REVIT_MCP_study: Skill for Codex

.agents/skills/quantity-takeoff-excel/SKILL.md

quantity-takeoff-excel is a skill for Codex from shuotao/REVIT_MCP_study. It costs 108 tokens per session (1,308 once invoked), scanned A, original, no licence file.

A Revit quantity-takeoff workflow for creating or reviewing Excel reports on walls, baseboards, finishes, rooms, and scaffolding. Revit is software used to create building information models.

In plain words
What is it for?
Use it to prepare or audit construction quantity reports for partition walls, baseboards, interior finishes, room schedules, and scaffolding.
Why use it?
It helps turn model measurements into reports that can be checked and traced, including room perimeters, wall openings, and usable wall height.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is shuotao/REVIT_MCP_study's own configuration. It tells Codex how to work on REVIT_MCP_study itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything REVIT_MCP_study configures →

Reuse

Borrowing it

Nothing to install: this file belongs to shuotao/REVIT_MCP_study. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/shuotao/REVIT_MCP_study/main/.agents/skills/quantity-takeoff-excel/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/shuotao/REVIT_MCP_study

Made for: Codex.

Wrote 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.

agentmods badge for quantity-takeoff-excel

README.md
[![agentmods](https://agentmods.dev/badge/skills/shuotao/revit_mcp_study/quantity-takeoff-excel/github.svg)](https://agentmods.dev/skills/shuotao/revit_mcp_study/quantity-takeoff-excel)
Your own site
<a href="https://agentmods.dev/skills/shuotao/revit_mcp_study/quantity-takeoff-excel"><img src="https://agentmods.dev/badge/skills/shuotao/revit_mcp_study/quantity-takeoff-excel/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.

agentmods 80×15 button for quantity-takeoff-excel

Your own site · 80×15
<a href="https://agentmods.dev/skills/shuotao/revit_mcp_study/quantity-takeoff-excel"><img src="https://agentmods.dev/badge/skills/shuotao/revit_mcp_study/quantity-takeoff-excel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,308 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00108 $0.01308
Opus 5 $0.00054 $0.00654
Sonnet 5 $0.00022 $0.00262
Haiku 4.5 $0.00011 $0.00131

Measured 9d ago against content hash 0bd186d18a3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

quantity-takeoff-excel 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.

.agents/skills/quantity-takeoff-excel/SKILL.md · 109 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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.

Changes

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.

  1. 9d ago First seen · 109 lines · 108 tokens per session scan A 0bd186d18a3f

Subscribe to this mod's changes

quantity-takeoff-excel is a skill published in the GitHub repository shuotao/REVIT_MCP_study (102 stars, last pushed 9d ago), with no licence file. It adds 108 tokens to every session and 1,308 once invoked, about $0.0005 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.