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 Gingg7260/affiliate-skills --skill content-pillar-atomizergit clone --depth 1 https://github.com/Gingg7260/affiliate-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/gingg7260/affiliate-skills/content-pillar-atomizer)<a href="https://agentmods.dev/skills/gingg7260/affiliate-skills/content-pillar-atomizer"><img src="https://agentmods.dev/badge/skills/gingg7260/affiliate-skills/content-pillar-atomizer/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/gingg7260/affiliate-skills/content-pillar-atomizer"><img src="https://agentmods.dev/badge/skills/gingg7260/affiliate-skills/content-pillar-atomizer.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 | $0.00136 | $0.02618 |
| Opus 5 | $0.00068 | $0.01309 |
| Sonnet 5 | $0.00027 | $0.00524 |
| Haiku 4.5 | $0.00014 | $0.00262 |
Grade A, and why
content-pillar-atomizer 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 — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Pillar Atomizer
Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. This is NOT reformatting — it's re-contextualizing each piece for the platform's culture, format, and audience expectations. A LinkedIn post reads nothing like a Reddit comment, even if they carry the same insight.
Stage
S2: Content Creation — This IS content creation, just at 10x scale. One piece of deep work becomes a month of social content.
When to Use
- User has a blog post, article, or long-form content and wants to maximize its reach
- User asks to "repurpose" or "atomize" content
- User says "turn this into social posts", "content multiplication", "pillar content"
- After
affiliate-blog-builder(S3) produces an article — atomize it into social - User wants to maintain consistent content output without creating from scratch daily
Input Schema
pillar_content: string # REQUIRED — the full blog post/article text, or URL to fetch
platforms: string[] # OPTIONAL — target platforms
# Options: "twitter", "linkedin", "reddit", "tiktok", "email", "threads"
# Default: ["twitter", "linkedin", "reddit"]
product: object # OPTIONAL — affiliate product being promoted
name: string
url: string
reward_value: string
mode: string # OPTIONAL — "quality" | "volume"
# Default: "quality"
tone: string # OPTIONAL — "professional" | "casual" | "edgy" | "educational"
# Default: inferred from pillar content
Chaining from S3: If affiliate-blog-builder was run, use its output article as pillar_content.
Chaining from S1 monopoly-niche-finder: Use monopoly_niche positioning to angle all micro-content.
Workflow
Step 1: Analyze Pillar Content
- If URL provided, use
web_fetchto retrieve content - Extract: key insights (5-8), data points, quotes, frameworks, stories, opinions
- Identify the "atomic units" — self-contained ideas that work independently
- Note the product/affiliate angle (if present)
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 · 286 lines · 136 tokens per session scan A a0e7d0d33a27
content-pillar-atomizer is a skill published in the GitHub repository Gingg7260/affiliate-skills (5 stars, last pushed today), licensed MIT. It adds 136 tokens to every session and 2,618 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.
Other skills, from other repositories
content-pillar-atomizer
Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. Not reformatting — re-contextualizing for each platform's culture. Triggers on: "atomize this content", "repurpose my blog post", "turn this into social posts", "content atomizer", "pillar content", "one to many content", "repurpose…
content-pillar-atomizer
Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. Not reformatting — re-contextualizing for each platform's culture. Triggers on: "atomize this content", "repurpose my blog post", "turn this into social posts", "content atomizer", "pillar content", "one to many content", "repurpose…
reddit-post-writer
Write Reddit posts and comments that recommend affiliate products without getting banned or flagged as spam. Subreddit-native content that adds value first. Use this skill when the user asks about Reddit posts for affiliate marketing, writing Reddit comments that mention products, how to promote affiliate links on…
tiktok-script-writer
Write short-form video scripts for TikTok, Instagram Reels, and YouTube Shorts that promote affiliate products with strong hooks, demos, and CTAs. Use this skill when the user asks about TikTok scripts, Reels scripts, Shorts scripts, short-form video for affiliate marketing, or says "write a TikTok for X", "script a…
twitter-thread-writer
Write X/Twitter threads that get bookmarked, shared, and drive affiliate clicks. Use this skill when the user asks about writing Twitter threads, X threads, tweet threads for affiliate marketing, or says "write a thread about X", "Twitter thread promoting X", "X thread for affiliate", "write tweets that go viral"…
viral-post-writer
Write viral social media posts that promote affiliate products naturally. Use this skill when the user asks anything about writing social media content for affiliate marketing, creating posts for LinkedIn/X/Reddit/Facebook, promoting a product on social media, writing affiliate content, or mentions "viral post"…