dcc-node-graph-workflow

dcc-node-graph-workflow is a skill for Claude Code, Codex from IvanYangYangXi/artclaw_bridge. It costs 109 tokens per session (2,113 once invoked), scanned A, original, MIT.

A general method for planning and building node graphs in Unreal Engine Blueprints, Substance Designer materials, and Unreal materials.

In plain words
What is it for?
Use it to plan complex graph work, map logic to nodes, connect nodes, set properties, and verify or compile the result.
Why use it?
It helps turn program logic into an ordered node graph before implementation, reducing mistakes in node selection and connections.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan complex graph work, map logic to nodes, connect nodes, set properties, and verify or compile the result.

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Install with agentmods
npx agentmods add skills/ivanyangyangxi/artclaw_bridge/dcc-node-graph-workflow
Install

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.

Any agent
npx skills add IvanYangYangXi/artclaw_bridge --skill dcc-node-graph-workflow
Clone the repo
git clone --depth 1 https://github.com/IvanYangYangXi/artclaw_bridge

Made for: Claude Code, 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 dcc-node-graph-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/dcc-node-graph-workflow/github.svg)](https://agentmods.dev/skills/ivanyangyangxi/artclaw_bridge/dcc-node-graph-workflow)
Your own site
<a href="https://agentmods.dev/skills/ivanyangyangxi/artclaw_bridge/dcc-node-graph-workflow"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/dcc-node-graph-workflow/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 dcc-node-graph-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanyangyangxi/artclaw_bridge/dcc-node-graph-workflow"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/dcc-node-graph-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,113 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 original 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 $0.00109 $0.02113
Opus 5 $0.00055 $0.01056
Sonnet 5 $0.00022 $0.00423
Haiku 4.5 $0.00011 $0.00211

Measured 9d ago against content hash ee546cc331c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dcc-node-graph-workflow 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.

skills/official/universal/dcc-node-graph-workflow/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DCC 节点图通用工作流

三类 DCC 的节点图本质相同:有向数据流 + 执行流(蓝图独有)。 工作方式完全对应,统一用以下流程处理。


核心原则

对节点图的理解要和对代码的理解一样严谨。 AI 对代码逻辑(循环、条件、数据变换)的理解远强于对节点位置/引脚名的感知。 先用代码表达逻辑,再翻译成节点——出错概率大幅降低。


三类 DCC 对照表

概念 UE 蓝图 SD 材质 UE 材质
节点图 EdGraph SDGraph MaterialGraph
节点创建 add_graph_node graph.newNode create_material_expression
节点连接 connect_graph_pins newPropertyConnectionFromId connect_material_expressions
引脚/端口查询 query_blueprint_graph(node_guid) getProperties(SDPropertyCategory.Input) list_material_expressions
属性设置 set_node_property setInputPropertyValueFromId set_expression_property
编译/验证 compile_blueprint → 详细错误 save_preview → 截图分析 recompile_material → 指令数
执行流 Exec 引脚(then/execute) 无(纯数据流) 无(纯数据流)

标准流程(5步)

Step 1:写伪代码

用 Python/C++ 风格写出完整逻辑。不考虑节点,只考虑逻辑。

# UE 蓝图伪代码示例
for i in range(SegmentCount):
    startDist = (i / SegmentCount) * splineLength
    endDist   = ((i + 1) / SegmentCount) * splineLength
    smc = AddComponent(SplineMeshComponent)
    smc.mesh = Mesh
    if bCanBend:
        startTan = GetTangentAtDist(startDist)
        endTan   = GetTangentAtDist(endDist)
    else:
        startTan = endTan = endPos - startPos
    smc.SetStartAndEnd(startPos, startTan, endPos, endTan)

# SD 材质伪代码示例
weave   = mesh_1(tiling=20) + rotate(90°)
warped  = warp(weave, perlin_noise(scale=4), intensity=0.05)
color   = gradient_map(warped, colors=[(0.0, dark), (0.5, mid), (1.0, light)])
output_baseColor(color)
output_height(weave)

# UE 材质伪代码示例
base_color = tex_diffuse * tint_color
roughness  = lerp(0.2, 0.9, tex_roughness.r)
metallic   = param_metallic
normal     = tex_normal

Step 2:映射节点

将伪代码每一行映射到对应的节点类型和函数名。

UE 蓝图:

for i in range(N)           → K2Node_MacroInstance(MacroName="ForLoop")
i / N → float               → K2Node_CallFunction(Divide_DoubleDouble)
AddComponent(T)             → K2Node_CallFunction(AddComponentByClass) + K2Node_DynamicCast
if bCanBend                 → K2Node_CallFunction(VLerp, Alpha=bCanBend as float)

Read the full file on GitHub · 187 lines

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 · 187 lines · 109 tokens per session scan A ee546cc331c8

Subscribe to this mod's changes

dcc-node-graph-workflow is a skill published in the GitHub repository IvanYangYangXi/artclaw_bridge (35 stars, last pushed 4mo ago), licensed MIT. It adds 109 tokens to every session and 2,113 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 2026-09-03.

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