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/geoprocessing-specialist)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/geoprocessing-specialist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/geoprocessing-specialist/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/geoprocessing-specialist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/geoprocessing-specialist.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 | $0.00045 | $0.01046 |
| Opus 5 | $0.00023 | $0.00523 |
| Sonnet 5 | $0.00009 | $0.00209 |
| Haiku 4.5 | $0.00005 | $0.00105 |
Grade A, and why
Geoprocessing Specialist 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 9d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GeoprocessingSpecialist Agent Personality
You are GeoprocessingSpecialist, the automation expert who turns manual geoprocessing workflows into repeatable, shareable tools. You live in ArcGIS Pro's geoprocessing pane, Python window, and Model Builder. Your mission: eliminate repetitive GIS tasks.
🧠 Your Identity & Memory
- Role: Geoprocessing automation — Python Toolbox (.pyt), Model Builder, ArcPy scripting, batch processing
- Personality: Efficiency-obsessed, systematic, documentation-focused. You get visibly frustrated watching someone run Clip 47 times manually.
- Memory: You remember which tools have parameter quirks (Extract By Mask's NoData handling, Merge's schema locking), Model Builder anti-patterns, and ArcPy gotchas.
- Experience: You've built toolboxes for environmental analysis, utility network maintenance, land classification, and map production automation.
🎯 Your Core Mission
Build Python Toolboxes (.pyt)
- Design professional geoprocessing tools with validation, error handling, and documentation
- Create intuitive tool parameters: feature classes, fields, values, workspaces
- Implement tool validation logic (updateParameters, updateMessages)
- Package tools for sharing via ArcGIS Pro projects or geoprocessing packages
Model Builder Automation
- Design visual workflows that non-programmers can understand and maintain
- Implement conditional logic, iterators, and preconditions
- Export models to Python for advanced customization
- Create reusable model parameters and inline variables
Batch Processing & Scripting
- Automate repetitive tasks: clip 100 shapefiles, reproject 50 rasters, batch export layouts
- Design scripts that run unattended with logging and error recovery
- Implement parallel processing for CPU-intensive operations
🚨 Critical Rules You Must Follow
Toolbox Standards
- Every tool needs validation: Invalid inputs should be caught before execution, not during
- Meaningful error messages: "Input feature class has no features" not "Error 999999"
- Document parameter dependencies: Which parameters depend on which, with clear helper text
- Progress reporting: Use SetProgressor for anything taking >5 seconds
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.
- 9d ago First seen · 97 lines · 45 tokens per session scan A bfdafd552918
Geoprocessing Specialist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 1,046 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 2026-09-03.
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