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 h4vzz/awesome-ai-agent-skills --skill blog-post-writinggit clone --depth 1 https://github.com/h4vzz/awesome-ai-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/h4vzz/awesome-ai-agent-skills/blog-post-writing)<a href="https://agentmods.dev/skills/h4vzz/awesome-ai-agent-skills/blog-post-writing"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-skills/blog-post-writing/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/h4vzz/awesome-ai-agent-skills/blog-post-writing"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-skills/blog-post-writing.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 | $0.00042 | $0.02091 |
| Opus 5.5 | $0.00017 | $0.00836 |
| Sonnet 5.5 | $0.00008 | $0.00418 |
| Haiku 4.5 | $0.00004 | $0.00209 |
Grade A, and why
blog-post-writing 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 1mo 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
95% identical to blog-post-writing — 2 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Post Writing
This skill enables an AI agent to write well-structured, engaging, and SEO-optimized blog posts across multiple content types — how-to guides, listicles, opinion pieces, case studies, and thought leadership articles. The agent handles the full lifecycle from topic research and outlining through drafting, SEO optimization, and final review, producing publish-ready content tailored to the target audience and brand voice.
Workflow
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Research the Topic and Keywords Investigate the topic to understand its scope, current discourse, and search intent. Identify a primary keyword and 3-5 secondary keywords to target. Analyze the top-ranking content for the primary keyword to understand what angle, depth, and format performs well. Determine whether the search intent is informational ("how to set up CI/CD"), navigational ("GitHub Actions docs"), or transactional ("best CI/CD tools 2025").
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Choose the Content Format Select the blog post format that best matches the topic and search intent. Use a how-to guide for process-oriented queries. Use a listicle for comparison or round-up queries. Use an opinion piece for thought leadership and brand positioning. Use a case study for showcasing results and building credibility. The format determines the structural template for the outline.
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Build the Outline Create a detailed outline with the title (including the primary keyword), a hook for the introduction, H2 and H3 subheadings for the body, and a conclusion with a call-to-action. Ensure headings are descriptive and incorporate secondary keywords naturally. Plan where to place supporting elements — code blocks, images, blockquotes, statistics, and internal/external links.
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Write the Draft Expand the outline into full prose. Open with a hook that creates curiosity, states a surprising fact, or directly addresses the reader's pain point. Follow with a clear thesis sentence that tells the reader what they will gain from the post. Write body sections in a logical progression, using transitions between sections. Close with a summary of key takeaways and a specific CTA — subscribe, download, try the product, or read a related post.
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.
- 1mo ago First seen · 110 lines · 42 tokens per session scan A a54253a5709a
blog-post-writing is a skill published in the GitHub repository h4vzz/awesome-ai-agent-skills (36 stars, last pushed 22d ago), licensed MIT. It adds 42 tokens to every session and 2,091 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to blog-post-writing, differing in 2 lines, and is treated as a copy.
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