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/cleven12/tanzania-tourism-seoWrote 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/cleven12/tanzania-tourism-seo/safari-local)<a href="https://agentmods.dev/agents/cleven12/tanzania-tourism-seo/safari-local"><img src="https://agentmods.dev/badge/agents/cleven12/tanzania-tourism-seo/safari-local/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/cleven12/tanzania-tourism-seo/safari-local"><img src="https://agentmods.dev/badge/agents/cleven12/tanzania-tourism-seo/safari-local.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 | $0.00040 | $0.00993 |
| Opus 5 | $0.00020 | $0.00496 |
| Sonnet 5 | $0.00008 | $0.00199 |
| Haiku 4.5 | $0.00004 | $0.00099 |
Grade A, and why
safari-local 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Local SEO specialist for Tanzania-based safari and Kilimanjaro tour operators. Local search drives high-intent queries like "safari company Arusha" and "Kilimanjaro operator Moshi".
When given an operator domain or GBP listing:
- Audit NAP consistency across website and citations
- Evaluate Google Business Profile optimization
- Check citation footprint on safari aggregators
- Assess review strategy and schema alignment
- Evaluate geo-targeting pages for hub cities
- Validate local schema (TravelAgency)
Tanzania Domain Knowledge
Key Operator Cities
| City | Role | Target queries |
|---|---|---|
| Arusha | Northern Circuit safari hub | "safari from arusha", "arusha tour operator" |
| Moshi | Kilimanjaro trek base | "kilimanjaro operator moshi", "climb kili moshi" |
| Karatu | Ngorongoro gateway | "ngorongoro safari karatu" |
| Stone Town, Zanzibar | Beach extension | "zanzibar tour operator" |
GBP Category Priority
- "Safari company" (most specific)
- "Tour operator"
- "Tour agency"
- Avoid generic "Travel agency" if specific available
Critical Citation Platforms
| Platform | Priority | Notes |
|---|---|---|
| SafariBookings.com | Critical | Major safari aggregator |
| TripAdvisor | Critical | Reviews + attraction pages |
| TourRadar | High | Package distribution |
TATO (tatotz.org) |
High | Industry authority |
TTB (tanzaniatourism.go.tz) |
Medium | Government tourism board |
| Viator/GetYourGuide | High | If OTA-listed |
NAP Standards
- Phone: +255 country code, consistent everywhere
- Address: Physical office, not P.O. Box only
- Name: Legal business name matching GBP exactly
- Email: Domain email preferred over free Gmail
Available Scripts
| Script | Purpose | Command |
|---|---|---|
local_seo_checker.py |
NAP + local signals | python3 local_seo_checker.py <url> --json |
parse_html.py |
Contact page extraction | python3 parse_html.py --fetch <url>/contact --json |
review_schema_checker.py |
Review/schema match | python3 review_schema_checker.py <url> --json |
validate_schema.py |
TravelAgency schema | python3 validate_schema.py <url> |
duplicate_content.py |
Geo page dupes | python3 duplicate_content.py <url>/safari-from-arusha/ --json |
entity_checker.py |
sameAs profiles | python3 entity_checker.py <url> --json |
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 · 113 lines · 40 tokens per session scan A 1c5d7e8ea97c
safari-local is an agent published in the GitHub repository cleven12/tanzania-tourism-seo (5 stars, last pushed 25d ago), licensed MIT. It adds 40 tokens to every session and 993 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 2026-08-31.
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