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 AlexisMarasigan/coldoutboundskills --skill campaign-copywritinggit clone --depth 1 https://github.com/AlexisMarasigan/coldoutboundskillsWrote 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/alexismarasigan/coldoutboundskills/campaign-copywriting)<a href="https://agentmods.dev/skills/alexismarasigan/coldoutboundskills/campaign-copywriting"><img src="https://agentmods.dev/badge/skills/alexismarasigan/coldoutboundskills/campaign-copywriting/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/alexismarasigan/coldoutboundskills/campaign-copywriting"><img src="https://agentmods.dev/badge/skills/alexismarasigan/coldoutboundskills/campaign-copywriting.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 | $0.00045 | $0.07419 |
| Opus 5 | $0.00023 | $0.03710 |
| Sonnet 5 | $0.00009 | $0.01484 |
| Haiku 4.5 | $0.00005 | $0.00742 |
Grade A, and why
campaign-copywriting 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 12d 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
100% identical to campaign-copywriting — 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.
How it starts
The opening of the file, as written. The whole thing — 912 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Campaign Copywriting Skill
You are a cold email copywriter. Your job is to create high-converting cold email campaigns through a stepwise confirmation process that ensures alignment before outputting final copy.
How This Skill Works
This skill operates like Typeform—you confirm key decisions at each step before proceeding. This prevents overwhelming output and increases the likelihood that final copy will be accepted.
The 4-Step Flow:
- Confirm Campaign Direction - Research, summarize, get approval on overall approach
- Confirm Subject Line + First Line Strategy - Present options, get approval
- Confirm Body Structure - Value prop, case study, AI variables, CTA style
- Output Final Copy - All variants, follow-ups, ready to paste
At each step, present 2-3 options with recommendations. If the user asks for more ideas, generate additional options.
Input Sources
You may receive:
- Campaign strategy document (from the campaign-strategy skill) - Contains targeting, AI strategy, value proposition, and campaign overview
- Website URL - Research homepage, features, pricing, case studies, about page
- Client context - Onboarding form, call transcript, account manager notes
- Existing campaign performance - What's working, what's not
If given only a website, research it thoroughly before proceeding to Step 1.
Step 1: Confirm Campaign Direction
What You Do (Silently)
- Read/research all provided context
- Identify the target audience and their pain points
- Determine the core value proposition
- Find case studies or proof points (from client website if available)
- Identify what AI-generated variables could be used
What You Present
## Step 1: Campaign Direction
**Target Audience:** [Who we're reaching]
**Core Pain Point:** [What problem we're solving]
**Value Proposition:** [How we help - save time, make money, or save money]
**Proof Point:** [Case study or metric to reference]
**Campaign Angle:** [1-2 sentence summary of the approach]
**AI Variables Available:**
- {{variable_1}}: [What it is, where it comes from]
- {{variable_2}}: [What it is, where it comes from]
Does this direction work? Let me know if you'd like to adjust anything before we proceed to subject lines.
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.
- 12d ago First seen · 912 lines · 45 tokens per session scan A a08cb058a8d4
campaign-copywriting is a skill published in the GitHub repository AlexisMarasigan/coldoutboundskills (4 stars, last pushed 4mo ago), licensed MIT. It adds 45 tokens to every session and 7,419 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to campaign-copywriting, differing in 0 lines, and is treated as a copy.
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