Fact Check Before Trust

Community

ArchieIndian

fact-check-before-trust

Triggers a secondary verification pass for any agent output containing factual claims, numbers, dates, or named entities before the output is acted on

Overview

Publisher	ArchieIndian
Repository	`openclaw-superpowers`
Skill name	`fact-check-before-trust`
Stars	74
Forks	14
Bundled files	Instructions only
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 ArchieIndian on GitHub. Read the source before you install it.

Installation

Install the Fact Check Before Trust 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/ArchieIndian/openclaw-superpowers/tree/main/skills/core/fact-check-before-trust
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/core/fact-check-before-trust

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/ArchieIndian/openclaw-superpowers.git /tmp/openclaw-superpowers
mkdir -p .claude/skills
cp -r /tmp/openclaw-superpowers/skills/core/fact-check-before-trust .claude/skills/fact-check-before-trust

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

Use it in TypingMind

Enable Fact Check Before Trust 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 Fact Check Before Trust 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 Fact Check Before Trust 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.

fact-check-before-trust

verification-before-completion checks that a task was done. This skill checks that the facts are correct. An agent confidently reporting a £716 visa fee as £70,000 will pass completion verification — this skill catches it.

When to invoke

Invoke this skill before treating any agent output as authoritative when the output contains:

Numbers or money (prices, quantities, measurements, statistics)
Dates and deadlines (filing deadlines, release dates, expiry dates)
Named entities (people, organisations, laws, product names)
Causal claims ("X causes Y", "because of Z")
Superlatives ("the largest", "the only", "the most recent")

Skip for: code output, file system operations, and clearly self-contained tasks (renaming a variable, formatting a document).

Verification protocol

Step 1 — Extract claims Identify every verifiable claim in the output. List them explicitly:


Claim 1: UK visa fee is £716
Claim 2: Processing time is 3 weeks
Claim 3: Applies to Tier 2 (Skilled Worker) visa category

Step 2 — Score each claim For each claim, assign a confidence level:

High — Agent has direct evidence in its context (read a document, fetched a URL)
Medium — Agent inferred from training data (check recency)
Low — Agent stated without citing a source

Step 3 — Verify low/medium claims For each Low or Medium claim:

Search or re-fetch the source if possible
If source found: update confidence to High or mark Contradicted
If no source available: mark Unverifiable

Step 4 — Classify output

Result	Meaning
✓ Verified	All claims High confidence
⚠ Uncertain	1+ Unverifiable claims
✗ Contradicted	1+ claims conflict with found evidence

Step 5 — Surface to user

Verified: proceed
Uncertain: surface unverifiable claims with a note
Contradicted: stop, show the contradiction, do not use the output until resolved

Difference from verification-before-completion

verification-before-completion checks: "Did the agent do the task?" (task completion) fact-check-before-trust checks: "Is what the agent said true?" (output accuracy)

Both should be used for research, financial, legal, and compliance workflows.

Frequently asked questions

What does the Fact Check Before Trust AI skill do?

Triggers a secondary verification pass for any agent output containing factual claims, numbers, dates, or named entities before the output is acted on

Why use Fact Check Before Trust on TypingMind?

Because you install it once and use it with any model. Fact Check Before Trust 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 Fact Check Before Trust in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArchieIndian/openclaw-superpowers/tree/main/skills/core/fact-check-before-trust. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fact Check Before Trust?

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 Fact Check Before Trust?

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

Is the Fact Check Before Trust AI skill free?

It is published on GitHub by ArchieIndian. 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

fact-check-before-trust

When to invoke

Verification protocol

Difference from verification-before-completion

Frequently asked questions

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