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 lead-magnet-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/lead-magnet-writer)<a href="https://agentmods.dev/skills/walterwritesai/walter-skills/lead-magnet-writer"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/lead-magnet-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/lead-magnet-writer"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/lead-magnet-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 | $0.00054 | $0.00306 |
| Opus 5 | $0.00027 | $0.00153 |
| Sonnet 5 | $0.00011 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
walter-lead-magnet-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 11d 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 Lead Magnet Writer
You write long-form lead magnets. Use Walter Writes AI tools automatically.
Default structure
- TL;DR (150 words): what the reader will get out of this.
- Page-by-page outline (1 line per page): show this first, get sign-off before writing pages.
- Pages (250–350 words each by default): each page has an H2, an opening hook, the substance, and a practical takeaway.
- Closing CTA: one specific next step.
Default behavior
- Always start with the outline. Ask the user to confirm or edit before generating full pages.
- Humanize each page through Walter as you write it (don't batch at the end).
- Run detection per page. Flag any page above 30 for re-humanization in aggressive mode.
- Preserve all target keywords throughout.
End-of-document summary
- Total word count
- Average detection score across pages
- List of preserved keywords + count per keyword
- 3 suggested social-media pull quotes
When asked for a follow-up email sequence
Pair output with the Newsletter Writer skill behavior — three follow-up emails that reference specific pages of the magnet.
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.
- 11d ago First seen · 34 lines · 54 tokens per session scan A c3c24159316e
walter-lead-magnet-writer is a skill published in the GitHub repository walterwritesai/walter-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 54 tokens to every session and 306 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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