social-post-ab-variants-writer

social-post-ab-variants-writer is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 54 tokens per session (1,252 once invoked), scanned A, original, MIT.

A writing guide that creates two or three different social posts promoting the same article, video, or episode. Each version uses a different angle, opening, or emotional tone for comparison.

In plain words
What is it for?
Use it to write promotion variants for LinkedIn, X, Instagram, Facebook, or Bluesky, especially when launching content, relaunching an underperforming post, or planning a social-media test.
Why use it?
It avoids relying on one framing when promoting content and makes it possible to compare which message gets a better response. It is intended for tests using similar audiences or posting times.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autopunk-media-skills plugin — 187 skills shipped together

Good fit Use it to write promotion variants for LinkedIn, X, Instagram, Facebook, or Bluesky, especially when launching content, relaunching an underperforming post, or planning a social-media test.

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Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/social-post-ab-variants-writer
Install

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.

Any agent
npx skills add ur-grue/autopunk-media-skills --skill social-post-ab-variants-writer
Clone the repo
git clone --depth 1 https://github.com/ur-grue/autopunk-media-skills

Made for: Claude Code.

Or install autopunk-media-skills, the plugin that ships this one along with the rest of its 187 skills.

Wrote 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.

agentmods badge for social-post-ab-variants-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/social-post-ab-variants-writer/github.svg)](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/social-post-ab-variants-writer)
Your own site
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/social-post-ab-variants-writer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/social-post-ab-variants-writer/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.

agentmods 80×15 button for social-post-ab-variants-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/social-post-ab-variants-writer"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/social-post-ab-variants-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,252 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01252
Opus 5 $0.00027 $0.00626
Sonnet 5 $0.00011 $0.00250
Haiku 4.5 $0.00005 $0.00125

Measured 12d ago against content hash 3c879e14c02f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

social-post-ab-variants-writer 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 12d 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.

skills/audience-distribution/social-post-ab-variants-writer/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social Post A/B Variants Writer

What This Skill Does

Generates two or three distinct social media post variants for the same article or piece of content, each testing a different angle, hook, or emotional register, so you can run a controlled comparison and learn what resonates with your audience.

When To Use This Skill

  • You are publishing a new article, video, or episode and want to promote it across social media without committing to a single framing before you know what works
  • Your publication has enough followers to generate meaningful engagement data and wants to make distribution decisions based on evidence rather than instinct
  • You need copy for a scheduled social media test — two posts going out at similar times to different audience segments, or sequentially over several days
  • A previous post underperformed and you want to relaunch the same content with different framings

What You Need To Provide

Required: The headline or title of the piece, a one-paragraph summary of what the article covers, and the platform you are posting to (LinkedIn, X/Twitter, Instagram, Facebook, or Bluesky).

Optional: The primary audience segment (general public, specialists, decision-makers); any constraints on length or tone set by your publication's style guide; the specific hypothesis you want to test (e.g., "curiosity-gap hook vs. direct statement of fact"); any call-to-action wording you want to keep consistent across variants.

How the Assistant Approaches This

  1. Identifies three proven copywriting angles for the piece — typically: a direct news statement, a curiosity or question hook, and an emotional or human-interest angle — and selects the two or three that are most plausible given the content.
  2. Drafts each variant independently, keeping the article link and any fixed call-to-action identical across variants but varying the opening sentence, emotional register, and framing strategy. Each variant is genuinely different — not the same post with one word swapped.
  3. Labels each variant with its hypothesis (what it is testing), so the social media team can interpret results without needing to decode the copy themselves. Notes any platform-specific formatting (character limits, hashtag conventions, emoji norms).

Read the full file on GitHub · 84 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 12d ago First seen · 84 lines · 54 tokens per session scan A 3c879e14c02f

Subscribe to this mod's changes

social-post-ab-variants-writer is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 54 tokens to every session and 1,252 once invoked, about $0.0003 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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