Correction

OrganizationPopular

NxcoreAI

correction

Compute Room overview corrections—citation corrections as per-claim edits and general corrections as a single proposal.

Overview

Publisher	NxcoreAI
Repository	`EverRoom`
Skill name	`correction`
Stars	1.5K
Forks	220
Bundled files	Instructions only
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 NxcoreAI on GitHub. Read the source before you install it.

Installation

Install the Correction 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.
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/NxcoreAI/EverRoom.git /tmp/EverRoom
mkdir -p .claude/skills
cp -r /tmp/EverRoom/agents/room-corrector/skills/correction .claude/skills/correction

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

Use it in TypingMind

Enable Correction 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 Correction 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 Correction 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.

Correction

按 task 计算 Room 总览的纠正；claims 列表是权威快照，一切 originalText 以其中的 claim 文本为准。

citation-correction（引用纠正）

先从 selectedText（引用上下文）解析命中的 claim 与用户评论（instruction）；评论是最高权威。
为每个命中 claim 提交一条独立 edit：字段自带 targetClaimId、section、operation、originalText、replacementText 和非空 rationale，不得摊到根参数。
originalText 逐字取自目标 claim 文本（或引用文本中该 claim 的原文），不得转述；replacementText 是该 claim 的新内容。
跨 claim 合并：替换保留的 claim 并对其余 claim 用 content_suppress；不得把多条 claim 拼成一条 originalText。
选择 operation：改文字用 content_replace；仅修事实性错误用 fact_correct；新增内容用 content_add/fact_add；移除错误来源用 source_remove（需带 targetSource）；把 claim 归到其他来源用 source_reassign。
指令与 claim 内容冲突时以指令为准；指令含糊到无法唯一定位目标时，在 summary 说明缺口，仍对可确定的部分给出 edits。

general-correction（模糊纠正）

按 instruction（如"更新建议下一步""把简介改成……"）定位目标区块与 claim，计算一条 proposal。
能唯一定位时填 targetClaimId 与 originalText（逐字）；新增类操作（content_add 等）可省略 originalText。
rationale 说明为什么这样改；不虚构证据。

输出

citation-correction 提交 edits；general-correction 提交 proposal；summary 简述改了什么、依据什么。

Frequently asked questions

What does the Correction AI skill do?

Compute Room overview corrections—citation corrections as per-claim edits and general corrections as a single proposal.

Why use Correction on TypingMind?

Because you install it once and use it with any model. Correction 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 Correction in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NxcoreAI/EverRoom/tree/main/agents/room-corrector/skills/correction. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Correction?

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 Correction?

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

Is the Correction AI skill free?

It is published on GitHub by NxcoreAI. Check the repository for licensing terms. 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

Correction

citation-correction（引用纠正）

general-correction（模糊纠正）

输出

Frequently asked questions

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