技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.1.0
统计：⭐ 1 · 1.4k · 0 current installs · 0 all-time installs
⭐ 1
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：acastellana/genlayer
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
This is an instruction-only documentation skill for explaining the GenLayer protocol; its requested footprint (no installs, no env vars, no binaries) matches its stated purpose and contains no instructions that access unrelated secrets or system files.
目的
The skill's name and SKILL.md claim to provide explanations, pitches, and architecture discussion about GenLayer. All included files are documentation and examples consistent with that purpose. There are no surprising requirements (no cloud creds, no unrelated system access).
说明范围
Runtime instructions are limited to 'understand and explain GenLayer' and list triggers and content files. The SKILL.md does not instruct the agent to read arbitrary system files, access environment variables, or transmit user data to external endpoints. Code examples exist in the docs but are illustrative only.
安装机制
There is no install spec and no code files to execute; this is an instruction-only skill (lowest install risk). README suggests cloning a GitHub repo for manual install but the registry package itself doesn't perform downloads or extraction.
证书
No required environment variables, credentials, or config paths are declared. Some example snippets reference LLM APIs and web fetches (e.g., gl.llm.complete, gl.web.fetch) which would require provider keys in real deployments, but this documentation skill does not request or require those secrets itself.
持久
The skill is not marked always:true and uses default invocation settings. It doesn't request persistent system-level changes or modify other skills' configurations. Normal autonomous invocation by the agent is allowed (platform default).
综合结论
This skill is documentation-only and appears coherent with its stated purpose — low-risk to install. Before adding it: (1) verify the publisher/source (there is no homepage listed), (2) treat links in the docs as external resources (open them in a browser before trusting), and (3) be cautious if you also install the companion genlayer-dev-claw-skill or run example code — development skills and SDKs may require API keys, run code, or fetch remo…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Genlayer Claw Skill」。简介：Explain and discuss GenLayer, the AI-native blockchain enabling trustless, cons…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/acastellana/genlayer/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: genlayer-claw-skill
version: 1.0.0
description: Understand and explain GenLayer - the AI-native blockchain for trustless decision-making. Use for investor pitches, protocol explanations, architecture questions, consensus mechanics, positioning, and ecosystem discussions. Triggers: explain genlayer, what is genlayer, genlayer thesis, optimistic democracy, genlayer pitch, genlayer architecture, condorcet jury theorem, equivalence principle, AI blockchain, trustless AI. (For writing contracts, use genlayer-dev-claw-skill instead.)
---
# GenLayer Knowledge Skill
GenLayer is a decentralized protocol where multiple LLMs reach consensus on complex tasks and decisions—the first AI-native blockchain.
## When to Use This Skill
- Explaining GenLayer to investors, developers, or partners
- Writing about the protocol, architecture, or vision
- Understanding consensus mechanics (Optimistic Democracy)
- Technical architecture questions
- Ecosystem/product discussions
- Pitch decks and positioning
**For writing/deploying Intelligent Contracts** → use `genlayer-dev-claw-skill`
## Quick Reference
**Tagline:** The intelligence layer of the Internet
**One-liner:**
> Bitcoin is trustless money. Ethereum is trustless apps. GenLayer is trustless decision-making.
**What it does:** Enables smart contracts (called "Intelligent Contracts") to natively access the Internet, process natural language, and make subjective decisions through AI-powered validator consensus.
## Core Concepts
| Concept | Description |
|---------|-------------|
| **Intelligent Contracts** | AI-powered smart contracts in Python that can reason, access web data, and handle non-deterministic operations |
| **Optimistic Democracy** | Consensus mechanism using multiple LLMs + Condorcet Jury Theorem for trustless decision-making |
| **Equivalence Principle** | How validators agree on "equivalent" outputs despite non-deterministic AI results |
| **GenVM** | The execution environment for Intelligent Contracts |
| **GEN Token** | Native token for staking, gas, and governance |
## Files in This Skill
| File | Use For |
|------|---------|
| `overview.md` | What GenLayer is, mission, positioning |
| `thesis.md` | Philosophical foundation: trust, AI, why GenLayer exists |
| `architecture.md` | Technical components, GenVM, validators, rollup integration |
| `consensus.md` | Optimistic Democracy, Equivalence Principle, appeals, slashing |
| `intelligent-contracts.md` | High-level developer concepts |
| `staking.md` | Validator/delegator economics |
| `use-cases.md` | What you can build |
## Elevator Pitches
### 30 seconds (technical)
GenLayer is a blockchain where validators run LLMs to reach consensus on complex, non-deterministic tasks. Smart contracts can access the web, understand natural language, and make subjective decisions—all validated by multiple AI models using game theory to converge on truth.
### 30 seconds (business)
GenLayer enables a new class of applications that need trustless AI decision-making: prediction markets on subjective events, AI-powered DAOs, automated dispute resolution, and performance-based contracts that verify real-world outcomes without human intervention.
### One sentence for crypto people
"It's like having a decentralized, incorruptible AI judge that can read the internet and understand context."
### One sentence for AI people
"It's infrastructure for AI agents to make binding agreements and resolve disputes without trusting any single model."
## Key Differentiators
| vs. Oracles | vs. Other AI Chains |
|-------------|---------------------|
| No pre-defined data feeds | Native LLM consensus, not just inference |
| Contracts can fetch any URL | Subjective decisions, not just compute |
| Natural language understanding | Game-theoretic truth convergence |
| No oracle setup required | Python-native development |
## Key Links
- [Documentation](https://docs.genlayer.com)
- [SDK](https://sdk.genlayer.com)
- [GitHub](https://github.com/genlayerlabs)
- [Discord](https://discord.gg/8Jm4v89VAu)
- [Telegram](https://t.me/genlayer)
- [Jury Theorem Simulator](https://jury-theorem.genlayer.com)
## Companion Skill
**`genlayer-dev-claw-skill`** — For actually building Intelligent Contracts:
- SDK API reference
- Code examples
- CLI commands
- Deployment guides