Stats

Q: Why use Stats on TypingMind?

Because you install it once and use it with any model. Stats 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.

Q: How do I install Stats in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/richard-kim-79/archora-skills/tree/main/skills/stats. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Stats?

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.

Q: How many AI models can I use with Stats?

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

Q: Is the Stats AI skill free?

Yes. It is published on GitHub by richard-kim-79 under the MIT license. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

Community

richard-kim-79

stats

Detects statistical errors, logical fallacies, and methodological issues in research content. Checks for p-hacking, correlation/causation confusion, underpowered samples, multiple comparisons problems, overgeneralization, and other common fallacies. Use when the user asks to validate statistics, audit quantitative claims, check methodology, or find logical errors. Returns minimal output on purely theoretical content — most useful after empirical data is present.

Overview

Publisher	richard-kim-79
Repository	`archora-skills`
Skill name	`stats`
Stars	50
Forks	12
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 richard-kim-79 on GitHub. Read the source before you install it.

Installation

Install the Stats 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/richard-kim-79/archora-skills/tree/main/skills/stats
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/richard-kim-79/archora-skills.git /tmp/archora-skills
mkdir -p .claude/skills
cp -r /tmp/archora-skills/skills/stats .claude/skills/stats

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

Use it in TypingMind

Enable Stats 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 Stats 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 Stats 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.

Statistical Validator

Detect statistical errors and methodological fallacies in research content.

Fallacy Types Detected

Type	Description
`P_HACKING`	Selective reporting, post-hoc hypothesis changes, stopped when p<0.05
`CORRELATION_CAUSATION`	Causal claims from correlational data
`SMALL_SAMPLE`	Sample size insufficient for claimed effect size
`MULTIPLE_COMPARISONS`	Multiple tests without Bonferroni/FDR correction
`OVERGENERALIZATION`	Results from specific sample applied to broader population
`CIRCULAR_REASONING`	Conclusion assumes what it claims to prove
`CHERRY_PICKING`	Selective evidence presentation
`EFFECT_SIZE_MISSING`	Statistical significance without practical effect size
`CONFOUND`	Alternative explanations not controlled for

Severity Levels

HIGH — fatal flaw; invalidates the finding
MEDIUM — significant concern; finding is weakened
LOW — minor issue; addressable in discussion

Output Format

When issues are found:

markdown
# 📐 Statistical Validation

> Found **3 issue(s)** requiring attention.

## Issues

### 🔴 HIGH — P_HACKING

**Post:** [reference to source]
**Claim:** "[exact statistical claim]"
**Issue:** [specific explanation of the problem]
**Suggestion:** [concrete fix]

---

### 🟡 MEDIUM — CORRELATION_CAUSATION
...

## Summary
[Overall assessment + priority order for fixes]

When no issues are found:

markdown
# 📐 Statistical Validation

> ✅ No statistical issues detected.

## Assessment
[Explanation: e.g., "This content is theoretical/conceptual and contains no quantitative claims to validate."]

## Proactive Checklist
When empirical data is added, watch for:
- [ ] [Domain-specific statistical concern 1]
- [ ] [Domain-specific statistical concern 2]

When content has no statistics

If the content is purely theoretical or conceptual, note this explicitly and provide a domain-appropriate proactive checklist. Do NOT generate phantom issues.

Frequently asked questions

What does the Stats AI skill do?

Why use Stats on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/richard-kim-79/archora-skills/tree/main/skills/stats. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Stats?

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 Stats?

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

Is the Stats AI skill free?

Yes. It is published on GitHub by richard-kim-79 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.

View all

Huggingface Hub

NousResearch

OrganizationPopular

HuggingFace hf CLI: search/download/upload models, datasets.

Pytorch Lightning

Clean training loops with built-in distributed support.

Troubleshoot

Investigate unexpected behavior in the current Copilot agent session by analyzing its event log. Use when the user asks why something happened, why a request was slow, why a tool was or was not used,…

Pdf

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart,…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Statistical Validator

Fallacy Types Detected

Severity Levels

Output Format

When issues are found:

When no issues are found:

When content has no statistics

Frequently asked questions

Related AI Skills

Set up your own AI workspace now