Agent skill

Batch Material

by shuotao in shuotao/REVIT_MCP_study

批次材質修改(複製原材質模式):為每個 Type 的原材質建立複本,只修改複本的 Appearance diffuse color,保留 Graphics 顏色與其他屬性。適用於渲染白模(Enscape/V-Ray 看到白色,平面圖切割圖案維持原材質)。也支援復原(assignexistingmaterial)。觸發條件:使用者提到材質、material、白色模型、white…

No licenceAuto-check passed

Install Batch Material

skills CLI
$ npx skills add shuotao/REVIT_MCP_study --skill batch-material -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install shuotao/REVIT_MCP_study batch-material --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/shuotao/REVIT_MCP_study.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/batch-material .claude/skills/batch-material && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
batch-material
GitHub stars
102
Token cost
~497 tokens
SKILL.md length
123 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
None found

At a glance

批次材質修改(複製原材質模式):為每個 Type 的原材質建立複本,只修改複本的 Appearance diffuse color,保留 Graphics 顏色與其他屬性。適用於渲染白模(Enscape/V-Ray 看到白色,平面圖切割圖案維持原材質)。也支援復原(assignexistingmaterial)。觸發條件:使用者提到材質、material、白色模型、white…

  • SKILL.md covers 核心設計:複製原材質模式, Prerequisites, Workflow and 注意事項
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Batch Material is an agent skill from shuotao/REVIT_MCP_study. 批次材質修改(複製原材質模式):為每個 Type 的原材質建立複本,只修改複本的 Appearance diffuse color,保留 Graphics 顏色與其他屬性。適用於渲染白模(Enscape/V-Ray 看到白色,平面圖切割圖案維持原材質)。也支援復原(assignexistingmaterial)。觸發條件:使用者提到材質、material、白色模型、white model、渲染、render、批次換材質、統一材質、復原材質、restore material。工具:gettypesbycategory、batchsetmaterial、assignexistingmaterial。

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Model Context Protocol. The repository describes itself as: LEARN HOW TO BUILD UP YOUR REVIT MCP.

Example prompts

  • “/batch-material”

What it can do on your machine

Read from SKILL.md and the folder at commit 2faacc5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Batch Material loads about 497 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 123 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~497

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 123 words (~497 tokens).

name
batch-material

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/batch-material of shuotao/REVIT_MCP_study.

Open the folder on GitHubat commit 2faacc5

Compare with similar skills

Batch Material next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Batch Material compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Batch Material this skillshuotao/REVIT_MCP_study102—~497Automated safety check: PassNone
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.4k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Questions about Batch Material

What does Batch Material do?

批次材質修改(複製原材質模式):為每個 Type 的原材質建立複本,只修改複本的 Appearance diffuse color,保留 Graphics 顏色與其他屬性。適用於渲染白模(Enscape/V-Ray 看到白色,平面圖切割圖案維持原材質)。也支援復原(assignexistingmaterial)。觸發條件:使用者提到材質、material、白色模型、white…. Batch Material is an agent skill from shuotao/REVIT_MCP_study.

How do I install Batch Material in Claude Code?

Run `npx skills add shuotao/REVIT_MCP_study --skill batch-material -a claude-code`. Or copy the skill folder (.claude/skills/batch-material in shuotao/REVIT_MCP_study) into .claude/skills/batch-material in your project. Claude Code loads it when a task matches its description.

How do I install Batch Material in Codex?

Run `npx skills add shuotao/REVIT_MCP_study --skill batch-material -a codex`. Or copy the skill folder (.claude/skills/batch-material in shuotao/REVIT_MCP_study) into .agents/skills/batch-material in your project. Codex loads it when a task matches its description.

Can I use Batch Material in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add shuotao/REVIT_MCP_study --skill batch-material -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/batch-material, .gemini/skills/batch-material, .github/skills/batch-material and .opencode/skills/batch-material in your project.

What does Batch Material need to run?

SKILL.md names no scripts, command-line tools or credentials: Batch Material is instructions for the agent only.

Does Batch Material access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Batch Material safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Batch Material use?

No licence was found for Batch Material or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Batch Material use?

About 497 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Batch Material?

Skills that share tags, products or a category with Batch Material: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Batch Material?

shuotao (a GitHub user) maintains it in shuotao/REVIT_MCP_study, which has 102 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on August 31, 2026.

Source: shuotao/REVIT_MCP_study on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.