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 Human-Agent-Society · Codex Skill · ★ 961
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is CORAL safe to install? View the security audit →
Robust, lightweight infrastructure for multi-agent self-evolution, built for autoresearch. English | 中文 Installation · Supported Agents · How It Works · Examples · Docs · Paper CORAL is infrastructure for autonomous AI agent organizations that run experiments, share knowledge, and continuously improve solutions. Give it a codebase and a grader, and CORAL handles the rest: isolated workspaces, safe evaluation, persistent shared state, and multi-agent collaboration. Natively integrated with Claude Code, OpenCode, Codex, Cursor Agent, and Kiro. 🔥 News [2026-06-13] Legacy grader
| Stars | 961 |
| Forks | 121 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 67.320861190079/100 |
| Open Issues | 19 |
| Last Updated | 2026-09-08 |
| Created | 2026-03-16 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
These tools work well together with CORAL for enhanced workflows:
Looking for a CORAL alternative? If you're comparing CORAL with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Autonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, a
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Ka
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Ka
Orkas is an open-source, local-first AI desktop app: a commander LLM directs specialist sub-agents, and runs y
List of agent orchestrators
Web, Desktop & Mobile client and orchestrator for Codex, Claude Code, OpenCode, Pi, Cursor, Grok, Antigravity,
Explore other popular codex skill tools:
CORAL is Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.. It is categorized as a Codex Skill with 961 GitHub stars.
CORAL is primarily written in Python. It covers topics such as agent-framework, agent-orchestration, agentic-ai.
You can find installation instructions and usage details in the CORAL GitHub repository at github.com/Human-Agent-Society/CORAL. The project has 961 stars and 121 forks, indicating an active community.
CORAL is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to CORAL on Agent Skills Hub include SWE-AF, awesome-autoresearch, awesome-autoresearch. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: