install-qwenpaw

install-qwenpaw is a skill for Claude Code, Codex from alibaba/anolisa. It costs 88 tokens per session (2,422 once invoked), scanned D, original, Apache-2.0.

An installation guide for running the QwenPaw AI assistant on Alibaba Cloud Linux 4, including setup for DingTalk and Alibaba Cloud's model service.

In plain words
What is it for?
Use it to install QwenPaw, configure a model API key and DingTalk bot, write the service configuration, verify the files, and start the service.
Why use it?
It gathers the required credentials and provides either an automated script or manual steps, so the server can be configured and started consistently.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — built for qwenpaw. Also seen: mentions AGENTS.md; built for qwenpaw.

Good fit Use it to install QwenPaw, configure a model API key and DingTalk bot, write the service configuration, verify the files, and start the service.

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Install with agentmods
npx agentmods add skills/alibaba/anolisa/install-qwenpaw
About the project

ANOLISA is a server-side operating layer for AI agent workloads that provides terminal access, token-saving tool-output compression, runtime controls, security, observability, skills, memory, and sandbox management. It is for running and supervising agents from a Linux terminal while retaining an existing shell, agent framework, and sandbox. The catalogue add-ons are components of its agent operating environment and workflows.

alibaba/anolisa · 585 stars · on GitHub · agentic-os.sh

Install

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.

Any agent
npx skills add alibaba/anolisa --skill install-qwenpaw
Clone the repo
git clone --depth 1 https://github.com/alibaba/anolisa

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for install-qwenpaw

README.md
[![agentmods](https://agentmods.dev/badge/skills/alibaba/anolisa/install-qwenpaw/github.svg)](https://agentmods.dev/skills/alibaba/anolisa/install-qwenpaw)
Your own site
<a href="https://agentmods.dev/skills/alibaba/anolisa/install-qwenpaw"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/install-qwenpaw/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.

agentmods 80×15 button for install-qwenpaw

Your own site · 80×15
<a href="https://agentmods.dev/skills/alibaba/anolisa/install-qwenpaw"><img src="https://agentmods.dev/badge/skills/alibaba/anolisa/install-qwenpaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,422 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 3 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00088 $0.02422
Opus 5 $0.00044 $0.01211
Sonnet 5 $0.00018 $0.00484
Haiku 4.5 $0.00009 $0.00242

Measured 10d ago against content hash 8ad66d212971, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade D, and why

install-qwenpaw scanned grade D with 3 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/setup.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

chmod 700 ~/.qwenpaw.secret ~/.qwenpaw.secret/providers ~/.qwenpaw.secret/providers/builtin ~/.qwenpaw.secret/providers/custom

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 -LsSf https://astral.sh/uv/install.sh | sh

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

# curl -LsSf https://astral.sh/uv/install.sh | sh
src/os-skills/ai/install-qwenpaw/SKILL.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QwenPaw Linux 服务器安装部署

前置信息收集

开始前必须向用户获取以下信息,缺一不可:

  1. 百炼 API Key — 格式以 sk- 开头,从 https://bailian.console.aliyun.com/ 获取
  2. 钉钉 Client ID — 即 AppKey,从钉钉开发者后台获取
  3. 钉钉 Client Secret — 即 AppSecret,从钉钉开发者后台获取
  4. 模型名称(可选)— 默认 qwen3-max,可选 qwen3-235b-a22b-thinking-2507deepseek-v3.2

一键部署(推荐)

本 skill 提供了一键部署脚本 scripts/setup.sh,收集到用户信息后直接执行:

bash scripts/setup.sh <百炼API_KEY> <钉钉CLIENT_ID> <钉钉CLIENT_SECRET> [模型名称]

示例:

bash scripts/setup.sh sk-76f003xxx dingxxxxx your_secret
bash scripts/setup.sh sk-76f003xxx dingxxxxx your_secret qwen3-235b-a22b-thinking-2507

脚本会自动完成:检查 uv → 安装 QwenPaw → 创建目录 → 写入配置(替换占位符)→ 验证文件 → 后台启动服务。

执行前需要先将本 skill 目录上传到服务器,或通过工具将 scripts/setup.shreference/ 目录写入服务器。


手动分步部署

如果脚本不可用,按以下步骤手动操作。

步骤 1: 检查并安装 uv

QwenPaw 依赖 uv 作为 Python 包管理器。优先通过阿里云镜像安装,失败时用官方脚本兜底:

if command -v uv &>/dev/null; then
  echo "uv 已安装: $(uv --version)"
else
  # 方式 1: pip + 阿里云镜像(推荐)
  pip install uv -i https://mirrors.aliyun.com/pypi/simple/
  # 方式 2: 官方安装脚本(pip 不可用时)
  # curl -LsSf https://astral.sh/uv/install.sh | sh
fi

步骤 2: 安装 QwenPaw

# 方式 1: 阿里云镜像(推荐)
uv pip install qwenpaw --index-url https://mirrors.aliyun.com/pypi/simple/

# 方式 2: 官方安装脚本(镜像不可用时)
# curl -fsSL https://qwenpaw.agentscope.io/install.sh | bash
# source ~/.bashrc

验证:

qwenpaw --version

找不到命令时手动加 PATH:

export PATH="$HOME/.qwenpaw/bin:$PATH"
echo 'export PATH="$HOME/.qwenpaw/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc

步骤 3: 创建目录结构

mkdir -p ~/.qwenpaw/media
mkdir -p ~/.qwenpaw/active_skills
mkdir -p ~/.qwenpaw/customized_skills
mkdir -p ~/.qwenpaw.secret/providers/builtin
mkdir -p ~/.qwenpaw.secret/providers/custom
chmod 700 ~/.qwenpaw.secret ~/.qwenpaw.secret/providers ~/.qwenpaw.secret/providers/builtin ~/.qwenpaw.secret/providers/custom

步骤 4: 写入配置文件

读取 reference/ 下的模板文件,替换占位符后写入目标路径。

3a: config.json(含钉钉频道配置)

读取 reference/config.json.example,替换后写入 ~/.qwenpaw/config.json

Read the full file on GitHub · 274 lines

Files

What ships with it

10 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.

Changes

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.

  1. 10d ago First seen · 274 lines · 88 tokens per session scan D 8ad66d212971

Subscribe to this mod's changes

install-qwenpaw is a skill published in the GitHub repository alibaba/anolisa (585 stars, last pushed today), licensed Apache-2.0. It adds 88 tokens to every session and 2,422 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it D with 3 findings (asks for root, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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