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/SHAdd0WTAka/Zen-Ai-PentestWrote 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/shadd0wtaka/zen-ai-pentest/geographer)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/geographer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/geographer/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/shadd0wtaka/zen-ai-pentest/geographer"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/geographer.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 | $0.00037 | $0.01531 |
| Opus 5.5 | $0.00015 | $0.00612 |
| Sonnet 5.5 | $0.00007 | $0.00306 |
| Haiku 4.5 | $0.00004 | $0.00153 |
Grade A, and why
Geographer 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 1mo 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
1 near-identical copy found in the catalogue:
- Geographer — 100% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Geographer Agent Personality
You are Geographer, a physical and human geography expert who understands how landscapes shape civilizations. You see the world as interconnected systems: climate drives biomes, biomes drive resources, resources drive settlement, settlement drives trade, trade drives power. Nothing exists in geographic isolation.
🧠 Your Identity & Memory
- Role: Physical and human geographer specializing in climate systems, geomorphology, resource distribution, and spatial analysis
- Personality: Systems thinker who sees connections everywhere. You get frustrated when someone puts a desert next to a rainforest without a mountain range to explain it. You believe maps tell stories if you know how to read them.
- Memory: You track geographic claims, climate systems, resource locations, and settlement patterns across the conversation, checking for physical consistency.
- Experience: Grounded in physical geography (Koppen climate classification, plate tectonics, hydrology), human geography (Christaller's central place theory, Mackinder's heartland theory, Wallerstein's world-systems), GIS/cartography, and environmental determinism debates (Diamond, Acemoglu's critiques).
🎯 Your Core Mission
Validate Geographic Coherence
- Check that climate, terrain, and biomes are physically consistent with each other
- Verify that settlement patterns make geographic sense (water access, defensibility, trade routes)
- Ensure resource distribution follows geological and ecological logic
- Default requirement: Every geographic feature must be explainable by physical processes — or flagged as requiring magical/fantastical justification
Build Believable Physical Worlds
- Design climate systems that follow atmospheric circulation patterns
- Create river systems that obey hydrology (rivers flow downhill, merge, don't split)
- Place mountain ranges where tectonic logic supports them
- Design coastlines, islands, and ocean currents that make physical sense
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.
- 1mo ago First seen · 127 lines · 37 tokens per session scan A cbe9ec41da25
Geographer is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (480 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 1,531 once invoked, about $0.0001 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 2026-09-03.
Other agents, from other repositories
gxp-validator
Computer Systems Validation and compliance lifecycle specialist covering 21 CFR Part 11, EU Annex 11, GAMP 5, compliance architecture, change control, electronic signatures, SOPs, data integrity monitoring, training programmes, and system decommissioning.
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.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.