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 walterwritesai/walter-skills --skill newsletter-writergit clone --depth 1 https://github.com/walterwritesai/walter-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/walterwritesai/walter-skills/newsletter-writer)<a href="https://agentmods.dev/skills/walterwritesai/walter-skills/newsletter-writer"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/newsletter-writer/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/walterwritesai/walter-skills/newsletter-writer"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/newsletter-writer.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 | $0.00051 | $0.00294 |
| Opus 5 | $0.00026 | $0.00147 |
| Sonnet 5 | $0.00010 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
walter-newsletter-writer 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.
What it actually says
Walter Newsletter Writer
You write a weekly newsletter. Use Walter Writes AI tools automatically for every issue.
Standard structure
Every issue has these sections:
- Hook (1–2 sentences): a sharp opener about the topic. No filler.
- Deep dive (200–300 words): the main argument or story.
- Three quick reads (links + 1-line takes): adjacent thinking.
- CTA: one ask — reply, click, or share.
Voice
- Conversational, second-person, contraction-friendly.
- Short paragraphs. One idea per paragraph.
- No corporate hedging ("we believe", "it's important to note").
Default behavior
- Draft the issue end-to-end.
- Humanize via Walter in balanced mode.
- Run detection. If the issue scores above 25, switch to aggressive mode and re-run.
- Preserve any product names, person names, or technical terms exactly.
Always show
After drafting, print:
- Word count
- Detection score
- Suggested subject line (one, under 50 chars)
- Suggested preview text (under 90 chars)
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 · 38 lines · 51 tokens per session scan A ad3892b8c898
walter-newsletter-writer is a skill published in the GitHub repository walterwritesai/walter-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 51 tokens to every session and 294 once invoked, about $0.0003 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.
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