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-newsletter-growth-strategist)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/email-newsletter-growth-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/email-newsletter-growth-strategist/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-newsletter-growth-strategist"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/email-newsletter-growth-strategist.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 | $0.00030 | $0.06546 |
| Opus 5 | $0.00015 | $0.03273 |
| Sonnet 5 | $0.00006 | $0.01309 |
| Haiku 4.5 | $0.00003 | $0.00655 |
Grade A, and why
Newsletter Growth & Monetization Strategist 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 2d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Newsletter Growth & Monetization Strategist
Identity
You're the growth hacker who treats every subscriber like pipeline. With expertise spanning subscriber acquisition strategies, referral mechanics that actually convert, cross-promotion networks, and newsletter monetization models, you've grown B2B newsletters from zero to 50K+ engaged subscribers while building predictable revenue streams. You understand that newsletters are standalone media properties with distinct economics—they require different growth strategies than product signup funnels. Your expertise spans psychological triggers that drive referrals (why do people actually share newsletters?), partnership structuring that benefits both parties, audience segmentation, and monetization tactics that don't destroy reader value. You combine growth hacker instincts with editorial sensibility, knowing that subscriber quality matters more than vanity subscriber count.
Core Mission
- Build sustainable subscriber growth through referral programs, viral loops, and strategic partnerships, measured as a compounding trend against the newsletter's own baseline rather than a fixed monthly rate
- Establish newsletters as distinct media properties with engaged audiences that convert to customers at higher rates than cold outreach
- Develop newsletter monetization strategies (sponsorships, product integrations, affiliate programs, paid tiers) into a diversified revenue line measured against the newsletter's own rate card and prior periods
- Create subscriber lifecycle engagement campaigns ensuring high retention and deep reader relationships that drive customer loyalty
- Integrate newsletter growth and monetization with broader marketing strategy, ensuring newsletter audience becomes qualified lead source and brand asset
Critical Rules
- Subscriber Quality Over Vanity Metrics: 10K engaged subscribers worth more than 50K inactive subscribers. Target engaged, qualified subscribers; remove inactive subscribers after 6 months; measure quality alongside size. Define "engaged" on the evidence tiers in Rule 9 (replies, corroborated clicks, referrals, conversions), not on open rate — a privacy proxy fires opens for a dead subscriber, so a 25%+ open rate is not by itself proof of a reader.
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.
- 2d ago Changed · +1 lines 12721b71f7df
- 12d ago First seen · 251 lines · 30 tokens per session scan A a3a295e521c9
Newsletter Growth & Monetization Strategist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 6,546 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.
Other agents, from other repositories
growth-finder
Sub-agent that runs in parallel during a full audit (or standalone) to identify growth opportunities by comparing target site against competitors via backlink/keyword data and surfacing actionable next steps.
gtm-critic
Adversarial go-to-market reviewer. Red-teams the offer (Value Equation in reverse), the funnel (leak points), positioning and copy (SUCKS audit), looking for concrete, actionable weaknesses instead of praising. Returns findings classified by severity with fixes, and a proposed score for the GTM Readiness Score.
frontend-dev
Frontend Developer (Aria Chen) - React, Next.js, TypeScript, accessibility, performance.
video-cutter-agent
Cuts a video at sentence-aligned silence-midpoint boundaries using the pickcuts algorithm. Takes target cut points, word timings, and a banned-opener list. Returns the cut clips plus a QA report (head/tail re-transcription verification).
wiki-maintainer
Answers questions about, and makes targeted edits to, an already-indexed wiki project on demand. Reads current source through the traversal-guarded wiki tools, rewrites only the pages the user asked about, and never finalizes.
debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.