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 DariuszCiesielski/polish-agent-skills --skill contentgit clone --depth 1 https://github.com/DariuszCiesielski/polish-agent-skillsWrote 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/dariuszciesielski/polish-agent-skills/content)<a href="https://agentmods.dev/skills/dariuszciesielski/polish-agent-skills/content"><img src="https://agentmods.dev/badge/skills/dariuszciesielski/polish-agent-skills/content/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/dariuszciesielski/polish-agent-skills/content"><img src="https://agentmods.dev/badge/skills/dariuszciesielski/polish-agent-skills/content.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 | $0.00141 | $0.03815 |
| Opus 5 | $0.00071 | $0.01907 |
| Sonnet 5 | $0.00028 | $0.00763 |
| Haiku 4.5 | $0.00014 | $0.00381 |
Grade A, and why
content 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 10d 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Pipeline Manager
Skill do tworzenia, analizowania i optymalizacji treści pod Google Search i AI search engines. Zoptymalizowany pod polski rynek.
Kiedy używać
- Pisanie artykułów blogowych (SEO + AI-ready)
- Briefy contentowe z analizą SERP
- Przepisywanie istniejących artykułów pod SEO
- Analiza jakości treści + AI detection score
- Kalendarze publikacji
- Batch generowanie contentu
Komendy
/content write <temat> — pełny artykuł z SEO (PL)
/content brief <keyword> — brief contentowy z analizą SERP
/content rewrite <url> — przepisz pod SEO + anti-AI detection
/content analyze <url|plik> — analiza jakości + scoring 0-100
/content calendar <niche> [N] — kalendarz publikacji na N dni (domyślnie 30)
/content persona [list|create] — zarządzanie personami pisarskimi
/content outline <temat> — zarys artykułu bez pisania
/content schema <url|plik> — generuj BlogPosting/Article JSON-LD
Zbieranie briefu — wzorzec sekwencyjny
Gdy użytkownik nie podał pełnych informacji, zbieraj input jedno pytanie na raz. NIE zadawaj 3-4 pytań w jednej wiadomości — użytkownik odpowie niekompletnie.
Kolejność pytań
- "Masz gotowy tekst źródłowy (transkrypt, notatki, draft)?" → Czekaj na odpowiedź.
- Jeśli tak: Wyciągnij temat, kluczowe punkty, ton. Pokaż outline do zatwierdzenia.
- Jeśli nie: Kontynuuj pytania poniżej.
- "Jaki jest temat i główna fraza kluczowa?" → Czekaj.
- "Kto jest docelowym czytelnikiem? (rola, poziom wiedzy)" → Czekaj.
- "Jaki ton — formalny, konwersacyjny, ekspercki?" → Czekaj. (Domyślnie: "Profesjonalny PL")
- "Jakieś konkretne punkty/dane, które muszą się znaleźć?" → Czekaj.
Dopiero po zebraniu wszystkich inputów przejdź do pisania/outlinowania.
Kiedy pomijać: Gdy użytkownik podał kompletny brief lub powiedział "po prostu napisz".
Instrukcje
/content write — Pełny artykuł
- Rozpoznaj typ artykułu (auto lub user override):
- "Jak..." / "How to..." →
templates/how-to.md - "Top X..." / "Najlepsze..." →
templates/listicle.md - "X vs Y" / "porównanie" →
templates/comparison.md - Case study / rezultaty →
templates/case-study.md - Default →
templates/how-to.md
- "Jak..." / "How to..." →
What ships with it
7 files 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.
- 10d ago First seen · 268 lines · 141 tokens per session scan A cb8bd8601290
content is a skill published in the GitHub repository DariuszCiesielski/polish-agent-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 141 tokens to every session and 3,815 once invoked, about $0.0007 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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