guidance

guidance is a skill for Claude Code, Codex from agentscope-ai/QwenPaw. It costs 42 tokens per session (1,331 once invoked), scanned A, original, Apache-2.0.

A guide for answering questions about installing and configuring QwenPaw, a software tool with local documentation. It says to check those documents first and use official website information only when needed.

In plain words
What is it for?
Explaining setup, initialization, environment configuration, required software, and common QwenPaw settings.
Why use it?
It reduces guesswork about installation steps, dependencies, and configuration settings. Answers are based on available documentation rather than assumptions.

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 Explaining setup, initialization, environment configuration, required software, and common QwenPaw settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentscope-ai/qwenpaw/guidance-en
About the project

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.

agentscope-ai/QwenPaw · 34,741 stars · on GitHub · qwenpaw.agentscope.io

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/QwenPaw --skill guidance-en
Clone the repo
git clone --depth 1 https://github.com/agentscope-ai/QwenPaw

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/qwenpaw/guidance-en/github.svg)](https://agentmods.dev/skills/agentscope-ai/qwenpaw/guidance-en)
Your own site
<a href="https://agentmods.dev/skills/agentscope-ai/qwenpaw/guidance-en"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/guidance-en/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/qwenpaw/guidance-en"><img src="https://agentmods.dev/badge/skills/agentscope-ai/qwenpaw/guidance-en.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,331 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. ✓ AI security review Fable 5.1 · 6 Sept 2026 📄 Read the review Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00042 $0.01331
Opus 5 $0.00021 $0.00665
Sonnet 5 $0.00008 $0.00266
Haiku 4.5 $0.00004 $0.00133

Measured 12d ago against content hash f07e74a89781, 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 12d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • guidance — 91% identical, 34 lines differ
src/qwenpaw/agents/skills/guidance-en/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QwenPaw Installation and Configuration Q&A Guide

Use this skill when the user asks about QwenPaw installation, initialization, environment configuration, dependency requirements, or common configuration options.

Core principles:

  • Check local documentation first, then answer
  • Base answers on what has actually been read, do not speculate
  • Answer in the same language the user used to ask

Standard Flow

Step 1: Locate the Documentation Directory

Use built-in path resolution (works for all install methods)

DOCS_DIR=$(python3 -c "from qwenpaw.constant import DOCS_DIR; print(DOCS_DIR or '')" 2>/dev/null)

If the above returns a non-empty path and the directory exists, use it directly and skip to Step 2.

If it fails (e.g., older version without DOCS_DIR), fall back in the following order:

Check for documentation directory in memory

First, check whether there is a documentation directory in memory. If found, use it directly; otherwise, proceed to the next step.

# Get the documentation directory from memory
DOCS_DIR=$(find ~/.qwenpaw/memory/ -type d -name "docs")

If there is no documentation directory in memory, continue with the following logic.

Check the documentation directory in the project source code

Run the following script logic to obtain the variable $QWENPAW_ROOT:

# Get the absolute path of the binary
QWENPAW_PATH=$(which qwenpaw 2>/dev/null || whereis qwenpaw | awk '{print $2}')

# Logical deduction: if the path contains .qwenpaw/bin/qwenpaw, the root is three levels up
# Example: /path/to/QwenPaw/.qwenpaw/bin/qwenpaw -> /path/to/QwenPaw
if [[ "$QWENPAW_PATH" == *".qwenpaw/bin/qwenpaw" ]]; then
    QWENPAW_ROOT=$(echo "$QWENPAW_PATH" | sed 's/\/\.qwenpaw\/bin\/qwenpaw//')
else
    # Fallback: try to get the parent of the parent directory
    QWENPAW_ROOT=$(dirname $(dirname "$QWENPAW_PATH") 2>/dev/null || echo ".")
fi

echo "Detected QwenPaw Root: $QWENPAW_ROOT"

Verify and list the documentation directory: Use the derived $QWENPAW_ROOT to locate the documentation:

Read the full file on GitHub · 148 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. 12d ago First seen · 148 lines · 42 tokens per session scan A f07e74a89781

Subscribe to this mod's changes

guidance is a skill published in the GitHub repository agentscope-ai/QwenPaw (34,741 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 1,331 once invoked, about $0.0002 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.