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在 OpenClaw 中安装
/install shouldislab
功能描述
Use this skill when the user asks about Pokemon card grading, value, or whether a card is worth grading/slabbing. Triggers: 'should I grade', 'should I slab'...
安全使用建议
This skill appears coherent and low-risk. It will only be useful if the agent has web access to public marketplaces; its conclusions depend on live pricing and grading-cost assumptions, so always double-check sold eBay listings and current grading rates before spending money. If you choose to install the SKILL.md from the README’s curl command, verify the GitHub URL first. Also be aware that price estimates can change regionally and over time, and the skill’s default grading costs (included in SKILL.md) are static — confirm current fees and shipping/insurance costs for an accurate ROI.
功能分析
Type: OpenClaw Skill
Name: shouldislab
Version: 1.0.0
The 'shouldislab' skill bundle is a legitimate tool designed to help users evaluate the financial viability of grading Pokemon cards. The instructions in SKILL.md guide the agent through identifying cards, performing web searches for market pricing, and calculating ROI based on standard grading service fees. There is no evidence of malicious intent, data exfiltration, or harmful prompt injection; the behavior is entirely consistent with the stated purpose of the skill.
能力评估
Purpose & Capability
The name/description match the SKILL.md behavior: identify cards, look up raw and graded prices, estimate grading costs, calculate ROI, and give a verdict. It requests no environment variables, binaries, or config paths that would be unrelated to its purpose.
Instruction Scope
Runtime instructions are limited to identifying the card, searching public marketplaces (TCGPlayer, eBay, Cardmarket, pokemontcg.io, etc.), computing ROI with explicit formulas, and returning a structured verdict. The SKILL.md does not instruct reading local files, accessing unrelated credentials, or sending data to unknown endpoints. It relies on web search and public marketplace data, which is appropriate for the task.
Install Mechanism
There is no install spec and no code to execute. README suggests optional manual install by copying SKILL.md or curling the raw GitHub file — a common, low-risk pattern. If users run the curl command they should verify the GitHub repo URL before downloading.
Credentials
The skill requests no environment variables, credentials, or privileged config paths. That is proportionate to an info-gathering/advisory skill.
Persistence & Privilege
always is false and the skill is user-invocable only. It does not request persistent or elevated privileges. Installing the SKILL.md manually (per the README) would persist instructions locally, but that is a normal user action and not automatic.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install shouldislab - 安装完成后，直接呼叫该 Skill 的名称或使用
/shouldislab触发 - 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: Pokemon card grading ROI calculator
元数据
常见问题
shouldislab 是什么？
Use this skill when the user asks about Pokemon card grading, value, or whether a card is worth grading/slabbing. Triggers: 'should I grade', 'should I slab'... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 126 次。
如何安装 shouldislab？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install shouldislab」即可一键安装，无需额外配置。
shouldislab 是免费的吗？
是的，shouldislab 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
shouldislab 支持哪些平台？
shouldislab 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 shouldislab？
由 Ke Wang（@kewang0622）开发并维护，当前版本 v1.0.0。
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