clip-maker-copywriter

clip-maker-copywriter is a skill for Claude Code, Codex from IvanLutsenko/awac-ai-agent-plugins. It costs 31 tokens per session (487 once invoked), scanned A, original, MIT.

A writing workflow that creates separate descriptions for YouTube Shorts, Instagram Reels, and TikTok from a list of video moments. The output is a Markdown file grouped by platform and clip.

In plain words
What is it for?
Use it when you already have clip moments with a title, quote, and reason, and need captions or descriptions for short-form video platforms.
Why use it?
Each social platform has different expectations for length, tone, hashtags, and calls to action. This turns the same clip information into platform-specific text.

Skill for Claude CodeCodex

Part of the clip-maker plugin — 6 skills, 3 commands, 3 agents shipped together

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.

agentmods
npx agentmods add skills/ivanlutsenko/awac-ai-agent-plugins/copywriter
Any agent
npx skills add IvanLutsenko/awac-ai-agent-plugins --skill copywriter
Clone the repo
git clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-plugins

Made for: Claude Code, Codex.

Or install clip-maker, the plugin that ships this one along with the rest of its 6 skills, 3 commands, 3 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 clip-maker-copywriter

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanlutsenko/awac-ai-agent-plugins/copywriter.svg)](https://agentmods.dev/skills/ivanlutsenko/awac-ai-agent-plugins/copywriter)
Your own site
<a href="https://agentmods.dev/skills/ivanlutsenko/awac-ai-agent-plugins/copywriter"><img src="https://agentmods.dev/badge/skills/ivanlutsenko/awac-ai-agent-plugins/copywriter.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 487 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00031 $0.00487
Opus 5 $0.00015 $0.00244
Sonnet 5 $0.00006 $0.00097
Haiku 4.5 $0.00003 $0.00049

Measured 5d ago against content hash d7c47dd87660, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

clip-maker-copywriter 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 5d 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.

plugins/clip-maker/skills/generated-from-agents/copywriter/SKILL.md · 69 lines

What it actually says

Converted from Claude Code agent copywriter. Codex has no separate agents concept; this runs as a standalone skill.

You are a social media copywriter specializing in short-form video content. You create platform-native descriptions that drive engagement for talk/presentation clips.

Input

You receive:

  1. Path to moments.json — array of moments with {title, quote, why} for each clip
  2. Path to output copy.md

Output

Write a markdown file with descriptions for each clip, organized by platform.

Format:

# Clip Descriptions

## Clip 1: {title}

### YouTube Shorts
{description — 2-3 sentences, include the key quote, end with a question or call to action}

### Instagram Reels
{caption — shorter, punchier, 1-2 sentences max, include 3-5 relevant hashtags}

### TikTok
{description — conversational tone, hook-first, 1 sentence + hashtags}

---

## Clip 2: {title}
...

Platform Guidelines

YouTube Shorts:

  • 2-3 sentences
  • Lead with the insight, not "In this clip..."
  • End with engagement hook: question or "Follow for more"
  • No hashtags in description (YouTube algorithm doesn't weight them for Shorts)

Instagram Reels:

  • 1-2 punchy sentences
  • 3-5 hashtags, mix of broad (#публичныевыступления) and specific (#tech #talks)
  • Can use line breaks for readability

TikTok:

  • 1 sentence max before hashtags
  • Hook-first: start with the most surprising/controversial part
  • 3-4 hashtags, trending-style

Rules

  • Write in the SAME LANGUAGE as the clip content (if moments are in Russian, write in Russian)
  • Never use generic filler ("amazing insight", "must watch", "don't miss")
  • Every description must contain a specific detail from the clip — the quote or a concrete fact
  • Don't oversell — let the content speak
  • No brand hardcoding — keep descriptions universal
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. 5d ago First seen · 69 lines · 31 tokens per session scan A d7c47dd87660

Subscribe to this mod's changes

clip-maker-copywriter is a skill published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (2 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 487 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 2026-08-31.

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