sd-context

sd-context is a skill for Claude Code, Codex from IvanYangYangXi/artclaw_bridge. It costs 62 tokens per session (1,836 once invoked), scanned A, original, MIT.

A read-only guide for inspecting the current Substance Designer workspace. It covers package information, graph lists, node networks, node connections, and node parameters.

In plain words
What is it for?
Use it to list user packages, find graphs, inspect nodes and connections, check parameter values, and review the current Substance Designer context.
Why use it?
It lets you understand the existing project before making changes, without modifying anything. It also points out which built-in objects and values are available for safe inspection through Python.

Skill for Claude CodeCodex

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

Good fit Use it to list user packages, find graphs, inspect nodes and connections, check parameter values, and review the current Substance Designer context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivanyangyangxi/artclaw_bridge/sd-context
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 sd-context
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 sd-context

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanyangyangxi/artclaw_bridge/sd-context"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/sd-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,836 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 $0.00062 $0.01836
Opus 5 $0.00031 $0.00918
Sonnet 5 $0.00012 $0.00367
Haiku 4.5 $0.00006 $0.00184

Measured 10d ago against content hash 8a4e70f35891, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

sd-context 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 10d 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/substance_designer/sd-context/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SD 编辑器上下文查询

查询 Substance Designer 当前状态:包、图、节点、参数、连接关系。 所有操作为只读,不修改任何内容。


前置条件

run_python 已预注入以下变量,直接使用,无需 import

  • sd, app, graph, S, W, L
  • SDPropertyCategory, float2, float3, float4, ColorRGBA
  • SDValueFloat, SDValueInt, SDValueBool, SDValueString
# ✅ 直接使用预注入变量
pkg_mgr = app.getPackageMgr()
ui_mgr = app.getUIMgr()

# ❌ 禁止在 exec 中 import sd.api 子模块(会超时死锁)
# from sd.api.sdapplication import SDApplication  # 禁止!
# from sd.api.sdproperty import SDPropertyCategory  # 禁止!

1. 获取用户包列表

列出当前加载的所有用户包(排除系统/库包):

pkg_mgr = app.getPackageMgr()

user_packages = pkg_mgr.getUserPackages()
result = []
for pkg in user_packages:
    file_path = pkg.getFilePath()
    pkg_id = pkg.getIdentifier() if hasattr(pkg, 'getIdentifier') else "N/A"
    resources = pkg.getChildrenResources(False)
    graph_count = len(resources) if resources else 0
    result.append({
        "identifier": pkg_id,
        "file_path": file_path,
        "graph_count": graph_count
    })
    print(f"包: {pkg_id} | 路径: {file_path} | 图数量: {graph_count}")

if not result:
    print("没有加载的用户包")

2. 获取包内图列表

列出指定包的所有子图(Substance Graph):

pkg_mgr = app.getPackageMgr()

# 获取第一个用户包
user_packages = pkg_mgr.getUserPackages()
if not user_packages:
    print("没有加载的用户包")
else:
    pkg = user_packages[0]
    resources = pkg.getChildrenResources(False)
    for res in resources:
        res_id = res.getIdentifier()
        res_type = type(res).__name__
        print(f"资源: {res_id} | 类型: {res_type}")

3. 获取当前图信息

if graph is None:
    print("没有打开的图")
else:
    graph_id = graph.getIdentifier()
    nodes = graph.getNodes()
    node_count = nodes.getSize() if nodes else 0
    
    # 获取图的输出定义
    outputs = graph.getProperties(SDPropertyCategory.Output)
    output_count = len(outputs) if outputs else 0
    
    print(f"当前图: {graph_id}")
    print(f"节点数量: {node_count}")
    print(f"输出数量: {output_count}")

Read the full file on GitHub · 261 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. 10d ago First seen · 261 lines · 62 tokens per session scan A 8a4e70f35891

Subscribe to this mod's changes

sd-context is a skill published in the GitHub repository IvanYangYangXi/artclaw_bridge (35 stars, last pushed 4mo ago), licensed MIT. It adds 62 tokens to every session and 1,836 once invoked, about $0.0003 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.

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