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 arturseo-geo/claude-code-skills --skill content-creationgit clone --depth 1 https://github.com/arturseo-geo/claude-code-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/arturseo-geo/claude-code-skills/content-creation)<a href="https://agentmods.dev/skills/arturseo-geo/claude-code-skills/content-creation"><img src="https://agentmods.dev/badge/skills/arturseo-geo/claude-code-skills/content-creation/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/arturseo-geo/claude-code-skills/content-creation"><img src="https://agentmods.dev/badge/skills/arturseo-geo/claude-code-skills/content-creation.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 | $0.00148 | $0.03192 |
| Opus 5.5 | $0.00059 | $0.01277 |
| Sonnet 5.5 | $0.00030 | $0.00638 |
| Haiku 4.5 | $0.00015 | $0.00319 |
Grade A, and why
content-creation 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 2mo 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Creation Skill
Workflow
Step 1: Capture the Brief
Before writing, confirm (or infer from context):
- Content type: blog post / social post / email / video script / etc.
- Platform: Website / LinkedIn / X / Instagram / YouTube / Email / etc.
- Audience: Who is this for? Pain points, vocabulary, sophistication level
- Goal: Educate / Entertain / Convert / Build authority / Drive traffic
- Tone: Professional / Conversational / Bold / Empathetic / Witty
- Length: Approximate word/character count or format constraints
- SEO target: Primary keyword (if applicable)
- CTA: What should the reader do next?
If the user hasn't provided these, make reasonable assumptions and state them at the top of the output so they can correct.
Content Types & Formats
Blog Post / Article
Structure:
- Headline: Benefit-driven or curiosity-driven. Use numbers when possible.
- Hook (first 2–3 sentences): Empathize with pain or make a bold claim
- Intro (100–200 words): Set up the problem, preview the solution
- Body (H2/H3 sections): Each section = one idea, with examples
- CTA / Conclusion: Summarize key takeaway + one clear next step
Long-form (1500–3000 words) for SEO. Short-form (600–900 words) for quick reads.
Email (Single or Sequence)
- Subject line: 40–50 chars, curiosity/benefit/urgency. Provide 3 variants.
- Preview text: Complements subject, 80–100 chars
- Body: Short paragraphs (2–3 sentences), one idea per paragraph
- CTA: Single, prominent, action-verb driven ("Download the guide", not "Click here")
Sequences — label each email:
- Email 1: Welcome / Promise
- Email 2: Problem agitation
- Email 3: Solution introduction
- Email 4: Social proof
- Email 5: Objection handling
- Email 6: Offer / CTA
LinkedIn Post
- Hook (first line must stop the scroll — bold claim, contrarian take, or question)
- 3–5 short paragraphs or bullet points
- No links in body (add in first comment)
- End with a question or soft CTA
- Target: 150–300 words for feed posts; 1200–1500 for long-form articles
What ships with it
4 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.
- 2mo ago First seen · 273 lines · 148 tokens per session scan A 85103a503675
content-creation is a skill published in the GitHub repository arturseo-geo/claude-code-skills (13 stars, last pushed 7mo ago), licensed MIT. It adds 148 tokens to every session and 3,192 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-08-30.
content-creation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| content-creationarturseo-geo/claude-code-skills | Skill | 13 | 7mo ago | MIT | A | 148 | Claude Code, Codex |
| csharp-patternssoftspark/ai-toolkit | Skill | 179 | 10d ago | Apache-2.0 | A | 61 | Claude Code |
| seo-validatesoftspark/ai-toolkit | Skill | 179 | 10d ago | Apache-2.0 | A | 59 | Claude Code |
| database-patternssoftspark/ai-toolkit | Skill | 179 | 10d ago | Apache-2.0 | A | 55 | Claude Code |
| debugsoftspark/ai-toolkit | Skill | 179 | 10d ago | Apache-2.0 | A | 34 | Claude Code |
| ruby-patternssoftspark/ai-toolkit | Skill | 179 | 10d ago | Apache-2.0 | A | 60 | Claude Code |
| prsoftspark/ai-toolkit | Skill | 179 | 10d ago | Apache-2.0 | A | 36 | Claude Code |