Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cinience/alicloud-skills --skill aliyun-openclaw-setupgit clone --depth 1 https://github.com/cinience/alicloud-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-openclaw-setup)<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-openclaw-setup"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-openclaw-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cinience/alicloud-skills/aliyun-openclaw-setup"><img src="https://agentmods.dev/badge/skills/cinience/alicloud-skills/aliyun-openclaw-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00078 | $0.01626 |
| Opus 5 | $0.00039 | $0.00813 |
| Sonnet 5 | $0.00016 | $0.00325 |
| Haiku 4.5 | $0.00008 | $0.00163 |
Grade C, and why
aliyun-openclaw-setup scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://deb.nodesource.com/setup_20.x | bash - Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://deb.nodesource.com/setup_20.x | bash - How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenClaw Setup
Deploy OpenClaw on Linux, enable DingTalk, Feishu, Discord, or other documented channels, and verify gateway health.
Use This Workflow
Run this sequence in order:
- Prepare Linux runtime and install OpenClaw.
- Discover channels from official docs (required for new channel requests).
- Install and verify channel integrations.
- Create/merge
~/.openclaw/openclaw.json. - Configure and start gateway service.
- Run health checks and collect logs.
Prerequisites
- SSH access to target Linux host (Debian/Ubuntu preferred).
- DingTalk enterprise app credentials (
AppKey,AppSecret) for the official connector, or Feishu app credentials (App ID,App Secret), or Discord bot token. - DashScope API key.
Step 1: Prepare Runtime
ssh root@<server>
curl -fsSL https://deb.nodesource.com/setup_20.x | bash -
apt-get install -y nodejs
node --version
npm --version
Step 2: Install OpenClaw and Channel Integrations
npm install -g openclaw@latest
openclaw --version
# DingTalk official connector
openclaw plugins install @dingtalk-real-ai/dingtalk-connector --pin
# or install from official GitHub repo
openclaw plugins install https://github.com/DingTalk-Real-AI/dingtalk-openclaw-connector.git
openclaw plugins list | grep dingtalk
# Feishu channel
openclaw plugins install @openclaw/feishu
openclaw plugins list | grep feishu
# Discord channel (built-in, no extra plugin needed)
# Configure token in Step 3 and start gateway in Step 4
If upgrading from old DingTalk plugins, uninstall legacy plugin IDs first and keep only the official connector in plugins.allow.
Step 3: Auto-Discover Additional Channels from Official Docs
When user asks for any extra channel beyond current setup, do this first:
- Open
https://docs.openclaw.ai/channels/index. - Identify requested channel pages from the "Supported channels" list.
- Open each channel page and extract:
- Whether it is built-in or plugin-based.
- Exact install command (do not guess package names).
- Required credentials/tokens and config keys.
- Apply installation/configuration on host.
- Record channel-specific notes into
~/.openclaw/openclaw.json.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 169 lines · 78 tokens per session scan C 347bf566d4af
aliyun-openclaw-setup is a skill published in the GitHub repository cinience/alicloud-skills (396 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 1,626 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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