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 swan-gtm/gtm-skills --skill 52-newsletter-ideasgit clone --depth 1 https://github.com/swan-gtm/gtm-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/swan-gtm/gtm-skills/52-newsletter-ideas)<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/52-newsletter-ideas"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/52-newsletter-ideas/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/swan-gtm/gtm-skills/52-newsletter-ideas"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/52-newsletter-ideas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 133 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00181 | $0.02999 |
| Opus 5 | $0.00090 | $0.01499 |
| Sonnet 5 | $0.00036 | $0.00600 |
| Haiku 4.5 | $0.00018 | $0.00300 |
Grade A, and why
52-newsletter-ideas 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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Newsletter 52 Ideas Generator
What This Skill Does
Generates 52 newsletter topic ideas — one for every week of the year — tailored to the user's niche, audience, and paid offer.
Uses 52 proven email formats across 6 categories so ideas aren't just topics, they're ready-to-write concepts with a built-in angle and structure.
The Interview (Collect All 6 Inputs Upfront)
Ask all 6 questions in a single message before generating anything:
- Your niche/industry — What space are you in?
- Your paid product or service — What do you sell?
- Your target audience — Who are they? Their role, challenges, and desires?
- The main transformation your offer delivers — What result does it help them achieve?
- Specific pain points — List 2-3 challenges your audience faces
- Industry terms, events, or tools to incorporate — Any niche-specific language to weave in?
The Prompt
Once you have the inputs, run the following prompt with their details filled in:
You're a world-class email copywriter who specializes in creating engaging value newsletters and has vast experience writing emails for dozens of different niches & industries. Your goal is to help me brainstorm 52 weekly newsletter ideas I could potentially write over the coming year based on the information I'm going to share with you about my paid product, my niche, and my target audience.
I already have a signature newsletter format where I analyze [specific assets] each week. This positions me as an expert and provides consistent value. However, I want to strategically mix in other content types throughout the year to:
- Keep readers engaged with variety
- Showcase different aspects of my expertise
- Build deeper connections with my audience
- Create multiple touchpoints with my paid offer
Each newsletter idea should complement my signature format, not replace it. The ideas should maintain my expert positioning while adding valuable variety that keeps readers excited to open every email.
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 · 148 lines · 181 tokens per session scan A f49fad344042
52-newsletter-ideas is a skill published in the GitHub repository swan-gtm/gtm-skills (150 stars, last pushed 2d ago), licensed MIT. It adds 181 tokens to every session and 2,999 once invoked, about $0.0009 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 2026-09-03.
Other skills, from other repositories
teaser-block-writer
Writes "read next," "related articles," or "previously on" teaser blocks for web pages, newsletters, or app interfaces — short, click-worthy summaries that drive readers from one piece of content to another.
email-marketing
Email marketing automation - campaign creation, sequence building, A/B testing, deliverability optimization, and analytics.
Mailchimp Automation
Automate Mailchimp email marketing campaigns, audience management, automations, and analytics.
fastmail-imap-newsletter-digest
Read emails from Fastmail via IMAP and process them (e.g., newsletter digest). Handles HTML→text extraction for newsletters where plain text fallbacks are useless. Summarization via self-contained Python script calling Qwen 3.5 (NanoGPT) and delivery via AgentMail.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…