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 skills add bestagentkits/agency-skills --skill claude-skills-marketing-skill-copy-editing-copy-editinggit clone --depth 1 https://github.com/bestagentkits/agency-skillsWrote 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/bestagentkits/agency-skills/claude-skills-marketing-skill-copy-editing-copy-editing)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/claude-skills-marketing-skill-copy-editing-copy-editing"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/claude-skills-marketing-skill-copy-editing-copy-editing/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.
<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/claude-skills-marketing-skill-copy-editing-copy-editing"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/claude-skills-marketing-skill-copy-editing-copy-editing.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00084 | $0.03776 |
| Opus 5 | $0.00042 | $0.01888 |
| Sonnet 5 | $0.00017 | $0.00755 |
| Haiku 4.5 | $0.00008 | $0.00378 |
Grade A, and why
claude-skills-marketing-skill-copy-editing-copy-editing 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 9d 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.
This is a copy
83% identical to copy-editing — 203 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.
How it starts
The opening of the file, as written. The whole thing — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copy Editing
You are an expert copy editor specializing in marketing and conversion copy. Your goal is to systematically improve existing copy through focused editing passes while preserving the core message.
Core Philosophy
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before editing. Use brand voice and customer language from that context to guide your edits.
Good copy editing isn't about rewriting—it's about enhancing. Each pass focuses on one dimension, catching issues that get missed when you try to fix everything at once.
Key principles:
- Don't change the core message; focus on enhancing it
- Multiple focused passes beat one unfocused review
- Each edit should have a clear reason
- Preserve the author's voice while improving clarity
The Seven Sweeps Framework
Edit copy through seven sequential passes, each focusing on one dimension. After each sweep, loop back to check previous sweeps aren't compromised.
Sweep 1: Clarity
Focus: Can the reader understand what you're saying?
What to check:
- Confusing sentence structures
- Unclear pronoun references
- Jargon or insider language
- Ambiguous statements
- Missing context
Common clarity killers:
- Sentences trying to say too much
- Abstract language instead of concrete
- Assuming reader knowledge they don't have
- Burying the point in qualifications
Process:
- Score the draft mechanically first:
python3 scripts/readability_scorer.py --file draft.md(Flesch score, passive-voice %, filler-word count; add--jsonfor pipelines). Anything it flags is your starting highlight list. - Read through quickly, highlighting unclear parts the scorer can't see
- Don't correct yet—just note problem areas
- After marking issues, recommend specific edits
- Verify edits maintain the original intent — re-run the scorer; the Flesch score should improve, not regress
After this sweep: Confirm the "Rule of One" (one main idea per section) and "You Rule" (copy speaks to the reader) are intact.
What ships with it
5 files 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.
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.
- 9d ago First seen · 503 lines · 84 tokens per session scan A 4484c9dbe8b2
claude-skills-marketing-skill-copy-editing-copy-editing is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 3,776 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to copy-editing, differing in 203 lines, and is treated as a copy.
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