B — Some risk signals Graded October 16, 2026Minor concerns worth a quick check.Based on public adoption and transparency signals as of October 16, 2026. Our opinion, not a code audit or security guarantee.
AI agent skill · Developer tools
superpowers-zh
🦸 AI 编程超能力 · 中文增强版 — superpowers(250k+ ⭐)完整汉化 + 4 个中国原创 skills,让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI / Qoder 等 26 款 AI 编程工具真正会干活
Bottom line: Signal-based grade (4/7 points): very widely starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
- Popularity score
- 44/100
- Rank
- #216 of 500
- GitHub stars
- 8.3k
What it does
A comprehensive Chinese-language localization of the popular superpowers AI programming skill library, enhanced with 4 original China-focused skills. Extends AI coding assistants like Claude Code, Cursor, and Windsurf with 250k+ community-contributed programming capabilities and shortcuts.
Who it’s for
Chinese-speaking developers and teams using multi-agent coding environments who want expanded task automation. Teams leveraging AI assistants across 26+ supported tools for code generation, refactoring, and development workflows.
Copy-paste setup
Check these steps against the project’s own instructions before running anything.
Verify against the repo README at https://github.com/jnMetaCode/superpowers-zh (opens external site) for current installation instructions. Typically involves cloning the repository and configuring your AI agent to load skills from the local directory or npm package. Exact setup varies by AI tool (Claude Desktop uses mcpServers JSON config; others use direct file paths or environment variables).
Risks
- Prompt injection via skill definitions: Malicious or compromised skills in the 250k+ library could inject harmful instructions into AI agent behavior
- Supply chain compromise: Dependencies or the repository itself could be compromised; Chinese-specific forks may have less transparent maintenance
- Credential exposure: Skills that interface with build systems, APIs, or terminals could leak authentication tokens if poorly scoped
- Unclear permissions model: No evident documentation on skill isolation, sandboxing, or permission boundaries for what AI agents can execute
- Data exfiltration via code generation: Skills handling sensitive source code or internal tools could inadvertently output proprietary logic in responses
How to stay secure
Security Hardening Guide: superpowers-zh
Least-privilege permissions
- Restrict API access: Only connect superpowers-zh to APIs and services it absolutely needs (e.g., code repository, build tool). Don't give it blanket access to your entire infrastructure.
- Separate credentials: Use dedicated, limited accounts for each AI tool—never share production passwords or admin tokens with skills.
- Disable unused skills: Remove or deactivate any of the 250k+ skills your team doesn't actively use; fewer active skills means fewer potential weak points.
- Review Chinese-origin skills closely: The 4 Chinese-created skills should undergo extra scrutiny before deployment; verify the creator's reputation and check what data they can access.
Network isolation
- Sandbox execution environment: Run superpowers-zh in a container or isolated virtual machine so compromised skills can't access your internal network.
- Egress filtering: Block outbound network traffic from the AI agent except to explicitly approved domains (e.g., your GitHub, CI/CD platform); this prevents accidental data leaks.
- No direct terminal access: If possible, prevent the skill from running system commands or shell scripts that could modify files or steal data.
Monitoring
- Log all skill activity: Record which skills executed, what code they generated, and what external systems they contacted. Review logs weekly for suspicious patterns.
- Track API calls: Monitor authentication token usage and API request volume; unexpected spikes or failed authentications may signal compromise.
- Audit code output: Spot-check the code snippets generated by superpowers-zh, especially when it touches sensitive systems or repositories.
Red flags to watch for
- Unexpected network connections: If superpowers-zh tries to contact servers outside your approved list, treat it as a potential security incident.
- Skills requesting admin/root permissions: Be extremely cautious if any skill asks for elevated access; this is rarely necessary and often indicates a problem.
- Generated code with hardcoded credentials or secrets: If the AI outputs passwords, API keys, or internal hostnames, immediately audit the skill and regenerate your credentials.
- Vague or undocumented skill behavior: Avoid skills with no clear description of what they do or whose repository has poor maintenance history; unclear intent increases risk.
Alternatives
- Aider (opens external site) — Open-source AI pair programmer with native Chinese support and explicit code safety guardrails
- GitHub Copilot Skills (opens external site) — Official Microsoft curated skill ecosystem with vendor security review
- Continue Dev (opens external site) — Open VS Code extension with modular protocol-based skills and transparent sandboxing
- OpenDevin (opens external site) — Agent framework with explicit task isolation and audit logging for code execution