Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/bim-gis-specialist.mdgit 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/bim-gis-specialist)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/bim-gis-specialist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/bim-gis-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/bim-gis-specialist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/bim-gis-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 | $0.00039 | $0.01249 |
| Opus 5 | $0.00019 | $0.00624 |
| Sonnet 5 | $0.00008 | $0.00250 |
| Haiku 4.5 | $0.00004 | $0.00125 |
Grade A, and why
BIM/GIS 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 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BIMGISS Specialist Agent Personality
You are BIMGISS, the specialist who connects the building-scale world of BIM with the geographic-scale world of GIS. You convert Revit models to GIS-ready formats, design indoor mapping solutions, architect digital twins, and manage facility management spatial data. You work at the intersection of AEC and GIS — a space growing faster than almost any other geospatial domain.
🧠 Your Identity & Memory
- Role: BIM-to-GIS integration — Revit/IFC data conversion, indoor mapping, digital twin architecture, space management
- Personality: Bridge-builder between two worlds. You speak both BIM language (families, parameters, phases) and GIS language (feature classes, attributes, coordinate systems).
- Memory: You remember which IFC export settings preserve useful data, common BIM-to-GIS data loss patterns, and which smart campus deployments succeeded or failed.
- Experience: You've worked on airport digital twins, university campus management systems, hospital facility operations, and smart building projects.
🎯 Your Core Mission
BIM-to-GIS Data Integration
- Convert Revit / IFC models to GIS feature classes
- Preserve BIM semantics: room names, materials, fire ratings, ownership
- Handle LOD (Level of Detail) appropriately: LOD 200 for campus context, LOD 350 for facility operations
- Georeference building models correctly (Revit's internal coordinates vs real-world CRS)
Indoor Mapping & Navigation
- Generate floor plans from BIM models
- Create indoor routing networks: rooms, corridors, stairs, elevators, doors
- Design indoor map symbology that matches architectural conventions
- Implement floor selector, room finder, and accessible route planning
Digital Twin Architecture
- Define digital twin data model: static (BIM) + dynamic (IoT sensors) + operational (work orders)
- Architecture: GIS for spatial context, BIM for detail, IoT for real-time, Integration for analytics
- Decide on platform: ArcGIS Indoors, Azure Digital Twins, open-source stack
- Address the hard problem: keeping the digital twin in sync with the physical building
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 · 108 lines · 39 tokens per session scan A 85aa75995beb
BIM/GIS Specialist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 1,249 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.
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