social-adapt

social-adapt is a command for Claude Code from indranilbanerjee/neels-plugins. It costs 20 tokens per session (463 once invoked), scanned A, a copy of social-adapt, MIT.

A content repurposing tool that turns an article into social-media posts for up to eight platforms. It applies each platform's current length, hashtag, and format rules.

In plain words
What is it for?
Use it to create several posts per platform, select particular platforms, and apply a campaign hashtag, brand style, or published article link.
Why use it?
It removes the need to rewrite the same source article separately for every social network and helps avoid format violations.

Command for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to create several posts per platform, select particular platforms, and apply a campaign hashtag, brand style, or published article link.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/indranilbanerjee/neels-plugins/social-adapt
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.

Clone the repo
git clone --depth 1 https://github.com/indranilbanerjee/neels-plugins

Made for: Claude Code.

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-adapt

README.md
[![agentmods](https://agentmods.dev/badge/commands/indranilbanerjee/neels-plugins/social-adapt/github.svg)](https://agentmods.dev/commands/indranilbanerjee/neels-plugins/social-adapt)
Your own site
<a href="https://agentmods.dev/commands/indranilbanerjee/neels-plugins/social-adapt"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/neels-plugins/social-adapt/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-adapt

Your own site · 80×15
<a href="https://agentmods.dev/commands/indranilbanerjee/neels-plugins/social-adapt"><img src="https://agentmods.dev/badge/commands/indranilbanerjee/neels-plugins/social-adapt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 463 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.
Origin 86% copy Near-identical to another mod 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 $0.00020 $0.00463
Opus 5.5 $0.00008 $0.00185
Sonnet 5.5 $0.00004 $0.00093
Haiku 4.5 $0.00002 $0.00046

Measured 4d ago against content hash 48beeed4a751, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

social-adapt 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 4d 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.

Origin

This is a copy

86% identical to social-adapt — 0 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.

hermes/digital-marketing-pro/content/commands/social-adapt.md · 46 lines

What it actually says

Social Adapt

This command is a thin wrapper. The complete adaptation procedure lives in skills/cf-social-adapt/SKILL.md — read that file and execute it end to end. Do not improvise a different flow from this wrapper.

Trigger

User runs /contentforge:social-adapt or asks to repurpose content for social media, create social posts from an article, or promote content on social platforms.

Gather inputs

If not provided in the arguments, ask before proceeding:

  1. Source content — Google Drive URL, local file path, requirement ID (e.g., REQ-001), or pasted article text
  2. Platforms — all (default) or a comma-separated subset of the platforms defined in config/social-platform-specs.json
  3. Optional — posts per platform (default 3, max 10), brand profile, campaign hashtag, published article URL, available image assets, tone override

Platform rules — single source of truth

Character limits, hashtag counts, and format rules come from config/social-platform-specs.json. Read that file at run time; never use remembered limits or any table in this wrapper.

Execute

Follow skills/cf-social-adapt/SKILL.md in full: load source → extract shareworthy moments → apply platform specs from config → generate posts (hook, body, CTA, hashtags, image spec, posting time) → quality check (limit compliance, self-contained, CTA present, brand voice, no duplicates).

After adaptation

Ask: "Would you like me to:

  • Generate more posts for specific platforms?
  • Adapt another article?
  • Create A/B variants for the top-performing hooks? (/contentforge:cf-variants)
  • Translate these posts for other markets? (/contentforge:translate)"
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. 4d ago First seen · 46 lines · 20 tokens per session scan A 48beeed4a751

Subscribe to this mod's changes

social-adapt is a command published in the GitHub repository indranilbanerjee/neels-plugins (6 stars, last pushed 4d ago), licensed MIT. It adds 20 tokens to every session and 463 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to social-adapt, differing in 0 lines, and is treated as a copy.