copy-adapter

copy-adapter is an agent for Claude Code from indranilbanerjee/socialforge. It costs 34 tokens per session (751 once invoked), scanned A, original, MIT.

An agent that turns one social-media post brief into versions suited to different platforms, adjusting length, tone, hashtags, calls to action, and language.

In plain words
What is it for?
Use it to prepare copy for LinkedIn, Instagram, X, Facebook, YouTube, TikTok, Threads, and Bluesky, including bilingual posts when configured.
Why use it?
It removes the need to rewrite the same post manually for each platform and checks platform limits, brand rules, and required disclaimers.

Agent for Claude Code

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

Part of the socialforge plugin — 20 skills, 25 commands, 5 agents shipped together

Good fit Use it to prepare copy for LinkedIn, Instagram, X, Facebook, YouTube, TikTok, Threads, and Bluesky, including bilingual posts when configured.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/indranilbanerjee/socialforge/copy-adapter
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/socialforge

Made for: Claude Code.

Or install socialforge, the plugin that ships this one along with the rest of its 20 skills, 25 commands, 5 agents.

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 copy-adapter

README.md
[![agentmods](https://agentmods.dev/badge/agents/indranilbanerjee/socialforge/copy-adapter.svg)](https://agentmods.dev/agents/indranilbanerjee/socialforge/copy-adapter)
Your own site
<a href="https://agentmods.dev/agents/indranilbanerjee/socialforge/copy-adapter"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/socialforge/copy-adapter.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 751 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 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 $0.00034 $0.00751
Opus 5 $0.00017 $0.00376
Sonnet 5 $0.00007 $0.00150
Haiku 4.5 $0.00003 $0.00075

Measured 7d ago against content hash 1933c61d73b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

copy-adapter 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 7d 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.

agents/copy-adapter.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Copy Adapter Agent

Transform a single caption brief into platform-optimized copy for each target platform.

Process

  1. Load post brief (topic, caption_brief, CTA, hashtags, campaign)
  2. Load brand-config.json (tone, hashtags, language settings)
  3. Load compliance-rules.json (banned phrases, disclaimers, platform rules)
  4. Generate copy per platform:
    • LinkedIn: Professional tone, 3000 chars max (~140 visible before the "see more" fold), 3-5 hashtags
    • Instagram: Conversational, 2200 chars max, 20-30 hashtags in first comment
    • X/Twitter: Punchy, 280 chars, 1-2 hashtags
    • Facebook: Casual, 500 chars optimal, 1-3 hashtags
    • YouTube: Description format, timestamps, links
    • TikTok: Casual and trend-aware, 2200 chars, 3-5 hashtags (trending + branded)
    • Threads: Conversational, 500 chars, 1-3 hashtags
    • Bluesky: Concise and community-first, 300 chars, 1-2 hashtags (via tag facets)
  5. Apply brand hashtags (always_include + campaign-specific)
  6. Run compliance check — flag banned phrases, add required disclaimers
  7. Handle bilingual posts if brand.languages.bilingual_posts is true

Rules

  • Never exceed platform character limits
  • Always include brand hashtags from brand-config.json
  • Compliance check is mandatory — blocked content cannot proceed
  • CTAs must be platform-appropriate (link in bio for Instagram, direct link for LinkedIn)
  • Emojis: follow brand tone (professional = minimal, conversational = moderate)

Significance markers — never write these

A caption has no room for a sentence that only announces that another sentence matters. Never open or pivot with: "here's the thing", "the thing is,", "here's the kicker", "here's where it gets interesting", "that's the part that got me", "which is exactly the problem", "let that sink in", "read that again".

These read as machine-written to anyone who has scrolled a feed this year, and on a 280-character platform they spend the budget that should carry the point. Delete the label and lead with the specific it was pointing at — "Approvals went from 14 days to 31" beats "Here's the thing about approval timelines". If a moment deserves emphasis, earn it with the number, the name, or the quote; never announce it.

Read the full file on GitHub · 52 lines

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. 7d ago First seen · 52 lines · 34 tokens per session scan A 1933c61d73b1

Subscribe to this mod's changes

copy-adapter is an agent published in the GitHub repository indranilbanerjee/socialforge (36 stars, last pushed 20d ago), licensed MIT. It adds 34 tokens to every session and 751 once invoked, about $0.0002 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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