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bikeread / promethos

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A skills-first framework for agent-system design, governance, evaluation, and evolution across domains.

15
1
100% credibility
Found Apr 03, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

PromethOS is a lightweight library of reusable prompts and guidelines for designing, governing, evaluating, and evolving AI agent systems across compatible AI platforms.

How It Works

1
🔍 Discover PromethOS

You stumble upon PromethOS, a friendly collection of guides for building smart AI helpers that work safely and grow smarter over time.

2
📥 Get the starter kit

Download the bundle of ready-made skill guides from the project page to kick things off.

3
Choose your AI buddy
🧠
Claude Code

Use the guide made just for Claude to blend in the skills smoothly.

🔬
Codex

Follow Codex's simple steps to add the skills to your setup.

⭐
Gemini

Apply Gemini's easy instructions to make the skills available right away.

4
📖 Follow the setup story

Read the short guide for your chosen AI buddy and set up the skills following the pictures and steps.

5
✅ Skills come alive

Restart your AI tool and smile as the new skills show up, ready for action.

6
🎯 Build your smart agent

Use the skills to plan your agent's goals, safety rules, checks, and ways to make it better.

🚀 Agent ready to shine

Your AI agent now has a clear plan, stays safe, gets tested well, and can keep improving effortlessly.

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AI-Generated Review

What is promethos?

PromethOS is a Python framework putting skills first—a framework for action in agent-system design, governance, evaluation, and evolution across domains. It packages reusable prompts covering agent requirements, architecture, context, memory, permissions, tool contracts, guardrails, and library maintenance, solving the chaos of unstructured AI agent builds. Drop it into harnesses like Claude Code, Codex, or Gemini CLI for instant methodology bootstrapping via the using-promethos entrypoint.

Why is it gaining traction?

Its skills-first approach stands out by layering lightweight, stable prompts over any workflow library without replacing session control—coexist with superpowers or go solo. Developers hook on the taxonomy of flow, cap, guard, eval, and meta skills that enforce autonomy boundaries and feedback loops right in their prompts. Early preview keeps it doc-driven and extendable, dodging bloated installs.

Who should use this?

AI engineers building domain-spanning agent systems, like promethos capital boston-style adaptive investors or promethos münchen logistics bots, who need governance and eval baked in. Prompt engineers tired of reinventing guardrails for Claude or Gemini agents. Teams evolving multi-agent setups across prometheos xbox games or prometheus movie-inspired sims.

Verdict

At 15 stars and 1.0% credibility, PromethOS is raw early preview—strong docs and validation scripts signal maturity potential, but test it small before production. Grab it if agent methodology gaps bug you; skip for polished alternatives.

(198 words)

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