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 luckeyfaraday · MCP Server · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is athena-loops safe to install? View the security audit →
Athena Loops — backend-agnostic AI agent orchestration loop for Python agentloop is a lightweight Python framework for multi-agent orchestration. It implements the orchestrator → worker → reviewer pattern (the AI agent orchestration loop) as a deterministic harness with a closed feedback loop: a goal is decomposed into subtasks, fanned out to worker subagents, aggregated, and run through a review gate that loops until the work meets its success criteria. One loop drives any LLM backend — Anthropic Claude, Claude Code, Codex, opencode, or aider — through a single interface, and it ships as both an MCP server and a plain CLI so any coding agent can call it. The design principle: the loop is a harness (deterministic code), not a skill. A prompt can describe "decompose, review, loop until done" but can't guarantee it. So the control flow lives in code, and the model-facing judgement (how to decompose, the review rubric) lives in swappable prompts. One harness drives any backend through a single interface. The tweet that started it all — Peter Steinberger (@steipete): "You shouldn't be prompting coding agents anymore.
| Stars | 53 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.019050660584/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-08 |
| Created | 2026-06-17 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~18k |
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athena-loops is MIT-licensed, backend-agnostic AI agent orchestration loop in Python: orchestrator→worker→reviewer as a deterministic harness. Drive coding-agent backends through an MCP server + CLI.. It is categorized as a MCP Server with 53 GitHub stars.
athena-loops is primarily written in Python. It covers topics such as agent-loop, agent-orchestration, agentic-workflows.
You can find installation instructions and usage details in the athena-loops GitHub repository at github.com/luckeyfaraday/athena-loops. The project has 53 stars and 13 forks, indicating an active community.
athena-loops is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to athena-loops on Agent Skills Hub include agent-skills, forge-orchestrator, vnx-orchestration. 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: