source-verification
Skill0 starsChanged 4 months agoMITView on GitHub
Attach the URL or source to every factual claim in research, and flag anything you couldn't verify instead of stating it as fact. Any research deliverable the owner will act on or repeat. Especially numbers, prices, and competitive claims that could be wrong.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- paulopestanajunior/agents-configtheir own version, first seen Oct 15, 2026
- AtlasOmnia/hermes-custom-packtheir own version, first seen Oct 13, 2026
- cellrishi-code/claude-skills-atlastheir own version, first seen Oct 4, 2026
- jscott3201/yet-more-skillstheir own version, first seen Sep 7, 2026
- AtlasOmnia/donna-startertheir own version, first seen Aug 13, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- AtlasOmnia/donna-starter★ 136same name
- AtlasOmnia/hermes-custom-pack★ 75same name
- cellrishi-code/claude-skills-atlas★ 6same name
- jscott3201/yet-more-skills★ 4same name
- paulopestanajunior/agents-config★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Every number, price, and named fact gets its source inline — the URL, the page, the date pulled.
- Distinctive: line 21
If you can't find the source, the claim doesn't ship as fact.
- Distinctive: line 24
When two sources disagree, say so and show both — don't silently pick one and present it as settled.
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Every Claim Points at Its Source
A research claim without a source is a guess wearing a suit. Point every fact at where it came from, and when you can't verify something, say so plainly rather than laundering it into certainty.
The technique
- Every number, price, and named fact gets its source inline — the URL, the page, the date pulled.
- If you can't find the source, the claim doesn't ship as fact. Flag it: "unverified — couldn't confirm."
- Separate what you found from what you inferred. An inference is fine; passing it off as a sourced fact isn't.
- Date the pull. Prices and pages change; a fact true last month may be stale, and the date tells the reader how much to trust it.
- When two sources disagree, say so and show both — don't silently pick one and present it as settled.
Do this, not that
Do: "Their entry price is $79/mo (their /pricing page, pulled 2026-06-09). Their churn is reportedly high — unverified, that's from one forum thread, treat as a rumor, not a number."
Don't: State "they charge $79 and have terrible retention" as flat fact, where the price is sourced but the retention is a stranger's comment you can't back up — now the owner repeats a rumor as data.
Why this works
Research gets repeated. The owner will say it on a call, put it in a deck, price against it. If a claim is wrong and there's no source, nobody catches it until it's already cost something. Sourcing every fact makes the work checkable and the mistakes findable, and flagging the unverified keeps a guess from hardening into a "fact" that wasn't.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
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Now do this for your own.
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