ECC
by affaan-m
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
225,757stars
34,525forks
JavaScript
Added 5/19/2026
Installation
# Add to your Claude Code skills
git clone https://github.com/affaan-m/ECCGetting Started
Guides for using ai agents skills like ECC.
- Caveman: Cut Claude Token Use by 65%How agent-side prompt compression works, when to use it, and when not to.
- What is an AI Skills Marketplace?Definitions, how marketplaces work, and how to choose between them in 2026.
- Getting Started with AI SkillsFirst-time install walkthrough for Claude Code, Codex CLI, and ChatGPT.
Security ReportVerified
Last scanned: 5/19/2026
{
"issues": [
{
"type": "npm-audit",
"message": "brace-expansion: brace-expansion: Large numeric range defeats documented `max` DoS protection",
"severity": "medium"
}
],
"status": "PASSED",
"scannedAt": "2026-05-19T07:44:46.948Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": true
}Language: English | Português (Brasil) | 简体中文 | 繁體中文 | 日本語 | 한국어 | Türkçe | Русский | Tiếng Việt | ไทย | Deutsch | Español
[!WARNING] Official sources only. Install ECC only from verified channels: the GitHub repository github.com/affaan-m/ECC, the npm packages
ecc-universalandecc-agentshield, the GitHub App, the plugin slugecc@ecc, and the project website ecc.tools. Third-party re-uploads and unofficial mirrors are not maintained or reviewed by the project and may contain malware.
211.9K+ stars | 32.5K+ forks | 230+ contributors | 12+ language ecosystems | Cross-harness agent workflows
Language / 语言 / 語言 / Dil / Язык / Ngôn ngữ / Idioma
English | Português (Brasil) | 简体中文 | 繁體中文 | 日本語 | 한국어 | Türkçe | Русский | Tiếng Việt | ไทย | Deutsch | Español
The harness-native operator system for agentic work. Built from real-world multi-harness engineering workflows.
Not just configs. A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. Production-ready agents, skills, hooks, rules, MCP configurations, and legacy command shims evolved over 10+ months of intensive daily use building real products.
Works across Codex, Claude Code, Cursor, OpenCode, Gemini, Zed, GitHub Copilot, and other AI agent harnesses.
ECC v2.0.0 adds the public Hermes operator story on top of that reusable layer: start with the Hermes setup guide, then review the 2.0.0 release notes and cross-harness architecture.
OSS stays free. This repo is MIT-licensed forever. ECC Pro is the hosted GitHub App for private repos. Sponsors and Pro subscribers fund the work — that's why a single maintainer ships weekly across 7 harnesses.
Business sponsors
Community sponsors: Mike Morgan · @jasonwu513 · @1anter · @massimotodaro · @meadmccabe
Become a Sponsor · Sponsor Tiers · Sponsorship Program
The Guides
This repo is the raw code only. The guides explain everything.
| Topic | What You'll Learn |
|---|---|
| Token Optimization | Model selection, system prompt slimming, background processes |
| Memory Persistence | Hooks that save/load context across sessions automatically |
| Continuous Learning | Auto-extract patterns from sessions into reusable skills |
| Verification Loops | Checkpoint vs continuous evals, grader types, pass@k metrics |
| Parallelization | Git worktrees, cascade method, when to scale instances |
| Subagent Orchestration | The context problem, iterative retrieval pattern |
What's New
v2.0.0 — The Agent Harness Operating System (Jun 2026)
Stable graduation of the 2.0 line: 261 skills, the control-pane substrate (session adapters + MCP inventory), the worktree-lifecycle service, the orch-* orchestrator family, and the launch of the ECC Discord community. Full notes: docs/releases/2.0.0/release-notes.md.
v2.0.0-rc.1 — Surface Refresh, Operator Workflows, and ECC 2.0 Alpha (Apr 2026)
- Dashboard GUI — New Tkinter-based desktop application (
ecc_dashboard.pyornpm run dashboard) with dark/light theme toggle, font customization, and project logo in header and taskbar. - Public surface synced to the live repo — metadata, catalog counts, plugin manifests, and install-facing docs now match the actual OSS surface: 66 agents, 268 skills, and 84 legacy command shims.
- Operator and outbound workflow expansion —
brand-voice,social-graph-ranker,connections-optimizer,customer-billing-ops,ecc-tools-cost-audit,google-workspace-ops,project-flow-ops, andworkspace-surface-auditround out the operator lane. - Media and launch tooling —
manim-video,remotion-video-creation, and
Frequently Asked Questions
What is ECC?
ECC is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by affaan-m. The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. It has 225,757 GitHub stars.
Is ECC safe to use?
Yes. ECC passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
How do I install ECC?
Clone the repository with "git clone https://github.com/affaan-m/ECC" and add it to your Claude Code skills directory (see the Installation section above).
What programming language is ECC written in?
ECC is primarily written in JavaScript. It is open-source under affaan-m on GitHub, so you can review or fork the full source.
Are there alternatives to ECC?
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ECC against similar tools.
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