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 hyperfx-ai/marketing-skills --skill blog-generationgit clone --depth 1 https://github.com/hyperfx-ai/marketing-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/hyperfx-ai/marketing-skills/blog-generation)<a href="https://agentmods.dev/skills/hyperfx-ai/marketing-skills/blog-generation"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/blog-generation/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/hyperfx-ai/marketing-skills/blog-generation"><img src="https://agentmods.dev/badge/skills/hyperfx-ai/marketing-skills/blog-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00117 | $0.02758 |
| Opus 5 | $0.00059 | $0.01379 |
| Sonnet 5 | $0.00023 | $0.00552 |
| Haiku 4.5 | $0.00012 | $0.00276 |
Grade A, and why
blog-generation 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Generation
One job, done well: produce a single excellent, on-brand blog post per run, optimized to rank on Google and get cited by AI search, and never repeat what you have already written. Built to run as a recurring task (for example, one post a day) or on demand for any business in any vertical: a dentist, a jeweler, a B2B SaaS, a DTC brand.
The whole game is captured in two ideas. First, AI search visibility is SEO done well: unique, genuinely useful, people-first content with a clear point of view, structured so a machine can extract a clean answer. There is no secret AEO hack. Second, the engine has memory: a single blog-strategy.md file, saved in persistent storage, holds the brand's context plus a running log of every post. That log is what stops it from ever repeating itself.
The memory contract (the most important rule in this skill). The log lives in a real file that survives between runs. On the FIRST run it does not exist, so you create it. On EVERY run after that it already exists, so you read it into context before doing anything, then append the new post to it before you finish. Same brand, same file path, every time. If you ever write a post without first reading the log, or finish a run without appending to it, the engine is broken: it will loop and repeat topics. Read-the-log-first and append-the-log-last are non-skippable.
Requirements
- Hyper MCP connected. https://app.hyperfx.ai/mcp
- A brand strategy doc (
blog-strategy.md) in persistent files. If it does not exist yet, the engine builds one on the first run (Step 0). This is what lets it write in the brand's real voice and avoid repeats. - Recommended toolkits, enabled at https://app.hyperfx.ai/apps: Firecrawl (read the brand's site), HyperSEO (validate topics, see what ranks and what AI cites), Google Search Console (mine real signals and measure). Without them you can still draft, but flag that topic and ranking calls are unvalidated.
Tool surface
What ships with it
5 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.
- 11d ago First seen · 127 lines · 117 tokens per session scan A 688c3b5fd69d
blog-generation is a skill published in the GitHub repository hyperfx-ai/marketing-skills (86 stars, last pushed 16d ago), licensed MIT. It adds 117 tokens to every session and 2,758 once invoked, about $0.0006 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 2026-08-30.
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