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 bestagentkits/agency-skills --skill content-creatorgit clone --depth 1 https://github.com/bestagentkits/agency-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/bestagentkits/agency-skills/content-creator)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/content-creator"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/content-creator/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/bestagentkits/agency-skills/content-creator"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/content-creator.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 | $0.00104 | $0.00625 |
| Opus 5 | $0.00052 | $0.00313 |
| Sonnet 5 | $0.00021 | $0.00125 |
| Haiku 4.5 | $0.00010 | $0.00063 |
Grade A, and why
content-creator 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 7d 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.
This is a copy
91% identical to content-creator — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Creator → Redirected
This skill has been split into two specialist skills. Use the one that matches your intent:
| You want to... | Use this instead |
|---|---|
| Write a blog post, article, or guide | content-production |
| Plan what content to create, topic clusters, calendar | content-strategy |
| Analyze brand voice | content-production (includes brand_voice_analyzer.py) |
| Optimize SEO for existing content | content-production (includes seo_optimizer.py) |
| Create social media content | social-content |
Why the Change
The original content-creator tried to do everything: planning, writing, SEO, social, brand voice. That made it a jack of all trades. The specialist skills do each job better:
- content-production — Full pipeline: research → brief → draft → optimize → publish. Includes all Python tools from the original content-creator.
- content-strategy — Strategic planning: topic clusters, keyword research, content calendars, prioritization frameworks.
Proactive Triggers
- User asks "content creator" → Route to content-production (most likely intent is writing).
- User asks "content plan" or "what should I write" → Route to content-strategy.
Output Artifacts
| When you ask for... | Routed to... |
|---|---|
| "Write a blog post" | content-production |
| "Content calendar" | content-strategy |
| "Brand voice analysis" | content-production (brand_voice_analyzer.py) |
| "SEO optimization" | content-production (seo_optimizer.py) |
Communication
This is a redirect skill. Route the user to the correct specialist — don't attempt to handle the request here.
Related Skills
- content-production: Full content execution pipeline (successor).
- content-strategy: Content planning and topic selection (successor).
- content-humanizer: Post-processing AI content to sound authentic.
- marketing-context: Foundation context that both successors read.
What ships with it
8 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.
- agents/openai.yaml 201 B
- assets/content_calendar_template.md 1.6 KB
- examples/brand_voice_analysis_example.md 4.9 KB
- examples/seo_optimization_example.md 7.1 KB
- references/analytics_guide.md 8.6 KB
- references/brand_guidelines.md 6.7 KB
- references/content_frameworks.md 11 KB
- references/social_media_optimization.md 9.8 KB
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.
- 7d ago First seen · 56 lines · 104 tokens per session scan A df0e82c8f8c6
content-creator is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 625 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to content-creator, differing in 10 lines, and is treated as a copy.
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