Knowledge Search
dataelement/bisheng
Search the user's knowledge bases and knowledge spaces (企业知识库检索).
Chinese-language edition of the QwenPaw setup Q&A skill: it checks local docs before answering, replies in the asker's language and falls back to the official site.
SKILL.md written in Chinese; this summary is our English description.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-zh .claude/skills/guidance && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-zh into .claude/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-zhType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-zh .agents/skills/guidance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-zh into .agents/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-zh .cursor/skills/guidance && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-zh into .cursor/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentscope-ai/QwenPaw.git --path src/qwenpaw/agents/skills/guidance-zh--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-zh .gemini/skills/guidance && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-zh into .gemini/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentscope-ai/QwenPaw guidanceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-zh .github/skills/guidance && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-zh into .github/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentscope-ai/QwenPaw --skill guidance -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentscope-ai/QwenPaw guidance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentscope-ai/QwenPaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/qwenpaw/agents/skills/guidance-zh .opencode/skills/guidance && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "guidance" agent skill from https://github.com/agentscope-ai/QwenPaw/tree/main/src/qwenpaw/agents/skills/guidance-zh into .opencode/skills/guidance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "guidance", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
guidanceChinese-language edition of the QwenPaw setup Q&A skill: it checks local docs before answering, replies in the asker's language and falls back to the official site.
This variant covers the same ground as the English guidance skill for QwenPaw, with its instructions written in Chinese. The agent works in five steps: locate the documentation directory, search and match files by keywords such as install, env and setup, read the relevant sections, extract the key information, and optionally consult the official website at qwenpaw.agentscope.io when local material is missing or incomplete.
Answers should lead with a direct conclusion, then give steps, commands or configuration examples, then prerequisites and common pitfalls. Quality rules ask the agent not to invent configuration items or commands, to flag version differences as depending on the current documentation, to quote copyable snippets for paths, commands and keys, and to say what is missing (operating system, install method or error log) when information is still lacking. A website-sourced answer must say so.
Read from SKILL.md and the folder at commit 3b961b7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
qwenpaw.agentscope.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
QwenPaw Setup Q&A (Chinese Edition) loads about 689 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 71 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from agentscope-ai/QwenPaw at commit 3b961b7, republished under its Apache-2.0 licence (© agentscope-ai). 71 words, ~689 tokens.
.claude/skills/guidance/SKILL.md (or your agent's skills folder).当用户询问 QwenPaw 的安装、初始化、环境配置、依赖要求、常见配置项 时,使用本 skill。
核心原则:
优先使用内置路径解析(适用于所有安装方式)
DOCS_DIR=$(python3 -c "from qwenpaw.constant import DOCS_DIR; print(DOCS_DIR or '')" 2>/dev/null)如果上面获取到了非空路径且目录存在,直接使用,跳到第二步。
如果获取失败(例如旧版本未包含 DOCS_DIR),按以下顺序 fallback:
查找记忆中的文档目录
首先你可以查看memory中是否有文档目录,如果有则直接使用,如果没有则继续执行下一步。
# 获取memory中的文档目录
DOCS_DIR=$(find ~/.qwenpaw/memory/ -type d -name "docs")如果 memory 中没有文档目录,则继续执行下面的逻辑。
检查项目源码中的文档目录
执行以下脚本逻辑来获取变量 $QWENPAW_ROOT:
# 获取二进制绝对路径
QWENPAW_PATH=$(which qwenpaw 2>/dev/null || whereis qwenpaw | awk '{print $2}')
# 逻辑推导:如果路径包含 .qwenpaw/bin/qwenpaw,则根目录在其上三层
# 例如:/path/to/QwenPaw/.qwenpaw/bin/qwenpaw -> /path/to/QwenPaw
if [[ "$QWENPAW_PATH" == *".qwenpaw/bin/qwenpaw" ]]; then
QWENPAW_ROOT=$(echo "$QWENPAW_PATH" | sed 's/\/\.qwenpaw\/bin\/qwenpaw//')
else
# 兜底:尝试获取所在目录的父目录
QWENPAW_ROOT=$(dirname $(dirname "$QWENPAW_PATH") 2>/dev/null || echo ".")
fi
echo "Detected QwenPaw Root: $QWENPAW_ROOT"验证并列出文档目录: 使用推导出的 $QWENPAW_ROOT 定位文档:
# 组合标准文档路径
DOCS_DIR="$QWENPAW_ROOT/website/public/docs/"
# 检查路径是否存在并列出文件
if [ -d "$DOCS_DIR" ]; then
find "$DOCS_DIR" -type f -name "*.md" | head -n 100
else
# 如果推导路径不对,执行全局模糊搜索
find "$QWENPAW_ROOT" -type d -name "docs" | grep "website/public/docs"
fi如果项目文档不存在,搜索工作目录
如果还是找不到文档,搜索 qwenpaw 安装路径下的可用文档内容:
# 寻找 faq.en.md 或 config.zh.md 等特征文件
FILE_PATH=$(find . -type f -name "faq.en.md" -o -name "config.zh.md" | head -n 1)
if [ -n "$FILE_PATH" ]; then
# 使用 dirname 获取该文件所在的目录
DOCS_DIR=$(dirname "$FILE_PATH")
fi如果找到了文档目录,请你记录在 memory 中,格式为:
# 文档目录
$DOCS_DIR = <doc_path>文档文件命名格式为 <topic>.<lang>.md(如 config.zh.md、config.en.md、quickstart.zh.md)。
使用 find 命令在目标目录中列出所有符合后缀的文档,并根据文件名关键字(如 install, env, setup)锁定目标作为 <doc_path>。
# 列出所有符合后缀的文档
find $DOCS_DIR -type f -name "*.md"如果没有合适的文档,则在下一步阅读所有文档内容。
找到候选文档后,读取并确认与问题相关的段落。可使用:
cat <doc_path>file_reader skill(推荐用于更长文档或分段读取)如果文档很长,优先读取和问题最相关的章节(安装步骤、配置项、示例命令、注意事项、版本要求)。
从文档中提取关键信息,组织成可执行答案:
语言要求:回答语言必须与用户提问语言一致(中文问就中文答,英文问就英文答)。
若前面步骤无法完成(本地无文档、文档缺失、信息不足),使用官网作为兜底:
基于官网可获得内容继续回答,并在答案中明确说明该结论来自官网文档。
© agentscope-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in src/qwenpaw/agents/skills/guidance-zh of agentscope-ai/QwenPaw.
Open the folder on GitHubat commit 3b961b7
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in agentscope-ai/QwenPaw, which our catalogue first saw on October 7, 2026.
QwenPaw Setup Q&A (Chinese Edition) next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| QwenPaw Setup Q&A (Chinese Edition) this skillagentscope-ai/QwenPaw | 36k | — | ~689 | Automated safety check: Pass | Apache-2.0 | |
| Knowledge Searchdataelement/bisheng | 12k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything | 86k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Wxo BuilderIBM/ibm-watsonx-orchestrate-adk | 178 | — | ~6.8k | Automated safety check: Notes | MIT | |
| Mini Context Graphgithub/awesome-copilot | 40k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Modeling Threats With Openctimukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.8k | Automated safety check: Notes | Apache-2.0 |
dataelement/bisheng
Search the user's knowledge bases and knowledge spaces (企业知识库检索).
Egonex-AI/Understand-Anything
Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.
IBM/ibm-watsonx-orchestrate-adk
A skill your agent uses when building, testing, debugging, or publishing IBM watsonx Orchestrate agents, tools, flows, connections, knowledge bases, or custom models with the orchestrate CLI or ADK…
github/awesome-copilot
A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph.
mukul975/Anthropic-Cybersecurity-Skills
Deploy OpenCTI (Filigran) via Docker Compose and use the pycti Python client to model threat actors, intrusion sets, campaigns, and indicators as a STIX 2.1 knowledge graph with relationships (uses…
techwolf-ai/ai-first-toolkit
Add new sources to your knowledge base or re-scrape existing ones to pick up changes.
agentscope-ai/QwenPaw
Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.
agentscope-ai/QwenPaw
Turns reusable decisions, templates or workflows from the current conversation into a new workspace skill through plan, approval, draft, validation and publication.
agentscope-ai/QwenPaw
Creates a focused workspace skill from the current conversation in QwenPaw, moving through a planning, approval, drafting, validation and publishing script pipeline.
agentscope-ai/QwenPaw
Creates and manages scheduled or recurring jobs with the qwenpaw cron commands, always tied to an explicit agent ID and a confirmed target channel.
agentscope-ai/QwenPaw
Creates, reads and edits Word .docx files, including tracked changes and comments, using docx-js for new files and XML editing for existing ones.
agentscope-ai/QwenPaw
Connects, registers, and operates a personal mailbox, reading, searching, sending, and organizing, through a managed mail server for nine domains.
Works with
Categories
Chinese-language edition of the QwenPaw setup Q&A skill: it checks local docs before answering, replies in the asker's language and falls back to the official site. This variant covers the same ground as the English guidance skill for QwenPaw, with its instructions written in Chinese.io when local material is missing or incomplete.
QwenPaw Setup Q&A (Chinese Edition) fits situations like: asking in Chinese how to install or configure QwenPaw; checking which dependencies or environment settings QwenPaw needs; getting a copyable command or config snippet taken from the QwenPaw docs.
Run `npx skills add agentscope-ai/QwenPaw --skill guidance -a claude-code`. Or copy the skill folder (src/qwenpaw/agents/skills/guidance-zh in agentscope-ai/QwenPaw) into .claude/skills/guidance in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentscope-ai/QwenPaw --skill guidance -a codex`. Or copy the skill folder (src/qwenpaw/agents/skills/guidance-zh in agentscope-ai/QwenPaw) into .agents/skills/guidance in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentscope-ai/QwenPaw --skill guidance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/guidance, .gemini/skills/guidance, .github/skills/guidance and .opencode/skills/guidance in your project.
Going by SKILL.md and its folder, QwenPaw Setup Q&A (Chinese Edition) needs the command-line tools its instructions call (python3). Our summary lists: A QwenPaw installation with its local documentation; Python 3 for the DOCS_DIR lookup.
SKILL.md names 1 domain. As links in the text: qwenpaw.agentscope.io. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
QwenPaw Setup Q&A (Chinese Edition) is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 689 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with QwenPaw Setup Q&A (Chinese Edition): Knowledge Search (dataelement/bisheng, 12k stars), LLM Wiki Knowledge Graph (Egonex-AI/Understand-Anything, 86k stars), Wxo Builder (IBM/ibm-watsonx-orchestrate-adk, 178 stars) and Mini Context Graph (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentscope-ai (a GitHub organization) maintains it in agentscope-ai/QwenPaw, which has 35,548 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 10, 2026.
Source: agentscope-ai/QwenPaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.