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Install in OpenClaw
/install shouldislab
Description
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'...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install shouldislab - After installation, invoke the skill by name or use
/shouldislab - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Pokemon card grading ROI calculator
Metadata
Frequently Asked Questions
What is shouldislab?
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'... It is an AI Agent Skill for Claude Code / OpenClaw, with 126 downloads so far.
How do I install shouldislab?
Run "/install shouldislab" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is shouldislab free?
Yes, shouldislab is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does shouldislab support?
shouldislab is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created shouldislab?
It is built and maintained by Ke Wang (@kewang0622); the current version is v1.0.0.
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