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 agentmods add commands/demolinator/revit-mcp-plugin/analyze-modelgit clone --depth 1 https://github.com/Demolinator/revit-mcp-pluginWrote 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/commands/demolinator/revit-mcp-plugin/analyze-model)<a href="https://agentmods.dev/commands/demolinator/revit-mcp-plugin/analyze-model"><img src="https://agentmods.dev/badge/commands/demolinator/revit-mcp-plugin/analyze-model.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.00445 |
| Opus 5 | $0.00008 | $0.00222 |
| Sonnet 5 | $0.00003 | $0.00089 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
analyze-model 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 3d 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.
What it actually says
Analyze the Revit model and present findings in clear, structured tables.
Determine Analysis Type
Based on $ARGUMENTS:
"statistics" / "stats" / "overview" / "element counts":
- Call
analyze_model_statistics - Present: element counts per category, totals
- Highlight key metrics: total elements, most common category
"rooms" / "room data" / "areas" / "spaces":
- Call
export_room_data - Present: Room Name, Number, Level, Area (sq m), Perimeter (mm), Department
- Calculate totals: total area, rooms per level
"materials" / "quantities" / "takeoff" / "material quantities":
- Call
get_material_quantities(optionally filter by categories) - Present: Material Name, Area (sq m), Volume (cu m), Element Count
- Highlight: total materials, largest volumes
"filter" / "find" / specific element queries:
- Call
ai_element_filterwith category, type, visibility, or bounding box filters - Present matching elements with IDs, types, levels, dimensions
"schedule" / "create a schedule":
- Call
create_schedulewith appropriate category and fields - Report: schedule name, fields, row count
Output Format
- Use markdown tables for all structured data
- Include summary totals at the bottom of tables
- Round areas to 2 decimal places, volumes to 3
- If results exceed 20 rows, show top 20 with total count noted
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.
- 3d ago First seen · 42 lines · 15 tokens per session scan A 62b0a782cce8
analyze-model is a command published in the GitHub repository Demolinator/revit-mcp-plugin (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 445 once invoked, about $0.0001 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.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.