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Near Qr Skill

作者 ussyalfaks · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
755
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0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install near-qr-skill
功能描述
Generate QR codes for NEAR addresses and payment requests, and read NEAR QR codes from images.
安全使用建议
This package appears to do exactly what it says: create and read NEAR QR codes locally. Before installing, consider: 1) Install in a Python virtual environment to contain dependency installation (pip install -r requirements.txt). 2) You will likely need the zbar system library (README explains how). 3) The tool writes PNG files to disk and reads image files you provide — avoid processing untrusted inputs if you worry about malformed images. 4) There are no network calls or credential requests in the code, but since pip installs packages from PyPI you should only install on systems you control or review the installed packages if provenance is a concern. 5) If you want stronger assurance, inspect the included near_qr.py file locally or run the provided tests in a sandboxed environment.
功能分析
Type: OpenClaw Skill Name: near-qr-skill Version: 1.0.0 The OpenClaw skill 'near-qr-skill' is designed to generate and read QR codes for NEAR Protocol addresses and payment requests. The code in `near_qr.py` and the instructions in `SKILL.md` and `README.md` strictly adhere to this stated purpose. There is no evidence of malicious intent, such as data exfiltration, unauthorized command execution, persistence mechanisms, or prompt injection attempts against the AI agent. File operations are limited to saving and loading image files for QR codes, and dependencies (`qrcode`, `Pillow`, `pyzbar`) are standard for this functionality.
能力评估
Purpose & Capability
Name/description match the included files. The Python module builds NEAR URIs, generates QR images, adds labels, and decodes QR images. Tests and README align with this functionality. No unrelated services, credentials, or binaries are requested.
Instruction Scope
SKILL.md instructs installing requirements and running the CLI to generate/read QR images. The runtime instructions and code perform expected local file I/O (save PNGs, read image files). Reading QR codes requires pyzbar and the system zbar library; the SKILL.md and README note this. There are no instructions to read unrelated system files, exfiltrate data, or call remote endpoints.
Install Mechanism
This is instruction-only (no packaged install spec). It uses pip with requirements.txt (qrcode[pil], Pillow, pyzbar) — standard PyPI packages. The README notes the additional system dependency (zbar). Installing packages from PyPI and system libs runs code on your machine (typical risk); there are no downloads from arbitrary URLs or extract steps in the bundle.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not require access to unrelated secrets or services.
Persistence & Privilege
Skill does not request permanent/always-on presence and uses the normal, user-invoked CLI. It does not modify other skills or system-wide agent configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install near-qr-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /near-qr-skill 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of near-qr-code skill. - Generate QR codes for NEAR account addresses. - Create QR codes for NEAR payment requests, including recipient, amount, and optional memo. - Read and decode NEAR QR codes from image files, extracting address or payment details as JSON. - Includes command-line interface for all functions.
元数据
Slug near-qr-skill
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Near Qr Skill 是什么?

Generate QR codes for NEAR addresses and payment requests, and read NEAR QR codes from images. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 755 次。

如何安装 Near Qr Skill?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install near-qr-skill」即可一键安装,无需额外配置。

Near Qr Skill 是免费的吗?

是的,Near Qr Skill 完全免费(开源免费),可自由下载、安装和使用。

Near Qr Skill 支持哪些平台?

Near Qr Skill 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Near Qr Skill?

由 ussyalfaks(@ussyalfaks)开发并维护,当前版本 v1.0.0。

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