opencode-power-pack — security grade SAFE, quality 72/100

Security audit verdict: SAFE · quality 72/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by waybarrios · MCP Server · ★ 528

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is opencode-power-pack safe to install? View the security audit →

Featured in: Multi-AI Bridge & Cross-IDE Sync

About opencode-power-pack

Eleven Claude Code skills, ported to OpenCode. Code review, security audit, feature dev, frontend design, and the rest of the kit — installable in one line. Install

ai-agentsanthropicclaude-codecode-reviewcodexcodex-clideveloper-toolsgradiohuggingfacellm-tools

Quick Facts

Stars528
Forks42
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score72.1372623880269/100
Open Issues3
Last Updated2026-09-28
Created2026-04-26
Platformsclaude-code, cli, codex, mcp, python
Est. Tokens~18k

Compatible Skills

These tools work well together with opencode-power-pack for enhanced workflows:

  • session-orchestrator — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)
  • mcp-shark — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • claude-plugins — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

opencode-power-pack alternative? Top 6 similar tools

Looking for a opencode-power-pack alternative? If you're comparing opencode-power-pack with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • pilot-shell by maxritter · ⭐ 2.1k

    Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software

  • happier by happier-dev · ⭐ 1.8k

    Web, Desktop & Mobile client and orchestrator for Codex, Claude Code, OpenCode, Pi, Cursor, Grok, Antigravity,

  • awesome-llm-skills by Prat011 · ⭐ 1.7k

    A curated list of awesome LLM and AI Agent Skills, resources and tools for customising AI Agent workflows - th

  • ai-devkit by codeaholicguy · ⭐ 1.6k

    The control plane for AI coding agents.

  • quint-code by m0n0x41d · ⭐ 1.3k

    Engineering decisions engine that know when they're stale. Frame, compare, decide — with evidence decay and p

  • agentsys by agent-sh · ⭐ 991

    AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCod

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Frequently Asked Questions

What is opencode-power-pack?

opencode-power-pack is 54 rigorous skills for Codex, OpenCode, and Pi: code review, security audit, feature development, frontend design, MCP tools, Hugging Face ML/training, and more.. It is categorized as a MCP Server with 528 GitHub stars.

What programming language is opencode-power-pack written in?

opencode-power-pack is primarily written in Python. It covers topics such as ai-agents, anthropic, claude-code.

How do I install or use opencode-power-pack?

You can find installation instructions and usage details in the opencode-power-pack GitHub repository at github.com/waybarrios/opencode-power-pack. The project has 528 stars and 42 forks, indicating an active community.

What license does opencode-power-pack use?

opencode-power-pack is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to opencode-power-pack?

The top alternatives to opencode-power-pack on Agent Skills Hub include pilot-shell, happier, awesome-llm-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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