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 IvanYangYangXi/artclaw_bridge --skill ue57_material_node_editgit clone --depth 1 https://github.com/IvanYangYangXi/artclaw_bridgeWrote 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/ivanyangyangxi/artclaw_bridge/ue57_material_node_edit)<a href="https://agentmods.dev/skills/ivanyangyangxi/artclaw_bridge/ue57_material_node_edit"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/ue57_material_node_edit/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/ivanyangyangxi/artclaw_bridge/ue57_material_node_edit"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/ue57_material_node_edit.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 | $0.00182 | $0.02203 |
| Opus 5 | $0.00091 | $0.01102 |
| Sonnet 5 | $0.00036 | $0.00441 |
| Haiku 4.5 | $0.00018 | $0.00220 |
Grade A, and why
artclaw-material 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.
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ArtClaw Material — 材质节点图操作接口
Official ArtClaw skill providing atomic tools for Material node graph manipulation.
All tools are registered via @ue_tool and exposed through MCP.
Architecture
AI (OpenClaw) ──MCP──▶ Skill Hub ──▶ material_node_ops.py (this skill)
──▶ material_ops.py (existing: instance params, actor materials)
──▶ get_material_nodes (existing: read node graph)
This skill handles: node graph write operations (create, delete, connect, edit nodes).
Existing tools handle: reading node graphs (get_material_nodes), material instance parameters (get_material_parameters, create_material_instance), actor material assignment (get_actor_materials, set_actor_material).
Tools Summary
| Tool | Risk | Description |
|---|---|---|
create_material |
medium | Create new empty Material asset |
create_material_expression |
medium | Add expression node to graph |
delete_material_expression |
high | Remove expression node |
connect_material_expressions |
medium | Connect two expression nodes |
connect_material_property |
medium | Connect node to material property input |
set_expression_property |
medium | Set node editor property |
set_expression_position |
low | Move node in graph |
set_material_properties |
medium | Set BlendMode, ShadingModel, etc. |
list_material_expressions |
low | List all nodes (flat, no connections) |
recompile_material |
medium | Recompile + validate + save after edits |
✅ 核心工作流:先写伪代码,再创建节点
📋 通用节点图工作流(伪代码→映射→分组创建→验证→布局)见
dcc-node-graph-workflowskill。 本 skill 专注 UE 材质的 API 细节、节点类名和属性速查。
UE 材质图是纯数据流节点图,伪代码示例:
# 伪代码
base_color = tex_diffuse * tint_color
roughness = lerp(0.2, 0.9, tex_roughness.r)
metallic = param_metallic
# 节点映射
TextureSampleParameter2D → tex_diffuse / tex_roughness
Constant3Vector → tint_color
Multiply → base_color = tex * tint
ComponentMask(R) → .r channel
Lerp → roughness
ScalarParameter → metallic
What ships with it
5 files 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.
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.
- 9d ago First seen · 185 lines · 182 tokens per session scan A aeeee99246cb
artclaw-material is a skill published in the GitHub repository IvanYangYangXi/artclaw_bridge (35 stars, last pushed 4mo ago), licensed MIT. It adds 182 tokens to every session and 2,203 once invoked, about $0.0009 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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