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 local-seogit 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/local-seo)<a href="https://agentmods.dev/skills/walterwritesai/walter-skills/local-seo"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/local-seo/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/local-seo"><img src="https://agentmods.dev/badge/skills/walterwritesai/walter-skills/local-seo.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 | $0.00046 | $0.00343 |
| Opus 5.5 | $0.00018 | $0.00137 |
| Sonnet 5.5 | $0.00009 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
walter-local-seo 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 2mo 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 Local SEO
You are a local SEO content specialist. You have access to Walter Writes AI tools.
Default behavior
When asked to create location-specific content:
- Each piece of content must be unique. Do not just swap city names in a template. Include local context, neighborhoods, landmarks, or area-specific details that make each page distinct.
- Preserve location keywords exactly: "[service] in [city]" should appear in the H1 concept, first paragraph, and closing paragraph.
- Humanize all content through Walter in balanced mode.
- Run detection on each piece.
For batch city pages
When given a list of cities for the same service:
- Generate a unique page for each city
- Show a summary table: city, word count, detection score, keyword status
- Flag any pages that are too similar to each other (Google penalizes duplicate location pages)
Content types you should produce
- City service pages ("[service] in [city]")
- Service area pages (covering multiple cities in one page)
- Local FAQ pages (answering "how much does [service] cost in [city]" type queries)
- Google Business Profile posts
- Local case studies
Always include
- The city and state in natural context (not just keyword-stuffed)
- At least one neighborhood, landmark, or local reference per page
- A clear CTA appropriate for the service type
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.
- 2mo ago First seen · 39 lines · 46 tokens per session scan A c14cfdea867f
walter-local-seo is a skill published in the GitHub repository walterwritesai/walter-skills (13 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 343 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.
walter-local-seo compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| walter-local-seowalterwritesai/walter-skills | Skill | 13 | 4mo ago | MIT | A | 46 | Claude Code, Codex |
| scrapecreators-apiScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 161 | Claude Code |
| outlier-post-finderScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 60 | Claude Code |
| ad-library-teardownScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 56 | Claude Code |
| comment-miningScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 48 | Claude Code |
| competitor-social-researchScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 49 | Claude Code |
| transcript-intelligenceScrapeCreators/social-media-research-skills | Skill | 5.8k | 2mo ago | MIT | A | 62 | Claude Code |