QwenPaw is a personal AI assistant that runs on a local machine or in the cloud and connects to multiple chat applications. It provides memory, file workspaces, multiple agents, skills, plugins, and integrations with language-model providers and external tools. The catalogue entries are skills that extend its capabilities.
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 agentscope-ai/QwenPaw --skill make-skill-zhgit clone --depth 1 https://github.com/agentscope-ai/QwenPawWrote 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/agentscope-ai/qwenpaw/make-skill-zh)<a href="https://agentmods.dev/skills/agentscope-ai/qwenpaw/make-skill-zh"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/make-skill-zh/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/agentscope-ai/qwenpaw/make-skill-zh"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/make-skill-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00065 | $0.01616 |
| Opus 5 | $0.00032 | $0.00808 |
| Sonnet 5 | $0.00013 | $0.00323 |
| Haiku 4.5 | $0.00006 | $0.00162 |
Grade A, and why
make-skill 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 5d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
创建 Skill
从当前原始对话创建一个新的 workspace Skill。按以下生命周期使用本目录脚本，不依赖 make-skill 专属的 core tool、mode 或状态存储。
通过 execute_shell_command 运行下文每个 python scripts/... 命令，并将 cwd 设为 available-skills 条目中本 Skill 的 <dir>；每个脚本从 stdin（或 --input <file>）读取一个 JSON 对象，并向 stdout 写出一个 JSON 对象。
计划
/make-skill <focus> 的 focus 必填；自然语言请求则结合请求和当前对话推断。用户较晚的纠正会替换冲突的旧规则。保留会改变未来 agent 行为的稳定指导、契约、模板和流程，排除一次性数据、临时路径、密钥与重试噪声。
阅读主类型与包结构，选择一个主类型和实际需要的文件。计划的测试模式不是 off 时，在定义测试目标前阅读行为测试。
Batch workflow
存储 Batch 是随 workflow Skill 一起提供的参数化 run_tool_batch 程序。当一个可复用区域的动作、分支和成功条件能在执行前说明，并且存储入口能实质减少 agent 与工具往返时，设置 batch: true。该区域可以是完整 workflow、一个 substantial helper，或一个语义完整的 tool-native action；action 数量不是判据。只要处理规则已经确定，运行时数据、observation 和最终 agent review 都不妨碍使用 Batch。
只有运行时必须重新发明下一步或成功条件，或者统一入口没有实际复用价值时，才设置 batch: false。用户明确要求 Batch 时，把它视为已批准的计划修订，直接修改计划，不再争论 eligibility。
只有选择 batch: true 后，才在最终确定 workflow 和文件树前阅读运行 Batch；batch: false 时不要读取。
计划阶段除运行 python scripts/create_plan.py 外只读：依据对话证据和已有产物判断，不执行或探测候选工作流，不创建文件，也不初始化 draft。通过 stdin 传入候选计划：
{
"revision": 1,
"focus": "一句话说明提炼范围",
"name": "lowercase-hyphen-name",
"goal": "未来 agent 要达成的结果",
"type": "workflow",
"batch": true,
"steps": ["用户可判断的流程步骤"],
"package": ["SKILL.md", "scripts/run.batch.json"],
"execution": "foreground",
"test": {"mode": "off", "target": ""},
"warnings": []
}
用中文渲染规范化计划，并把已选值和全部可选项一起展示，让用户无需了解 schema 也能修改。用户可见计划必须包含下列紧凑选项表，不得用散文或批准提示代替；非 workflow 省略 Batch 行：
| 选项 | 当前值 | 全部可选 |
|---|---|---|
| 类型 | 当前中文值 | 指令 / 模板 / 工作流 |
| Batch（仅 workflow） | 启用或关闭 | 启用 / 关闭 |
| 执行方式 | 前台或后台 | 前台 / 后台 |
| 行为测试 | 当前中文值 | 关闭 / 冒烟测试 / 完整评测 |
传给脚本的值仍分别使用 instruction/template/workflow、true/false、foreground/background 和 off/smoke/eval。同时展示名称、目标、工作流、完整文件树、适用时的测试目标和警告。不得发明脚本 schema 之外的选项；不展示 Batch 关闭理由、schema、revision 或内部 enum。请用户批准、修改或取消，然后结束当前响应，不再调用工具。只有后续新的用户消息明确批准已展示的 revision，才继续执行。
- 用户修改后合并最新反馈、增加
revision、重跑create_plan.py并展示完整返回结果。 - 取消时停止；模糊回复只追问一次简短确认。
- execution 和 test 已在计划中，不再单独询问。
What ships with it
7 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.
- 5d ago Changed · -534 lines · -19 tokens per session aae568e5a5fc
- 13d ago First seen · 640 lines · 84 tokens per session scan A ace46f89bbc9
make-skill is a skill published in the GitHub repository agentscope-ai/QwenPaw (34,809 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 1,616 once invoked, about $0.0003 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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