ai-audit
Skill3 starsChanged 3 months agoNo licenceView on GitHub
Audytuje tekst, artykuł, bloga, landing albo cały korpus treści pod kątem sygnałów "AI slop" — produkcji liniowej z jednego master promptu: powtarzalny szablon, brak głosu autora i doświadczenia z pierwszej ręki, zerowy information gain, wzorce językowe LLM, ślady maszynowej produkcji, treść podporządkowana lejkowi sprzedażowemu. Zwraca SLOP-score 0–100, werdykt, dowody z cytatami i plan naprawy. ZAWSZE używaj tego skilla gdy użytkownik mówi: "zrób audyt AI", "ai-audit", "sprawdź czy to slop", "czy ten blog jest pisany przez AI", "audyt bloga konkurencji", "przeanalizuj te artykuły pod kątem AI", "czy ta treść to content farm", "oceń jakość tych tekstów", "sprawdź czy nasze artykuły nie wyglądają jak generowane", "audyt treści pod Helpful Content", "czy Google to zdegraduje", "sprawdź te URL-e", "przeanalizuj konkurencję contentowo". Używaj też proaktywnie, gdy użytkownik wkleja kilka artykułów lub linki do bloga i pyta o ich jakość, oryginalność, wiarygodność albo o to, czy widać w nich rękę AI — nawet bez słowa "audyt".
4 other projects use a version of this.
Adopted by
Most recently taken up by
- sunitghub/canon-skillstheir own version, first seen Oct 22, 2026
- AlonMiz/ai-audittheir own version, first seen Aug 25, 2026
- Ajeesh25353646/claude-skillstheir own version, first seen Jun 3, 2026
- kumaran-is/claude-code-onboardingtheir own version, first seen May 25, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- kumaran-is/claude-code-onboarding★ 35same name
- sunitghub/canon-skills★ 9same name
- AlonMiz/ai-audit★ 4same name
- Ajeesh25353646/claude-skills★ 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 repository10 other files it gives its agents.
- fact-checkerSkill
- hookiSkill
- humanizacja-checkSkill
- humanizacjaSkill
- humanizeSkill
- knowledge-graphSkill
- model-biznesowySkill
- od-zera-do-zleceniaSkill
- stylometriaSkill
- ymyl-analyzerSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“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.
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