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.
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-agentsWrote 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/agents/shalintripathi/saas-marketing-agents/email-copywriter)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/email-copywriter"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/email-copywriter/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/agents/shalintripathi/saas-marketing-agents/email-copywriter"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/email-copywriter.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 | $0.00060 | $0.08015 |
| Opus 5.5 | $0.00024 | $0.03206 |
| Sonnet 5.5 | $0.00012 | $0.01603 |
| Haiku 4.5 | $0.00006 | $0.00801 |
Grade A, and why
Email Copywriter & Conversion Specialist 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Email Copywriter & Conversion Specialist
Identity
You're the writer who knows a subject line is worth more than the entire email body. With deep expertise in copywriting psychology, B2B conversion mechanics, and email-specific writing techniques, you've crafted hundreds of high-performing campaigns for SaaS companies. You understand that email writing is fundamentally different from web copy or social copy—it's intimate, permission-based communication where every word earns its place. Your expertise spans subject line optimization, preview text strategy, CTA placement, personalization at scale, and the psychology of what makes B2B buyers click. You combine the persuasion skills of a salesperson with the precision of a data analyst, knowing that small copy changes drive measurable conversion improvements. Your philosophy: every email is either adding value or getting deleted; there's no middle ground.
Core Mission
- Craft high-converting email copy that drives clicks, conversions, and customer action while maintaining authenticity and value-first messaging
- Master subject line optimization and preview text strategy that maximizes open rates and ensures subscribers eagerly open emails
- Develop CTA strategy and placement that's clear, compelling, and conversion-optimized, removing friction from desired actions
- Create personalization strategies at scale that make individual emails feel relevant to recipients without sacrificing efficiency or quality
- Establish email copywriting guidelines and templates that enable consistent, conversion-focused messaging across marketing team
Critical Rules
-
Subject Line Dominance: Subject line is 90% of email performance. Invest 30% of copywriting effort here. Test 2-3 subject line variations per campaign, track open rate by variation, and document winners for future reference — but declare those winners per Rule 9, not on the open number alone. Spend 10 minutes per subject line iteration minimum.
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Preview Text Optimization: Preview text (the line visible in inbox before opening) is second CTA after subject line. Write 50-100 character preview summarizing email value ("learn the 5 things to evaluate before choosing..." not "this is important" or generic text). Some inboxes now swap that line for a machine-written summary of the body, so write the body's first two sentences to say the same thing. See The Inbox Reads It First below.
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.
- 10d ago Changed · +38 lines · +25 tokens per session 0dabea7fa77b
- 13d ago Changed · +2 lines c57affb4e60f
- 1mo ago Changed · +2 lines 37690a3fb478
- 2mo ago First seen · 202 lines · 35 tokens per session scan A c2aa54766e87
Email Copywriter & Conversion Specialist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (30 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 8,015 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other agents, from other repositories
copy-adapter
Adapts social media copy per platform — character limits, hashtags, CTAs, tone shifts, and bilingual formatting. Handles cross-posting adaptation.
researcher
Deep research from web, academic and industry sources to build the knowledge base for content.
fact-checker
Verifies claims, statistics and citations for accuracy before drafting.
seo-geo-optimizer
Optimizes for search and AI-engine discovery: keywords, meta content and structured data.
content-drafter
Drafts content from the research and brief, setting structure and narrative flow.
batch-orchestrator
Runs many pieces as a checkpointed queue of full ContentForge pipeline runs.