---
name: learn-verify
description: >
  Fact-check a teaching claim against sources so the learner can trust the
  single interface. Use when the user runs /learn-verify or /skill:learn-verify,
  or says fact-check, verify this, is this true, source this, don't hallucinate,
  or when a teach/plan step needs a claim checked before it is taught as fact.
license: MIT
metadata:
  author: vasanthsreeram
  version: "1.0"
  source: "Eero Alvar — How I Use AI to Learn Things https://youtu.be/kzcI5F4tGiU"
---

# Learn verify

Trust is engineered. Check the claim before it is taught as fact.

## When to run

- Empirical, historical, bibliographic, or API/tool claims
- Named theorems, identities, or "standard facts" you cannot reconstruct
- Anything you were about to present with unearned certainty

Skip a full search only when you can derive the statement in-session and the learner does not need an external citation. Still say that it was derived, not sourced.

## Method

1. Write the claim in one falsifiable sentence.
2. Fetch or search primary-ish sources (paper, textbook, official docs, standard reference). Do not cite a URL you did not open.
3. Quote or paraphrase the supporting line. Note edition / year if it matters.
4. Mark disagreements. Prefer the source the field actually uses.
5. Return a verdict.

## Verdict

```markdown
## Claim
…

## Verdict
confirmed | qualified | contradicted | unknown

## Sources
- <title> — <url or citation> — <what it says>

## Teach as
<one sentence the teacher may now say, with any hedge>
```

`qualified` = true under stated assumptions (dimension, characteristic, gauge, version).

`unknown` = do not teach it as fact. Say you could not verify.

## Rules

- No invented papers, quotes, or page numbers.
- One claim per run. Batch only if they are the same fact in different words.
- Write the verdict into the session file if a teach session is open.