AgentHubAgentHub

Locus Skill Install & Guide

SkillClawHub

io.clawhub.cdermott7/locus · v1.3.0

Locus payment tools for AI agents. Use when asked to send payments, check wallet balances, list tokens, approve token spending, or process payment-related actions from emails. Also use for demos of Locus (YC F25) payment infrastructure — scanning emails for payment requests and initiating crypto payments via wallet.

View on ClawHub ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Stars1
Downloads3.2k
Installs107

Overview

Locus payment tools for AI agents. Use when asked to send payments, check wallet balances, list tokens, approve token spending, or process payment-related actions from emails. Also use for demos of Locus (YC F25) payment infrastructure — scanning emails for payment requests and initiating crypto payments via wallet. Locus is a Agent Skill listed from ClawHub. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

WalletCryptoPayment

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-09-04
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from clawhub
Verified Clientsopenclaw、Claude Code、Claude Desktop 等
Security Tier: A+ 级 · 零权限本地沙盒 (A+)·Scanned for high-risk vulnerabilities. Recommended to run with project-scoped permissions.

Send this prompt to your AI to install the Skill

Recommended
Target client (auto-optimizes prompt):
PROMPT >

Follow the install guide at https://myagenthub.cn/install/skill.md?lang=en to automatically detect the current IDE and install the skill "cdermott7/locus" without asking, and tell me how to verify it afterwards.

💡Paste into your AI coding assistant (Cursor, Trae, Claude Code) — the agent will handle download and configuration automatically.

Copy by platformAlternative

Choose your platform

Choose install method

Click to copy snippet
# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai cursor -y

Setup tutorial

  1. Open the Locus page and confirm the source is ClawHub.
  2. Copy the install command for Trae, Lingma, Cursor, Claude Code, or universal CLI.
  3. Run it, or place SKILL.md under .trae/skills/, .lingma/skills/, or .cursor/skills/.
  4. Reload the client, then describe your task so the agent can match this skill.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Universal — Skills CLI (recommended)

AgentHub CLI (change --ai)

# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai cursor -y

One-click API download

# 手动下载（Cursor 项目级示例）
mkdir -p .cursor/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d .cursor/skills/locus

Cursor

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai cursor -y

One-click API download

mkdir -p .cursor/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d .cursor/skills/locus

ClawHub CLI, then copy

# 在项目根目录执行 install
clawhub install cdermott7/locus
mkdir -p .cursor/skills/locus
cp -R ./skills/locus/. .cursor/skills/locus/

# 源：./skills/locus/SKILL.md
# 目标：.cursor/skills/locus/SKILL.md

Trae (ByteDance)

  1. Trae natively supports Skill specs: project-level in .trae/skills/<name>/, global in ~/.trae/skills/
  2. Copy and run the command in your project terminal to download SKILL.md
  3. Reload Trae window, then describe your task in AI chat to activate automatically

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai trae -y

One-click API download

mkdir -p .trae/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d .trae/skills/locus

User directory

mkdir -p ~/.trae/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d ~/.trae/skills/locus

Tongyi Lingma (Alibaba)

  1. Tongyi Lingma supports skills in project .lingma/skills/<name>/ or global ~/.lingma/skills/
  2. Run the command to install SKILL.md
  3. In Lingma Agent mode, prompt your task and the skill will be automatically loaded

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai lingma -y

One-click API download

mkdir -p .lingma/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d .lingma/skills/locus

User directory

mkdir -p ~/.lingma/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d ~/.lingma/skills/locus

WorkBuddy / CodeBuddy (Tencent)

  1. WorkBuddy reads skills only from .workbuddy/skills/<name>/ (user-level ~/.workbuddy/skills/); .codebuddy/skills/ belongs to CodeBuddy
  2. The Skills CLI command installs with -a codebuddy and appends a copy step into .workbuddy/skills
  3. AgentHub CLI (--ai workbuddy) syncs it for you; reload the chat panel so the skill gets indexed

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai workbuddy -y

One-click API download

mkdir -p .workbuddy/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d .workbuddy/skills/locus

User directory

mkdir -p ~/.workbuddy/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d ~/.workbuddy/skills/locus

Claude Code

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai claude-code --global -y

One-click API download

mkdir -p ~/.claude/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d ~/.claude/skills/locus

ClawHub CLI, then copy

clawhub install cdermott7/locus
mkdir -p ~/.claude/skills/locus
cp -R ./skills/locus/. ~/.claude/skills/locus/

# 源：./skills/locus/SKILL.md
# 目标：~/.claude/skills/locus/SKILL.md
# https://clawhub.ai/cdermott7/locus

Kimi Code (Moonshot AI)

  1. Kimi Code supports standard Agent Skills: project-level in .agents/skills/<name>/, global in ~/.agents/skills/
  2. Run the command to install
  3. In Kimi Code CLI, describe your task to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai kimi -y

One-click API download

mkdir -p .agents/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d .agents/skills/locus

User directory

mkdir -p ~/.agents/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d ~/.agents/skills/locus

Qwen Code (Alibaba)

  1. Qwen Code supports project .qwen/skills/<name>/ and global ~/.qwen/skills/
  2. Run the command to deploy SKILL.md
  3. Prompt the agent to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai qwen -y

One-click API download

mkdir -p .qwen/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d .qwen/skills/locus

User directory

mkdir -p ~/.qwen/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d ~/.qwen/skills/locus

Windsurf

  1. Windsurf supports project-level .windsurf/skills/<name>/ or global ~/.codeium/windsurf/skills/
  2. Run the install command and refresh Cascade
  3. Cascade will auto-activate the skill based on its description

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai windsurf -y

One-click API download

mkdir -p .windsurf/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d .windsurf/skills/locus

User directory

mkdir -p ~/.codeium/windsurf/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d ~/.codeium/windsurf/skills/locus

Cline

  1. Cline supports standard .agents/skills/<name>/ structure
  2. Run the command to install the skill
  3. Ask questions in the Cline panel to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai cline -y

One-click API download

mkdir -p .agents/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d .agents/skills/locus

Cherry Studio

  1. Use this skill as an Assistant system prompt in Cherry Studio
  2. Copy the command to view SKILL.md text
  3. Paste the contents into Cherry Studio Assistant system prompt
# 下载并提取 SKILL.md 指令内容
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -p /tmp/locus.zip SKILL.md
# 复制上述输出，粘贴至 Cherry Studio → 助手设置 →「系统提示词」

VS Code / GitHub Copilot

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai vscode -y

One-click API download

curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
mkdir -p .github/skills/locus
unzip -o /tmp/locus.zip -d .github/skills/locus

OpenAI Codex

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init cdermott7/locus --ai codex --global -y

One-click API download

mkdir -p ~/.codex/skills/locus
curl -sL "https://clawhub.ai/api/v1/download?slug=locus&version=1.3.0" -o /tmp/locus.zip
unzip -o /tmp/locus.zip -d ~/.codex/skills/locus

ClawHub CLI, then copy

clawhub install cdermott7/locus
mkdir -p ~/.codex/skills/locus
cp -R ./skills/locus/. ~/.codex/skills/locus/

# 源：./skills/locus/SKILL.md
# 目标：~/.codex/skills/locus/SKILL.md

OpenClaw — ClawHub CLI

# OpenClaw / ClawHub CLI（推荐）
# 在项目根或 OpenClaw 工作区目录执行
clawhub install cdermott7/locus

# 安装后 SKILL.md 位于：
#   ./skills/locus/SKILL.md
# （若已配置 OpenClaw 工作区，则在 <workspace>/skills/locus/）

# 仅查看不安装
clawhub inspect cdermott7/locus

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for Locus

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for Locus?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Agent does not match or apply Locus during conversations?

Verify SKILL.md is located at .cursor/skills/Locus/SKILL.md (Cursor) or ~/.claude/skills/Locus/SKILL.md (Claude Code). You can explicitly mention the skill name in your prompt to boost match confidence.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

Locus Rule Injection & Agent Behavior Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: agent_skill_runtimeInject system prompt guidelines & workflow constraints from Locus
Request ArgumentsJSON Schema
{
  "skill": "Locus",
  "rulePath": ".cursor/skills/locus/SKILL.md",
  "userGoal": "请使用 Locus 的方法与标准帮我完成当前任务",
  "client": "Cursor / Claude Code"
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • When your AI Agent needs tool calling capabilities in this domain
  • Automating repetitive workflows in your IDE or terminal
  • Pairing with modern clients supporting MCP/Skill standards
When NOT to Use
  • When missing required API secrets or local runtime prerequisites
  • Pure conversational requests that don't need external system access
Recommended Workflow Pairing:

Locus + Scenario Prompt → Complete Agent Automation

Skill hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

An Agent Skill is a folder with SKILL.md instructions. After install, the AI loads it automatically when your task matches its description.

How to use

After installing, describe your task in chat (or mention the skill name). The agent reads the skill description to decide when to activate it, then follows the instructions in SKILL.md. Check loaded skills via /skills in Claude Code or in your client settings.

Related resources

PC Build Assistant

v0.1.46

SkillClawHub5.3k

io.clawhub.gongyu0918-debug/pc-builder-assistant

Use for budget desktop PC build planning and recommendations, PC hardware DIY, upgrades, configuration completion, compatibility checks, hardware guidance, local LLM GPU/VRAM/RAM sizing, and gaming, streaming, creator, aesthetic, compact or ITX builds. Bundled prices are China-market CNY references; explicit user overlays keep currencies separate. 中文支持预算装机、装机 DIY、整机推荐、旧机升级、配置补全、搭配或兼容检查、硬件问答，以及游戏直播、生产力、本地 AI、外观海景房和紧凑或 ITX 主机。 Do not use for laptops, server procurement, ordering or payment, remote control, security isolation, or standalone software, game or agent tutorials.

source
View on ClawHub

sentisense

v2.21.2

SkillClawHub4.2k

io.clawhub.thesentitrader/sentisense

US stock market data API for AI agents: news and social sentiment, the SentiSense Score, the SentiSense Rating daily A to F letter grade, insider Form 4 trades, congressional STOCK Act disclosures, institutional 13F holdings and flows, options positioning, analyst ratings, the earnings calendar, AI-generated market insights, and stock prices. One free API key covers every endpoint. Use for stock sentiment API, stock market API, stock rating API, stock letter grade, insider trading data, congress stock trades, 13F holdings, options flow, earnings calendar, stock price API, market data for AI agents. Read-only. No trading, no purchases, no write operations, no wallet access.

source
View on ClawHub

Skill Txf Roll

v1.23.17

SkillClawHub3.4k

io.clawhub.blave-wei/blave-quant-skill

Use for: (1) Blave market alpha data — 籌碼集中度 Holder Concentration, 多空力道 Taker Intensity, 巨鯨警報 Whale Hunter, 擠壓動能 Squeeze Momentum, 市場方向 Market Direction, 資金稀缺 Capital Shortage, 板塊輪動 Sector Rotation (history + heat-map overview), OI 失衡 OI Imbalance, Blave頂尖交易員 Top Trader Exposure, kline (every Binance USDT perpetual incl. tokenized stocks, 1min K線 from 2020-01 or listing), alpha table, 市場情緒 Market Sentiment, 每幣爆倉 Liquidation by coin (24 h USD liquidations per exchange + hourly series), 爆倉矩陣 liquidation exchange matrix (whole-market coin × exchange totals over a rolling window), 多空比 long/short ratio raw data (10 feeds — Binance / OKX / Gate.io × account, top account, top position + Bybit account; cross-coin table + per-coin 7-day hourly series), 未平倉量 open interest raw data (5 exchanges, USDT-margined perps in one-sided USD notional, OI ÷ market cap; table + per-coin) + 未平倉量歷史 open interest history (one coin on one exchange — Binance / Bybit / Gate.io — in coins, 5-minute resolution, for backtests), 主動買賣淨額 CVD (

source
View on ClawHub

Planning with files

v3.23.0

SkillClawHub44.6k

io.clawhub.othmanadi/planning-with-files

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

source
View on ClawHub

Often paired with

Keep exploring AgentHub

Most people compare similar tools or check scenario guides before installing—start here.

Browse more like thisSearch similarPick by scenarioPrompt playbooksSkill hands-onReviews & comparisons

Listing badge: put AgentHub on your site

Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

PreviewListed on AgentHub: Locus
HTML
<a href="https://myagenthub.cn/p/io.clawhub.cdermott7/locus" title="Listed on AgentHub: Locus" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.clawhub.cdermott7/locus?lang=en" alt="Listed on AgentHub: Locus" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: Locus](https://myagenthub.cn/badge/io.clawhub.cdermott7/locus?lang=en)](https://myagenthub.cn/p/io.clawhub.cdermott7/locus)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.clawhub.cdermott7/locus",
  "type": "skill",
  "version": "1.3.0",
  "displayName": "Locus",
  "description": "Locus payment tools for AI agents. Use when asked to send payments, check wallet balances, list tokens, approve token spending, or process payment-related actions from emails. Also use for demos of Locus (YC F25) payment infrastructure — scanning emails for payment requests and initiating crypto payments via wallet.",
  "author": {
    "name": "cdermott7",
    "url": "https://clawhub.ai/cdermott7"
  },
  "homepage": "https://clawhub.ai/cdermott7/locus",
  "distribution": {
    "packages": [
      {
        "registryType": "source",
        "identifier": "cdermott7/locus",
        "version": "1.3.0",
        "runtimeHint": "clawhub install"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "openclaw",
    "claude-code",
    "claude-desktop",
    "cursor",
    "codex",
    "vscode"
  ],
  "keywords": [
    "downloads:3172",
    "stars:1",
    "installs:107",
    "Wallet",
    "Crypto",
    "Payment"
  ],
  "provenance": {
    "origin": "clawhub",
    "originalId": "cdermott7/locus",
    "originalUrl": "https://clawhub.ai/cdermott7/locus",
    "isOfficial": false,
    "status": "active"
  }
}
Locus Skill Install & Guide - AgentHub