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generate a bunch of images, then you curate the results to handpick the best ones
AgentOS Mesh Communication Skill
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install agentossoftware/agentos-mesh打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Version: 1.2.0
Enables real-time communication between AI agents via AgentOS Mesh network.
.ok instead of .message.id)# Install the skill
clawdhub install agentos-mesh
# Run the installer
bash ~/clawd/skills/agentos-mesh/scripts/install.sh
# Configure (create ~/.agentos-mesh.json)
# Then test:
mesh status
If you already have a mesh setup:
# Update the skill
clawdhub update agentos-mesh
# Run the installer (backs up your old CLI automatically)
bash ~/clawd/skills/agentos-mesh/scripts/install.sh
Your existing ~/.agentos-mesh.json config is preserved.
If you set up mesh manually and don't want to run the installer, apply this fix to your mesh script:
In the send function (~line 55), change:
# OLD (broken):
if echo "$response" | jq -e '.ok' > /dev/null 2>&1; then
# NEW (fixed):
if echo "$response" | jq -e '.message.id' > /dev/null 2>&1; then
Also update the success output:
# OLD:
echo "$response" | jq -r '.message_id // "sent"'
# NEW:
echo "$response" | jq -r '.message.id'
Create ~/.agentos-mesh.json:
{
"apiUrl": "http://your-server:3100",
"apiKey": "agfs_live_xxx.yyy",
"agentId": "your-agent-id"
}
Or set environment variables:
export AGEN...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# AgentOS Mesh Communication Skill
**Version:** 1.2.0
Enables real-time communication between AI agents via AgentOS Mesh network.
## Changelog
### v1.2.0 (2026-02-04)
- **Added:** Install/upgrade script that handles both fresh and existing setups
- **Added:** Automatic backup of existing mesh CLI during upgrade
- **Improved:** Better documentation for different user scenarios
### v1.1.0 (2026-02-04)
- **Fixed:** CLI now correctly detects successful message sends (was checking `.ok` instead of `.message.id`)
- **Improved:** Better error handling in send command
---
## Quick Start
### Fresh Install (New Clawdbot Users)
```bash
# Install the skill
clawdhub install agentos-mesh
# Run the installer
bash ~/clawd/skills/agentos-mesh/scripts/install.sh
# Configure (create ~/.agentos-mesh.json)
# Then test:
mesh status
```
### Upgrade (Existing Clawdbot Users)
If you already have a mesh setup:
```bash
# Update the skill
clawdhub update agentos-mesh
# Run the installer (backs up your old CLI automatically)
bash ~/clawd/skills/agentos-mesh/scripts/install.sh
```
Your existing `~/.agentos-mesh.json` config is preserved.
### Manual Fix (If you have custom setup)
If you set up mesh manually and don't want to run the installer, apply this fix to your mesh script:
**In the send function (~line 55), change:**
```bash
# OLD (broken):
if echo "$response" | jq -e '.ok' > /dev/null 2>&1; then
# NEW (fixed):
if echo "$response" | jq -e '.message.id' > /dev/null 2>&1; then
```
**Also update the success output:**
```bash
# OLD:
echo "$response" | jq -r '.message_id // "sent"'
# NEW:
echo "$response" | jq -r '.message.id'
```
---
## Prerequisites
- AgentOS account (https://brain.agentos.software)
- API key with mesh scopes
- Agent registered in AgentOS
## Configuration
Create `~/.agentos-mesh.json`:
```json
{
"apiUrl": "http://your-server:3100",
"apiKey": "agfs_live_xxx.yyy",
"agentId": "your-agent-id"
}
```
Or set environment variables:
```bash
export AGEN...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.