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 Utopia5327/claude-plugin-for-revit-bim --skill analyze-roomsgit clone --depth 1 https://github.com/Utopia5327/claude-plugin-for-revit-bimWrote 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/utopia5327/claude-plugin-for-revit-bim/analyze-rooms)<a href="https://agentmods.dev/skills/utopia5327/claude-plugin-for-revit-bim/analyze-rooms"><img src="https://agentmods.dev/badge/skills/utopia5327/claude-plugin-for-revit-bim/analyze-rooms/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/utopia5327/claude-plugin-for-revit-bim/analyze-rooms"><img src="https://agentmods.dev/badge/skills/utopia5327/claude-plugin-for-revit-bim/analyze-rooms.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 | $0.00153 | $0.01316 |
| Opus 5 | $0.00077 | $0.00658 |
| Sonnet 5 | $0.00031 | $0.00263 |
| Haiku 4.5 | $0.00015 | $0.00132 |
Grade A, and why
analyze-rooms scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Revit Rooms & Spaces
Perform room/space analysis for:
"$ARGUMENTS"
Room data extraction script
Read-only — no model modifications.
import clr
clr.AddReference('RevitServices')
from RevitServices.Persistence import DocumentManager
clr.AddReference('RevitAPI')
from Autodesk.Revit.DB import *
doc = DocumentManager.Instance.CurrentDBDocument
# Unit conversion constants
SQ_FT_TO_SQ_M = 0.092903 # Revit stores area in square feet internally
CUBIC_FT_TO_M3 = 0.0283168
FT_TO_M = 0.3048
try:
# Collect all placed rooms
rooms = (FilteredElementCollector(doc)
.OfCategory(BuiltInCategory.OST_Rooms)
.WhereElementIsNotElementType()
.ToElements())
room_data = []
unplaced = []
for room in rooms:
area_sqft = room.Area
if area_sqft <= 0:
# Unplaced or unbounded room — flag it
unplaced.append({
'Id': room.Id.IntegerValue,
'Number': room.Number,
'Name': room.get_Parameter(BuiltInParameter.ROOM_NAME).AsString() or '',
'Issue': 'Unplaced or Unbounded'
})
continue
# Pull all useful fields
dept_param = room.get_Parameter(BuiltInParameter.ROOM_DEPARTMENT)
phase_param = room.get_Parameter(BuiltInParameter.ROOM_PHASE)
data = {
'Room Number': room.Number,
'Room Name': room.get_Parameter(BuiltInParameter.ROOM_NAME).AsString() or '',
'Department': dept_param.AsString() if dept_param else '',
'Level': room.Level.Name if room.Level else 'N/A',
'Area (m2)': round(area_sqft * SQ_FT_TO_SQ_M, 2),
'Area (ft2)': round(area_sqft, 2),
'Volume (m3)': round(room.Volume * CUBIC_FT_TO_M3, 2),
'Perimeter (m)': round(room.Perimeter * FT_TO_M, 2),
'Phase': phase_param.AsValueString() if phase_param else '',
'Element Id': room.Id.IntegerValue,
}
room_data.append(data)
# Sort by level, then room number
room_data.sort(key=lambda x: (x['Level'], x['Room Number']))
# Calculate totals
gia_m2 = sum(r['Area (m2)'] for r in room_data)
OUT = [
room_data, # full data table
unplaced, # rooms to fix
round(gia_m2, 2), # total GIA in m²
len(room_data), # placed room count
len(unplaced), # unplaced count
]
except Exception as e:
import traceback
OUT = 'ERROR: ' + str(e) + '\n' + traceback.format_exc()
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.
- 11d ago First seen · 154 lines · 153 tokens per session scan A ec409c554029
analyze-rooms is a skill published in the GitHub repository Utopia5327/claude-plugin-for-revit-bim (6 stars, last pushed 6mo ago), licensed MIT. It adds 153 tokens to every session and 1,316 once invoked, about $0.0008 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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