superpowers-lab — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

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 obra · Claude Skill · ★ 410

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

🔒 Is superpowers-lab safe to install? View the security audit →

About superpowers-lab

Superpowers Lab Experimental skills for Claude Code Superpowers - new techniques and tools under active development. What is this? This plugin contains experimental skills that extend Claude Code's capabilities with new techniques that are still being refined and tested. These skills are functional but may evolve based on real-world usage and feedback. Current Skills finding-duplicate-functions Detect semantic code duplication in LLM-generated codebases. Unlike traditional copy-paste detectors that find syntactic duplicates, this skill identifies functions with the same intent but different implementations. Use cases: Audit codebases that have grown organically with multiple contributors Identify utility functions that have been reimplemented multiple times Find consolidation opportunities before major refactoring Complement jscpd after syntactic duplicates are handled How it works: Two-phase approach using classical function extraction followed by LLM-powered intent clustering. Haiku categorizes functions by domain, then Opus analyzes each category to find semantic duplicates. See skills/finding-duplicate-functions/SKILL.md for full documentation.

Quick Facts

Stars410
Forks30
LanguageShell
CategoryClaude Skill
LicenseMIT
Quality Score67.8938598339458/100
Open Issues1
Last Updated2026-06-01
Created2025-10-23
Platformsclaude-code, cli
Est. Tokens~2k

superpowers-lab alternative? Top 5 similar tools

Looking for a superpowers-lab alternative? If you're comparing superpowers-lab with other claude skill tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • claude-codex-settings by fcakyon · ⭐ 1.1k

    Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM

  • digital-marketing-pro by indranilbanerjee · ⭐ 795

    An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analyti

  • life-sciences by anthropics · ⭐ 566

    Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to ho

  • claude-ai-mcp by anthropics · ⭐ 432

    Report issues related to MCP integration with Claude here.

  • skyll by assafelovic · ⭐ 240

    A tool for autonomous agents like OpenClaw to discover and learn skills autonomously

More Claude Skill Tools

Explore other popular claude skill tools:

View all Claude Skill tools →

Popular Shell Agent Tools

Frequently Asked Questions

What is superpowers-lab?

superpowers-lab is Experimental skills for Claude Code Superpowers - new techniques and tools. It is categorized as a Claude Skill with 410 GitHub stars.

What programming language is superpowers-lab written in?

superpowers-lab is primarily written in Shell.

How do I install or use superpowers-lab?

You can find installation instructions and usage details in the superpowers-lab GitHub repository at github.com/obra/superpowers-lab. The project has 410 stars and 30 forks, indicating an active community.

What license does superpowers-lab use?

superpowers-lab is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to superpowers-lab?

The top alternatives to superpowers-lab on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. 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:

View on GitHub → Browse Claude Skill tools