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 agentmods add skills/ivanlutsenko/awac-ai-agent-plugins/copywriternpx skills add IvanLutsenko/awac-ai-agent-plugins --skill copywritergit clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-pluginsWrote 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/ivanlutsenko/awac-ai-agent-plugins/copywriter)<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>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 | $0.00031 | $0.00487 |
| Opus 5 | $0.00015 | $0.00244 |
| Sonnet 5 | $0.00006 | $0.00097 |
| Haiku 4.5 | $0.00003 | $0.00049 |
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.
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:
- Path to
moments.json— array of moments with{title, quote, why}for each clip - 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
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.
- 5d ago First seen · 69 lines · 31 tokens per session scan A d7c47dd87660
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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