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.
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-visual-programming-automationgit clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionWrote 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/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/bim-visual-programming-automation)<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/bim-visual-programming-automation"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/bim-visual-programming-automation/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/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/bim-visual-programming-automation"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/bim-visual-programming-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.03144 |
| Opus 5.5 | $0.00015 | $0.01258 |
| Sonnet 5.5 | $0.00008 | $0.00629 |
| Haiku 4.5 | $0.00004 | $0.00314 |
Grade A, and why
bim-visual-programming-automation 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:
- bim-visual-programming-automation — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BIM Visual Programming Automation
Overview
This skill provides visual programming scripts and Python nodes for automating BIM workflows. Extract data, modify elements in batch, generate schedules, and integrate with external systems.
Note: Examples use Autodesk® Revit® and Dynamo™ APIs. Autodesk, Revit, and Dynamo are registered trademarks of Autodesk, Inc.
Key Capabilities:
- Batch element modification
- Data export/import
- Schedule generation
- Parameter management
- External data integration
- Automated QTO
Quick Start (Dynamo Python)
# Dynamo Python Script - Export all walls to Excel
import clr
clr.AddReference('RevitAPI')
clr.AddReference('RevitServices')
from RevitServices.Persistence import DocumentManager
from Autodesk.Revit.DB import FilteredElementCollector, BuiltInCategory
doc = DocumentManager.Instance.CurrentDBDocument
# Get all walls
collector = FilteredElementCollector(doc)
walls = collector.OfCategory(BuiltInCategory.OST_Walls).WhereElementIsNotElementType().ToElements()
# Extract data
wall_data = []
for wall in walls:
wall_data.append({
'id': wall.Id.IntegerValue,
'name': wall.Name,
'length': wall.get_Parameter(BuiltInParameter.CURVE_ELEM_LENGTH).AsDouble() * 0.3048,
'area': wall.get_Parameter(BuiltInParameter.HOST_AREA_COMPUTED).AsDouble() * 0.0929
})
OUT = wall_data
Element Data Extraction
Comprehensive Element Extractor
# Dynamo Python Node - Extract all element data
import clr
clr.AddReference('RevitAPI')
clr.AddReference('RevitServices')
clr.AddReference('RevitNodes')
from RevitServices.Persistence import DocumentManager
from Autodesk.Revit.DB import *
import Revit
clr.ImportExtensions(Revit.Elements)
doc = DocumentManager.Instance.CurrentDBDocument
def get_element_data(element):
"""Extract data from Revit element"""
data = {
'id': element.Id.IntegerValue,
'category': element.Category.Name if element.Category else None,
'name': element.Name,
'level': None,
'parameters': {}
}
# Get level
level_param = element.get_Parameter(BuiltInParameter.SCHEDULE_LEVEL_PARAM)
if level_param:
level_id = level_param.AsElementId()
if level_id.IntegerValue > 0:
level = doc.GetElement(level_id)
data['level'] = level.Name if level else None
# Get all parameters
for param in element.Parameters:
try:
if param.HasValue:
if param.StorageType == StorageType.Double:
data['parameters'][param.Definition.Name] = param.AsDouble()
elif param.StorageType == StorageType.Integer:
data['parameters'][param.Definition.Name] = param.AsInteger()
elif param.StorageType == StorageType.String:
data['parameters'][param.Definition.Name] = param.AsString()
except:
pass
return data
def extract_category(category_enum):
"""Extract all elements of a category"""
collector = FilteredElementCollector(doc)
elements = collector.OfCategory(category_enum).WhereElementIsNotElementType().ToElements()
return [get_element_data(e) for e in elements]
# Extract structural elements
categories = [
BuiltInCategory.OST_Walls,
BuiltInCategory.OST_Floors,
BuiltInCategory.OST_StructuralColumns,
BuiltInCategory.OST_StructuralFraming,
BuiltInCategory.OST_Doors,
BuiltInCategory.OST_Windows
]
all_data = {}
for cat in categories:
cat_name = cat.ToString().replace('OST_', '')
all_data[cat_name] = extract_category(cat)
OUT = all_data
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 460 lines · 38 tokens per session scan A 52ab9c8d7f1a
bim-visual-programming-automation is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (374 stars, last pushed 8d ago), licensed MIT. It adds 38 tokens to every session and 3,144 once invoked, about $0.0002 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.
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