facts
Skill233 starsChanged 5 months agoMITView on GitHub
Checks every draft against your approved brand facts.
5 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooledited, first seen Nov 8, 2026
- av/harbortheir own version, first seen Oct 8, 2026
- VladTheProgrammer/claude-asimovtheir own version, first seen Oct 8, 2026
- denismrvoljak/claude-scholartheir own version, first seen Aug 16, 2026
- backnotprop/brotheir own version, first seen Jul 12, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 1
Wrote their own version · 4
- av/harbor★ 3.3ksame name
- backnotprop/bro★ 176same name
- denismrvoljak/claude-scholar★ 1same name
- VladTheProgrammer/claude-asimov★ 0same 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.
In this repository33 other files it gives its agents.
- analyzeSkill
- ansvisor-aeo-coachSkill
- ansvisor-aeo-coach-standaloneSkill
- answerfirstSkill
- audit-fixSkill
- auditSkill
- beatSkill
- compareSkill
- createSkill
- fanoutSkill
- faqSkill
- featuresSkill
- gapsSkill
- imageSkill
- listingsSkill
- marketsSkill
- new-reportSkill
- opportunitiesSkill
- optimizeSkill
- promptsSkill
- publishSkill
- qualitySkill
- questionsSkill
- refreshSkill
- reportSkill
- rivalsSkill
- setupSkill
- shoppingSkill
- startSkill
- tasksSkill
- translateSkill
- winbackSkill
- wrongclaimSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 5 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Check the brand's drafts against its approved brand facts (its plans, trial, founding year and the claims it makes), and list every place a …
- Very specific: line 32
Read the approved facts with get_brand_facts.
- Distinctive: line 33
Read each draft and find every passage that states one of those facts: a plan, a trial, a founding year, a claim about the brand.
- Distinctive: line 47
Don't decide a fact is true from your own knowledge or from a page you read: only an approved fact, or one the person confirms, counts.
- Distinctive: line 48
Don't change anything in a passage but the fact.
- Distinctive: line 49
Keep the passages AI quotes word for word unless the fact in them is wrong, and then say they are quoted.
“Common” is measured: kept by at least 6 in 10 of the 4 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
Brand facts check
Check the brand's drafts against its approved brand facts (its plans, trial, founding year and the claims it makes), and list every place a draft says something else.
When to use
- "Check our drafts against our brand facts", "Does this page still say the old trial length?", "Are our facts consistent?"
Where the facts come from
Ansvisor reads the brand facts from the brand's own pricing, About and product pages, and a person approves each one in the brand's settings, on the Brand facts tab. Only approved facts count. Read them with get_brand_facts: the approved facts still on the brand's site, each in its page's own words, with when it was approved and the page it came from. Facts waiting for approval, rejected ones and ones gone from the site aren't in it.
When it returns none, say so, and ask the person to open Brand facts and approve the ones waiting, or to paste the facts they confirm. Never approve a fact yourself, and never use a fact that isn't approved or that the person didn't confirm.
What to read
get_brand_facts: the brand's approved facts.list_drafts: the brand's drafts, latest changed first.get_draftfor each draft you check, at most five in one run: its passages, and where it is live.
Steps
- Read the approved facts with
get_brand_facts. With none, stop and ask for them, as above. Facts the person gives in the chat count too. - Read each draft and find every passage that states one of those facts: a plan, a trial, a founding year, a claim about the brand.
- Compare each with the approved fact: same, different, or no longer true.
- Draft the fix for each mismatch: the passage with the approved fact in it, nothing else changed.
Output
- A table: Draft, Passage, Says, Approved fact, Fix.
- The drafts with no mismatch, in one line.
- Facts a draft states that aren't in the approved list, for the person to check.
When the person wants the fixes kept, save the corrected page as a new draft with create_draft; the app asks them first when it should. In an agent's run nobody is there to ask: always save it with its tool, and the app holds it for approval where the agent's mode needs it.
Don't
- Don't decide a fact is true from your own knowledge or from a page you read: only an approved fact, or one the person confirms, counts.
- Don't change anything in a passage but the fact.
- Keep the passages AI quotes word for word unless the fact in them is wrong, and then say they are quoted.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

