guidance

guidance is a skill for Claude Code, Codex from agentscope-ai/skills. It costs 44 tokens per session (1,266 once invoked), scanned A, a copy of guidance, Apache-2.0.

A Chinese-language guide for answering questions about installing and configuring QwenPaw, an agent platform. It checks local documentation before giving an answer and falls back to the official documentation when needed.

In plain words
What is it for?
Use it for Chinese questions about QwenPaw installation, initialization, dependencies, and configuration settings.
Why use it?
It helps produce answers based on available documentation instead of assumptions about the installation or configuration.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for qwenpaw. Also seen: positional $N argument; built for qwenpaw.

Good fit Use it for Chinese questions about QwenPaw installation, initialization, dependencies, and configuration settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentscope-ai/skills/guidance-zh
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 agentscope-ai/skills --skill guidance-zh
Clone the repo
git clone --depth 1 https://github.com/agentscope-ai/skills

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 guidance

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentscope-ai/skills/guidance-zh/github.svg)](https://agentmods.dev/skills/agentscope-ai/skills/guidance-zh)
Your own site
<a href="https://agentmods.dev/skills/agentscope-ai/skills/guidance-zh"><img src="https://agentmods.dev/badge/skills/agentscope-ai/skills/guidance-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.

agentmods 80×15 button for guidance

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentscope-ai/skills/guidance-zh"><img src="https://agentmods.dev/badge/skills/agentscope-ai/skills/guidance-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,266 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 95% copy Near-identical to another mod 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 $0.00044 $0.01266
Opus 5 $0.00022 $0.00633
Sonnet 5 $0.00009 $0.00253
Haiku 4.5 $0.00004 $0.00127

Measured yesterday against content hash 41cde0ab8b48, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

guidance 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 yesterday.

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.

Origin

This is a copy

95% identical to guidance — 34 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/guidance-zh/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QwenPaw 安装与配置问答指南

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:

  • 先查本地文档,再回答
  • 回答要基于已读到的内容,不臆测
  • 回答语言与用户提问语言保持一致

标准流程

第一步:定位文档位置

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
DOC_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
COP_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 [[ "$COP_PATH" == *".qwenpaw/bin/qwenpaw" ]]; then
    QWENPAW_ROOT=$(echo "$COP_PATH" | sed 's/\/\.qwenpaw\/bin\/qwenpaw//')
else
    # 兜底:尝试获取所在目录的父目录
    QWENPAW_ROOT=$(dirname $(dirname "$COP_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
DOC_DIR="$QWENPAW_ROOT/website/public/docs/"

# 检查路径是否存在并列出文件
if [ -d "$DOC_DIR" ]; then
    find "$DOC_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
    DOC_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
$DOC_DIR = <doc_path>

第二步:文档检索与匹配

文档文件命名格式为 <topic>.<lang>.md(如 config.zh.mdconfig.en.mdquickstart.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 $DOC_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。

第三步:阅读文档内容

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)。

第四步:提取信息并作答

从文档中提取关键信息,组织成可执行答案:

Read the full file on GitHub · 138 lines

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. yesterday First seen · 138 lines · 44 tokens per session scan A 41cde0ab8b48

Subscribe to this mod's changes

guidance is a skill published in the GitHub repository agentscope-ai/skills (123 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 tokens to every session and 1,266 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to guidance, differing in 34 lines, and is treated as a copy.