Claim Check logo

Claim Check

Organization
pmalliance
claim-check

Take every claim in your current messaging and check whether anything in your evidence base actually backs it. Reads your positioning and copy against your proof material - reviews, case studies, call transcripts, data - and flags the claims running on faith. Use before a launch or a website refresh, when tightening messaging, or when you want to know which of your claims would survive a skeptical buyer or a legal review. Triggers: "can we back this claim," "is our messaging supported," "evidence for our claims," "which claims are risky," "substantiate our messaging."

Overview

Publisherpmalliance
Repositoryproduct-marketing-skills
Skill nameclaim-check
Stars
77
Forks
12
Bundled files
Instructions only
LicenseMIT
Links
  • 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 pmalliance on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pmalliance/product-marketing-skills/tree/main/pmm-signal-pack/skills/claim-check
  4. 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.
2

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/pmalliance/product-marketing-skills.git /tmp/product-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/product-marketing-skills/pmm-signal-pack/skills/claim-check .claude/skills/claim-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claim Check 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 Claim Check 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 Claim Check 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.

Claim Check

What this does

Pulls every claim out of your live messaging, then goes looking through your evidence base for something that supports each one. It returns each claim with a verdict: supported (and by what), thin (some support, not enough), or unsupported (nothing in the evidence backs it). The unsupported and thin claims are the ones that get you in trouble - with buyers who probe, with sales who can't prove them, and with legal who can't sign off.

This is the discipline behind "evidence over vibes." A claim you cannot back is a liability, however good it sounds.

Why this is a Fable-recommended job

Checking a claim means searching your whole proof base for support, and doing it for every claim at once. That needs both your messaging and your entire evidence corpus held together. Claude Fable 5 can take the claims and the full proof set in a single run and cross-reference each claim against everything, rather than you grepping for evidence one line at a time.

If Fable is not available or the budget is spent: extract the claim list first in one pass, then check claims against the evidence in batches by theme (e.g. all performance claims against the performance evidence). Slower and it can miss cross-theme support, but the method holds.

Evidence to gather first

Claims come from:

  • Homepage, product pages, pricing page
  • Sales deck, one-pagers, battlecards
  • Ad and email copy

Proof comes from:

  • Customer reviews and testimonials (G2, Capterra, quotes)
  • Case studies and reference stories
  • Sales call transcripts where customers describe results
  • Product data, benchmarks, internal metrics
  • Analyst mentions

Read .agents/product-marketing-context.md first if it exists.

Process

  1. Extract every claim from the messaging material. A claim is any assertion a buyer could dispute - a number, a superiority statement, an outcome promise, a category claim.
  2. For each claim, search the proof base for support.
  3. Assign a verdict: supported, thin, or unsupported, and record the specific proof (or its absence).
  4. For unsupported and thin claims, note what evidence would be needed to back them, or suggest a softer wording the evidence can carry.
  5. Flag anything that reads as a regulated or comparative claim that may need legal review.
  6. Produce the report.

Output format

  • Summary - claims checked, split by verdict, the riskiest claims up top.
  • Claim table - claim (as written) | source surface | verdict | supporting proof with source, or "none found" | suggested fix.
  • Fix list - for each thin or unsupported claim: get evidence, reword, or remove.
  • Review flags - claims that may need legal or compliance sign-off.

The evidence standard

A claim is only marked "supported" when a specific piece of proof is cited - the review, case study, transcript line, or dataset, named. "It's probably true" is not support; if no proof is found, the verdict is "unsupported," full stop. Do not soften a verdict to be reassuring. Suggested rewordings must be carriable by the evidence that does exist.

Frequently asked questions

What does the Claim Check AI skill do?

Take every claim in your current messaging and check whether anything in your evidence base actually backs it. Reads your positioning and copy against your proof material - reviews, case studies, call transcripts, data - and flags the claims running on faith. Use before a launch or a website refresh, when tightening messaging, or when you want to know which of your claims would survive a skeptical buyer or a legal review. Triggers: "can we back this claim," "is our messaging supported," "evidence for our claims," "which claims are risky," "substantiate our messaging."

Why use Claim Check on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pmalliance/product-marketing-skills/tree/main/pmm-signal-pack/skills/claim-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Claim Check?

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 Claim Check?

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

Is the Claim Check AI skill free?

Yes. It is published on GitHub by pmalliance 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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