, vague invocations can cause the skill to trigger in unrelated contexts and steer the model into this workflow when the user did not clearly intend it, increasing the chance of unintended guidance or action sequencing.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
98% confidence
Finding

The instruction requires the assistant to communicate in Chinese, which is a language/locale constraint. Because the file does not offer opt-in, user choice, or a clear region-specific justification, this is a natural-language policy violation under the stated rule.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The interaction rules say to proceed when the user says generic phrases like '开始' or '继续', but do not require confirmation that the user wants this specific skill. This can cause accidental takeover of conversations and misroute the agent into dependency-checking and workflow orchestration without a clear, task-specific request.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.