Readchk

CommunityPopular

LilMGenius

readchk

Verify the model's understanding of a user's instruction before spending non-trivial work. Use when a request is long, bundled, high-stakes, hard to undo, or has ambiguous scope or referents such as this, that, it, the other one, whatever is cleaner, or whichever order makes sense. Restate internally, cross-check against available context, proceed silently when resolved, and surface only a genuine surviving fork.

Overview

Publisher	LilMGenius
Repository	`paperthin`
Skill name	`readchk`
Stars	1.3K
Forks	118
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by LilMGenius on GitHub. Read the source before you install it.

Installation

Install the Readchk AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/LilMGenius/paperthin/tree/main/skills/depth/readchk
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/LilMGenius/paperthin.git /tmp/paperthin
mkdir -p .claude/skills
cp -r /tmp/paperthin/skills/depth/readchk .claude/skills/readchk

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Readchk in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Readchk on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Readchk is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Check the read before acting: did you understand the instruction correctly enough to spend the work?

Goal

readchk catches misread instructions before they become coherent work against the wrong target. It verifies a claim about the requester's intent against available context: the current message, session history, project memory, files on disk, and established conventions.

This is not factchk: the question is what was meant, not whether a world claim is true.

Workflow

Recognize the signal: a long or multi-part instruction, ambiguous scope or referents, deliberately flexible wording, or stakes high enough that a wrong guess would cost real work.
Restate the instruction internally in different words. Do not copy the user's wording back to yourself and treat that as understanding.
Cross-check the restatement against available context. Look for contradictions, missing antecedents, or two plausible readings that context cannot choose between.
If context resolves the read, proceed silently. Do not ask the requester to confirm what the available context already answered.
If a real fork survives, surface one specific clarifying question anchored to the restated understanding. Name the choice; do not ask a vague "does this look right?"
For substantial work, log one durable "understood as: ..." line before beginning so a later reader can audit whether the work matched the confirmed read.

Rules

Restate, don't echo. A paraphrase proves you built a model of the request; a verbatim repeat proves little.
Silent when context resolves it. The default good outcome is invisible. Surfacing a question for a resolved or unambiguous request is a defect.
One fork at a time. If several ambiguities exist, surface the highest-stakes one first instead of dumping a checklist.
Never silently resolve a fork that changes the shape of the work.
Log large commitments, not every turn. Durable read logs are for plans, multi-file changes, irreversible actions, or work a fresh reviewer may need to audit.

Verification

Before proceeding with the work: the restatement is a paraphrase, every surfaced fork is genuinely unresolved by available context, and no substantial work starts without either a silent pass or a resolved fork.

Frequently asked questions

What does the Readchk AI skill do?

Why use Readchk on TypingMind?

Because you install it once and use it with any model. Readchk is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Readchk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LilMGenius/paperthin/tree/main/skills/depth/readchk. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Readchk?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Readchk?

As many as you like. As long as a model supports skills, you can use Readchk with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Readchk AI skill free?

Yes. It is published on GitHub by LilMGenius under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Goal

Workflow

Rules

Verification

Frequently asked questions

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