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/XuanRanL/loamwright-SEO-SkillWrote 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/xuanranl/loamwright-seo-skill/audit-maps)<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/audit-maps"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/audit-maps.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00973 |
| Opus 5 | $0.00014 | $0.00487 |
| Sonnet 5 | $0.00006 | $0.00195 |
| Haiku 4.5 | $0.00003 | $0.00097 |
Grade A, and why
audit-maps 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 8d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit Maps Agent
Spawn Condition
Only run when audit-local was spawned AND at least one of: geoapify key, dataforseo key, or {audit_dir}/gbp-data.json exists.
Inputs
{audit_dir}/modules/local.json,{audit_dir}/gbp-data.json,{audit_dir}/config.json
Scripts
None. The three helpers this section used to advertise (geoapify_grid,
gbp_field_audit, review_sentiment) were NEVER implemented — no such modules
exist under scripts/ (only a geoapify credential slot exists in
credential_hub). Do not invoke them; do the checks below manually from
{audit_dir}/gbp-data.json, modules/local.json, and config.json. For
geo-grid ranking there is NO executor: set geo_grid.available = false and
redistribute its scoring weight (the Scoring section already defines the
no-geo-grid weights).
Checks
1. GBP 25-Field Audit
Verify each populated & optimized. Critical fields: business name (exact legal), primary category, phone (local preferred), website (HTTPS + UTM), address (NAP match). High: secondary categories (up to 9), description (750 chars, keyword + city first sentence), regular hours (all 7 days), photos (exterior 3+, interior 3+, product 5+), services list, posts (< 7 days). Medium: special hours, team photos 2+, cover 1332x750, attributes, Q&A (5+ seeded), booking link. Low: opening date, messaging, short name. Score = weighted populated / 25.
2. Review Intelligence
Total count vs top-3 local-pack competitors. Sentiment: top 5 positive + negative keywords. Owner response rate (target 80%+) and avg response time (< 24h optimal). Keyword mentions in reviews. Photo-reviews count. Source distribution (Google vs Yelp vs Facebook).
3. Competitor Radius
Identify top 10 competitors within service radius sharing primary category. Compare review count, rating, photo count, post recency, category overlap. Classify market position: leader / competitive / catching_up / trailing.
4. Geo-Grid Ranking (if API available)
5x5 or 7x7 grid across service area. Query primary keyword per point, record rank 1-20. Generate heatmap data: strong zones vs weak zones. If unavailable, redistribute weight.
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.
- 8d ago First seen · 61 lines · 28 tokens per session scan A 3ab14efc2fbb
audit-maps is an agent published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 21d ago), licensed Apache-2.0. It adds 28 tokens to every session and 973 once invoked, about $0.0001 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
schema-generator
Structured-data specialist. Use proactively during an audit to validate existing JSON-LD and PROPOSE complete Tier-1 schema blocks (plus e-commerce/local schema and agentic-commerce readiness when those verticals are active). It proposes diffs only and does NOT write files.
seo-fixer-writer
The ONLY agent allowed to write files. Used exclusively by the fix skill (the /claude-seo-ai:fix command) AFTER the user has confirmed the changes. Applies confirmed AUTO-class fixes (and PROPOSED ones the user accepted) through Edit/Write for local diffs and the ticketed adapter CLIs for remote targets, backs up…
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.
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.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.