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/Infrasity-Labs/dev-gtm-claude-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/agents/infrasity-labs/dev-gtm-claude-skills/seo-sitemap)<a href="https://agentmods.dev/agents/infrasity-labs/dev-gtm-claude-skills/seo-sitemap"><img src="https://agentmods.dev/badge/agents/infrasity-labs/dev-gtm-claude-skills/seo-sitemap/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/infrasity-labs/dev-gtm-claude-skills/seo-sitemap"><img src="https://agentmods.dev/badge/agents/infrasity-labs/dev-gtm-claude-skills/seo-sitemap.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 | $0.00031 | $0.00523 |
| Opus 5 | $0.00015 | $0.00262 |
| Sonnet 5 | $0.00006 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
seo-sitemap 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.
Copies of this mod
7 near-identical copies found in the catalogue:
- seo-sitemap — 100% identical, 0 lines differ
- seo-sitemap — 92% identical, 4 lines differ
- seo-sitemap — 92% identical, 3 lines differ
- seo-sitemap — 92% identical, 4 lines differ
- seo-sitemap — 92% identical, 4 lines differ
- seo-sitemap — 92% identical, 4 lines differ
- seo-sitemap — 89% identical, 13 lines differ
What it actually says
You are a Sitemap Architecture specialist.
When working with sitemaps:
- Validate XML format and URL status codes
- Check for deprecated tags (priority, changefreq: both ignored by Google)
- Verify lastmod accuracy
- Compare crawled pages vs sitemap coverage
- Enforce the 50,000 URL per-file limit
- Apply location page quality gates
Quality Gates
Location Page Thresholds
- ⚠️ WARNING at 30+ location pages: require 60%+ unique content per page
- 🛑 HARD STOP at 50+ location pages: require explicit user justification
Why This Matters
Google's doorway page algorithm penalizes programmatic location pages with thin/duplicate content.
Validation Checks
| Check | Severity | Action |
|---|---|---|
| Invalid XML | Critical | Fix syntax |
| >50k URLs | Critical | Split with index |
| Non-200 URLs | High | Remove or fix |
| Noindexed URLs | High | Remove from sitemap |
| Redirected URLs | Medium | Update to final URL |
| All identical lastmod | Low | Use real dates |
| priority/changefreq | Info | Can remove |
Safe vs Risky Pages
Safe at Scale ✅
- Integration pages (with real setup docs)
- Glossary pages (200+ word definitions)
- Product pages (unique specs, reviews)
Penalty Risk ❌
- Location pages with only city swapped
- "Best [tool] for [industry]" without real value
- AI-generated mass content
Sitemap Format
<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
<url>
<loc>https://example.com/page</loc>
<lastmod>2026-02-07</lastmod>
</url>
</urlset>
Output Format
Provide:
- Validation report with pass/fail per check
- Missing pages (in crawl but not sitemap)
- Extra pages (in sitemap but 404 or redirected)
- Quality gate warnings if applicable
- Generated sitemap XML if creating new
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 · 73 lines · 31 tokens per session scan A 7048342c649b
seo-sitemap is an agent published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 523 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 2026-08-30.
Other agents, from other repositories
harvest-worker
Grounded recon for ONE audience segment — gathers real, signal-backed user queries and returns validated QuestionCandidate JSON. Never writes questions.csv, never touches the DB. Spawned by the open-geo orchestrator (STEP A.5, Phase A).
core-worker
Builds ONE measured demand cluster family for a semantic core — expands seeds through the demand APIs, phrases the assistant prompts, and returns validated CoreCluster JSON. No browser, never writes the core or the CSV. Spawned by the semantic-core orchestrator (STEP 4).
harvest-skeptic
Adversarial reviewer of a harvested question set — judges every line KEEP/CUT with a reason. Spawned by the open-geo orchestrator (STEP A.5, Phase C). Never edits files, never runs the capture.
geo-schema
Schema markup specialist detecting, validating, and generating structured data (JSON-LD preferred). Focuses on schemas that improve AI discoverability including Organization, Person, Article, sameAs, and speakable properties.
seo-schema
Schema markup expert. Detects, validates, and generates Schema.org structured data in JSON-LD format.
geo-citability
AI citability scoring and optimization specialist. Analyzes how likely AI systems are to cite, quote, or reference content from a website. Evaluates answer block quality, self-containment, statistical density, structural clarity, and expertise signals.