ECC vs wshobson/agents
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A set of skills, memory, and security rules that makes AI coding agents work more carefully.
Open source · MIT
A collection of plugins, agents, skills, and commands that run across several AI coding tools.
The short answer
Choose ECC if you need…
- Developers who already use Claude Code and want a shared workflow for planning, testing and review
- Teams that want consistent agent behavior across several coding tools
- People who want an agent to reuse past fixes through saved skills and memory
- Developers who care about security checks on agent-generated code
Choose wshobson/agents if you need…
- Developers who already use one of the listed AI coding tools and want ready-made specialist agents
- Python or JavaScript/TypeScript developers looking for testing, packaging, or project setup guidance
- Teams wanting a shared set of review and security-scanning workflows across different tools
- People who want to install only individual skills without the full plugin set
Side-by-side
| ECC | wshobson/agents | |
|---|---|---|
| Type | Dev tool | Dev tool |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 295k | 42.1k |
| Setup difficulty | Intermediate | Beginner |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | JavaScript | Python |
| Last code update | 4 days ago | 4 days ago |
What each one is
ECC
ECC is an open-source add-on for AI coding agents such as Claude Code. It bundles reusable skills, workflows, memory and security checks so the agent plans before building, tests its changes, reviews its own work, and keeps useful notes between sessions. You install it once instead of writing the same process instructions into every prompt. The README says it works best with Claude Code and has native Codex and Qoder plugin paths, with more limited adapters for Cursor, OpenCode, Gemini and Zed.
wshobson/agents
This project is a shared library of prompts-as-plugins for AI coding assistants. It contains 94 plugins with specialist agents, skills (reference guidance an agent loads when relevant), and commands (named workflows) covering areas like Python, JavaScript, code review, testing, infrastructure, and security. One Markdown source is adapted to Claude Code, OpenAI Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot, and Pi.
Best for
ECC
- Developers who already use Claude Code and want a shared workflow for planning, testing and review
- Teams that want consistent agent behavior across several coding tools
- People who want an agent to reuse past fixes through saved skills and memory
- Developers who care about security checks on agent-generated code
wshobson/agents
- Developers who already use one of the listed AI coding tools and want ready-made specialist agents
- Python or JavaScript/TypeScript developers looking for testing, packaging, or project setup guidance
- Teams wanting a shared set of review and security-scanning workflows across different tools
- People who want to install only individual skills without the full plugin set
Strengths
ECC
- MIT-licensed and open source, with a large public following on GitHub
- Installs as a plugin through a documented slug, so setup is mostly guided
- Explicit about which tools have full support and which have limited adapters
wshobson/agents
- Covers seven coding tools from one shared source of components
- Large catalog: 94 plugins, 202 agents, 185 skills, and 105 commands according to the README
- Offers a skills-only install route that does not require the full plugin set
Not ideal for
ECC
- People who do not use any AI coding agent, since the project only adds value on top of one
- Users who need a single, simple tool with a short learning curve, because the README covers many harnesses and components
- Anyone who needs full feature parity across Cursor, Gemini or Zed, since the README describes those adapters as capability-limited
wshobson/agents
- People who do not use any supported AI coding tool, since the components only run inside those harnesses
- Anyone expecting the scores from the plugin-eval tool to prove a task will succeed, because the README says the LLM judge and Monte Carlo layers are experimental and not validated against human labels
- Users wanting a fully stable, versioned release, since the README lists no latest release
Trade-offs
ECC
- The README describes a large system with many parts, which makes it hard to know what to use first
- Best support is for Claude Code; other tools get capability-limited adapters
- Some paid hosted features (ECC Pro GitHub App for private repos) are mentioned alongside the free project
wshobson/agents
- The README notes that available components depend on the installation route and each harness's limits, so features differ by tool
- Some features (LLM judge, Monte Carlo evaluation) are experimental and may bill your Anthropic API account if ANTHROPIC_API_KEY is set
- Pi agents need a separate subagent extension, and the Codex native and generated routes behave differently
Getting started
ECC
Install the npm package listed in the README (exact command not shown in the truncated text)
git clone https://github.com/affaan-m/ECCwshobson/agents
Claude Code: register marketplace (run inside Claude Code)
/plugin marketplace add wshobson/agentsClaude Code: install Python plugin (run inside Claude Code)
/plugin install python-development@claude-code-workflowsFrequently asked questions
What is the difference between ECC and wshobson/agents?
ECC: A set of skills, memory, and security rules that makes AI coding agents work more carefully. wshobson/agents: A collection of plugins, agents, skills, and commands that run across several AI coding tools. ECC suits developers who already use claude code and want a shared workflow for planning, testing and review, while wshobson/agents suits developers who already use one of the listed ai coding tools and want ready-made specialist agents.
Are ECC and wshobson/agents free?
ECC: Free and open source. wshobson/agents: Free and open source.
Which is easier to set up, ECC or wshobson/agents?
wshobson/agents is easier to get started with (rated beginner); ECC is rated intermediate and usually needs more setup.
Is ECC or wshobson/agents more popular?
ECC has more GitHub stars (295k) than wshobson/agents (42.1k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to ECC and wshobson/agents?
Other options people compare them with include Trail-code, opencodex, Claude Code Game Studios, 9Router, Agentic Awesome Skills.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.