Trust Assessment
using-superpowers received a trust score of 72/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.
SkillShield's automated analysis identified 1 finding: 1 critical, 0 high, 0 medium, and 0 low severity. Key findings include Prompt Injection and Agent Hijacking Instructions.
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 August 1, 2026 (commit 44c9b2d6). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| CRITICAL | Prompt Injection and Agent Hijacking Instructions The skill contains coercive instructions and subagent directives designed to override the host LLM's default behavior, force the execution of other skills, and manipulate agent execution flow. Specifically, it uses tags like <SUBAGENT-STOP> to conditionally ignore instructions and <EXTREMELY-IMPORTANT> to mandate skill invocation, which can be used to hijack the agent's decision-making process. Remove the coercive language, subagent-specific override instructions, and mandatory execution rules that attempt to bypass the agent's default safety and operational boundaries. | LLM | SKILL.md:2 |
Scan History
Embed Code
[](https://skillshield.io/report/73f60aec4140fa28)
Powered by SkillShield