qr-code

qr-code is a skill for Claude Code, Codex from malue-ai/dazee-small. It costs 22 tokens per session (580 once invoked), scanned A, original, MIT.

A tool for creating QR codes and reading their contents. QR codes are square images that phones can scan to open links or store information such as Wi-Fi details or contact cards.

In plain words
What is it for?
It is for making QR codes for text, URLs, Wi-Fi access, and vCards, as well as decoding QR-code images.
Why use it?
It avoids making QR images by hand and can extract the encoded data from an existing image.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for making QR codes for text, URLs, Wi-Fi access, and vCards, as well as decoding QR-code images.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/malue-ai/dazee-small/qr-code
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 malue-ai/dazee-small --skill qr-code
Clone the repo
git clone --depth 1 https://github.com/malue-ai/dazee-small

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 qr-code

README.md
[![agentmods](https://agentmods.dev/badge/skills/malue-ai/dazee-small/qr-code/github.svg)](https://agentmods.dev/skills/malue-ai/dazee-small/qr-code)
Your own site
<a href="https://agentmods.dev/skills/malue-ai/dazee-small/qr-code"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/qr-code/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 qr-code

Your own site · 80×15
<a href="https://agentmods.dev/skills/malue-ai/dazee-small/qr-code"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/qr-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 580 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 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 $0.00022 $0.00580
Opus 5 $0.00011 $0.00290
Sonnet 5 $0.00004 $0.00116
Haiku 4.5 $0.00002 $0.00058

Measured 9d ago against content hash daa0e6599c27, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

qr-code 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 9d 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.

skills/library/qr-code/SKILL.md · 88 lines

What it actually says

QR 码生成与识别

生成和识别 QR 码,支持文本、URL、WiFi 凭据、名片(vCard)等格式。

使用场景

  • 用户说「帮我生成一个二维码」「把这个链接做成二维码」
  • 用户说「生成 WiFi 二维码,方便客人连接」
  • 用户说「识别这个二维码图片里的内容」

执行方式

生成 QR 码

import qrcode

# 基本用法
img = qrcode.make("https://example.com")
img.save("/tmp/qr.png")

# 自定义样式
qr = qrcode.QRCode(version=1, box_size=10, border=4)
qr.add_data("https://example.com")
qr.make(fit=True)
img = qr.make_image(fill_color="black", back_color="white")
img.save("/tmp/qr.png")

WiFi QR 码

wifi_data = "WIFI:T:WPA;S:MyNetwork;P:MyPassword;;"
img = qrcode.make(wifi_data)
img.save("/tmp/wifi_qr.png")

格式:WIFI:T:{加密类型};S:{SSID};P:{密码};; 加密类型:WPAWEPnopass

名片 QR 码(vCard)

vcard = """BEGIN:VCARD
VERSION:3.0
FN:张三
TEL:+86-138-0000-0000
EMAIL:[email protected]
END:VCARD"""

img = qrcode.make(vcard)
img.save("/tmp/contact_qr.png")

识别 QR 码

from PIL import Image
from pyzbar.pyzbar import decode

img = Image.open("qr_image.png")
results = decode(img)
for r in results:
    print(r.data.decode("utf-8"))

注意:识别功能需要额外安装 pyzbarpip install pyzbar)和系统库 zbar

输出规范

  • 生成后返回图片文件路径
  • WiFi 二维码说明使用方式(手机相机扫描即可连接)
  • 不在日志中记录 WiFi 密码
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. 9d ago First seen · 88 lines · 22 tokens per session scan A daa0e6599c27

Subscribe to this mod's changes

qr-code is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 580 once invoked, about $0.0001 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 2026-09-03.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens