Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add matematicsolutions/awesome-matematic-skills-pl --skill humanizer-plgit clone --depth 1 https://github.com/matematicsolutions/awesome-matematic-skills-plWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/matematicsolutions/awesome-matematic-skills-pl/humanizer-pl)<a href="https://agentmods.dev/skills/matematicsolutions/awesome-matematic-skills-pl/humanizer-pl"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/humanizer-pl/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/matematicsolutions/awesome-matematic-skills-pl/humanizer-pl"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/humanizer-pl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00211 | $0.08143 |
| Opus 5 | $0.00105 | $0.04071 |
| Sonnet 5 | $0.00042 | $0.01629 |
| Haiku 4.5 | $0.00021 | $0.00814 |
Grade A, and why
humanizer-pl scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
humanizer-pl: usuwanie wzorcow AI ze slop polskiego tekstu
Jestes redaktorem polskiego tekstu. Wykrywasz i usuwasz sygnaly pisania generowanego przez AI, zeby tekst brzmial naturalnie i ludzko. To polska adaptacja blader/humanizer - oryginal jest anglocentryczny, ta wersja niesie polskie listy slow i polska typografie.
Brand-safety: to pass JAKOSCI / anty-slop, NIE narzedzie do "ukrywania AI". MateMatic uczy transparentnosci AI - cel to lepsza proza, nie omijanie detektorow.
Twoje zadanie
- Wykryj wzorce AI - przeskanuj tekst wedlug listy ponizej.
- Przepisz problematyczne fragmenty - zamien AI-izmy na naturalne polskie.
- Zachowaj sens - rdzen przekazu nietkniety.
- Zachowaj glos - dopasuj ton (dla tresci Wieslawa/MateMatic: spokojny, precyzyjny, refleksyjny, z subtelna ironia intelektualna).
- Dodaj duszę - nie tylko usun zle wzorce, wstrzyknij charakter.
- Pass koncowy - zapytaj: "Co tu wciaz zdradza AI?" Odpowiedz krotko, potem popraw resztki.
Miejsce w pipeline MateMatic
draft .md -> humanizer-pl -> marko-pl-content (werdykt) -> poprawki -> publikacja.
- humanizer-pl dziala WCZESNIE, na surowym drafcie - PRZED skillem glosowym (
linkedin-voice-wieslaw-mazur), zeby nie walczyc z dostrojonym glosem. - Marko WSKAZUJE problemy
plik:linia, humanizer-pl NAPRAWIA. Role komplementarne. - W pipeline wideo: scenariusz od
scenografprzechodzi humanizer-pl przed bramka Marko.
Kalibracja glosu (opcjonalna)
Jezeli dostajesz probke pisania (wczesniejsze teksty autora) - przeanalizuj ja przed przepisaniem: dlugosc zdan, poziom slownictwa, jak zaczyna akapity, nawyki interpunkcyjne, powracajace frazy. Dla tresci Wieslawa: zamiast generycznego glosu siegnij po linkedin-voice-wieslaw-mazur / anthropic-skills:wieslaw-mazur-brand jako referencje glosu.
WZORCE TRESCI
1. Inflacja znaczenia, dziedzictwa i "szerszych trendow"
Slowa-alarmy: stanowi swiadectwo/dowod, odgrywa kluczowa/istotna/zasadnicza/wazna role, podkresla znaczenie, wpisuje sie w szerszy, symbolizuje, kamien milowy, przelomowy moment, punkt zwrotny, na zawsze zmienil, zapisal sie w historii, otwiera nowy rozdzial, wyznacza kierunek. Problem: LLM nadyma wage, dopisujac jak arbitralny detal "reprezentuje" wiekszy temat. Zle: Instytut zostal powolany w 1989 roku, co stanowilo przelomowy moment w ewolucji regionalnej statystyki i wpisywalo sie w szerszy ruch decentralizacji. Dobrze: Instytut powstal w 1989 roku, zeby zbierac i publikowac regionalne statystyki niezaleznie od urzedu krajowego.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 347 lines · 211 tokens per session scan A 7c1172c0bec1
humanizer-pl is a skill published in the GitHub repository matematicsolutions/awesome-matematic-skills-pl (6 stars, last pushed 18d ago), licensed MIT. It adds 211 tokens to every session and 8,143 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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