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 QianWen-AI/qianwenai-deploy --skill skillgit clone --depth 1 https://github.com/QianWen-AI/qianwenai-deployWrote 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/qianwen-ai/qianwenai-deploy/skill)<a href="https://agentmods.dev/skills/qianwen-ai/qianwenai-deploy/skill"><img src="https://agentmods.dev/badge/skills/qianwen-ai/qianwenai-deploy/skill/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/qianwen-ai/qianwenai-deploy/skill"><img src="https://agentmods.dev/badge/skills/qianwen-ai/qianwenai-deploy/skill.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 | $0.00182 | $0.01687 |
| Opus 5 | $0.00091 | $0.00843 |
| Sonnet 5 | $0.00036 | $0.00337 |
| Haiku 4.5 | $0.00018 | $0.00169 |
Grade A, and why
qianwenai-deploy scanned grade A with 0 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 13d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
千问 AI 云部署
快速路径
- 路由任务 — 匹配到 3 种模式之一：全栈部署 · 热更新 · 删除/清理。
- 部署（默认） — 按步骤 1→13 执行，每步有对应 reference 文档。
- 创建资源前确认费用 — 人民币（¥）展示小时单价，取得用户确认。
- 记录状态 — 成功后写入
.qianwenai-deploy。
范围
| 范围内 | 范围外 |
|---|---|
| 本地项目/Git → 阿里云国内站 | 国际站 → 用 qwencloud-deploy |
| 全栈 ROS 编排、热更新、清理 | AWS/GCP/Azure/其他云 |
| ECS + 可选 RDS + OSS + 公网 IP | K8s/Serverless/容器编排 |
| OAuth/AK 认证（不收集凭证） | 域名/HTTPS（不涉及） |
假设
aliyunCLI 3.x 已安装；无有效凭证时按reference/deploy/01_env_check.md引导认证。- 默认地域
cn-hangzhou。
入口路由
| 信号 | 模式 |
|---|---|
存在 .qianwenai-deploy + 用户说「更新」 |
热更新 |
存在 .qianwenai-deploy + 「删除/清理/释放」 |
删除 |
| Git URL 或本地项目（无已有部署） | 全栈部署 |
触发时先展示欢迎话术（见 reference/rules/rule_interaction.md）。
全栈部署（步骤 1–13）
阶段 1 · 准备
| 步骤 | 动作 | 参考文档 |
|---|---|---|
| 1 | 环境检查 | reference/deploy/01_env_check.md |
| 2 | Git clone（Git URL 时） | reference/deploy/02_git_clone.md |
| 3 | 项目分析 | reference/deploy/03_analyze_project.md |
阶段 2 · 资源规划
| 步骤 | 动作 | 参考文档 |
|---|---|---|
| 4 | 存量部署扫描 | reference/deploy/04_check_existing.md |
| 5 | 数据库识别 | reference/deploy/05_database.md |
| 6 | ECS 规格选择 | reference/deploy/06_instance_type.md |
| 7 | 生成 ROS 模板 | reference/deploy/07_generate_template.md |
| 8 | 库存检查 | reference/deploy/08_check_stock.md |
| 9 | 模板验证 + 询价确认 | reference/deploy/09_estimate_cost.md |
阶段 3 · 执行
| 步骤 | 动作 | 参考文档 |
|---|---|---|
| 10 | 上传产物 + 重新生成模板 | reference/deploy/10_upload_artifacts.md |
| 11 | 创建栈 | reference/deploy/11_create_stack.md |
| 12 | 等待终态 + 探活 | reference/deploy/12_wait_stack.md |
| 13 | 记录状态 | reference/deploy/13_record_state.md |
热更新
触发：存在 .qianwenai-deploy + 用户想更新代码。IP 不变。
| 步骤 | 动作 | 参考文档 |
|---|---|---|
| U1 | 构建 + 上传新产物 | reference/deploy/10_upload_artifacts.md |
| U2 | 下发更新（Cloud Assistant） | reference/hotfix/update_app.md |
| U3 | 探活 + 更新状态 | reference/hotfix/update_app.md |
What ships with it
32 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.
- reference/cleanup/delete_stack.md 2.2 KB
- reference/deploy/01_env_check.md 3.2 KB
- reference/deploy/02_git_clone.md 1.2 KB
- reference/deploy/03_analyze_project.md 7.5 KB
- reference/deploy/04_check_existing.md 1.7 KB
- reference/deploy/05_database.md 1.2 KB
- reference/deploy/06_instance_type.md 906 B
- reference/deploy/07_generate_template.md 3.9 KB
- reference/deploy/08_check_stock.md 1.3 KB
- reference/deploy/09_estimate_cost.md 1.9 KB
- reference/deploy/10_upload_artifacts.md 3.0 KB
- reference/deploy/11_create_stack.md 3.2 KB
- reference/deploy/12_wait_stack.md 4.3 KB
- reference/deploy/13_record_state.md 4.1 KB
- reference/hotfix/update_app.md 3.0 KB
- reference/hotfix/update_recipe.md 5.5 KB
- reference/rules/rule_error_handling.md 6.1 KB
- reference/rules/rule_interaction.md 7.6 KB
- scripts/create_stack.sh 5.2 KB runs code
- scripts/delete_stack.sh 4.8 KB runs code
- scripts/generate_template.py 9.1 KB runs code
- scripts/record_state.py 6.5 KB runs code
- scripts/update_app.sh 19 KB runs code
- scripts/upload_artifacts.py 9.4 KB runs code
- scripts/wait_and_probe.py 12 KB runs code
- templates/ros_single_rds.yaml 7.4 KB
- templates/ros_single.yaml 4.1 KB
- templates/userdata/docker.sh 3.4 KB runs code
- templates/userdata/nginx_proxy.sh 1.6 KB runs code
- templates/userdata/nginx_static_proxy.sh 2.2 KB runs code
- templates/userdata/nginx_static.sh 1.8 KB runs code
- templates/userdata/systemd.sh 5.9 KB runs code
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.
- 13d ago First seen · 160 lines · 182 tokens per session scan A 9e332f768558
qianwenai-deploy is a skill published in the GitHub repository QianWen-AI/qianwenai-deploy (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 182 tokens to every session and 1,687 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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