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 artclaw-knowledgegit 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/artclaw-knowledge)<a href="https://agentmods.dev/skills/ivanyangyangxi/artclaw_bridge/artclaw-knowledge"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/artclaw-knowledge/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/artclaw-knowledge"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/artclaw-knowledge.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 | $0.00079 | $0.00862 |
| Opus 5 | $0.00039 | $0.00431 |
| Sonnet 5 | $0.00016 | $0.00172 |
| Haiku 4.5 | $0.00008 | $0.00086 |
Grade A, and why
artclaw-knowledge 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 12d 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.
What it actually says
ArtClaw 知识库搜索
搜索 UE/Maya/Max API 文档、代码示例、命名规范等技术知识库,在写代码前先查正确用法。
覆盖原 MCP 工具:
knowledge_search
调用方式
通过 MCP 工具 run_ue_python(UE)或 run_python(Maya/Max)执行 Python 代码搜索知识库。
Python API
UE 环境
from knowledge_base import get_knowledge_base
kb = get_knowledge_base()
results = kb.search("如何创建动态材质实例", top_k=5)
for r in results:
print(f"[{r['score']:.2f}] {r['title']}")
print(f" 来源: {r['source']}")
print(f" 内容: {r['text'][:200]}")
print()
DCC 环境 (Maya/Max)
from core.knowledge_base import get_knowledge_base
kb = get_knowledge_base()
results = kb.search("如何批量设置关键帧", top_k=5)
for r in results:
print(f"[{r['score']:.2f}] {r['title']}")
print(f" 来源: {r['source']}")
print(f" 内容: {r['text'][:200]}")
print()
返回值格式
kb.search() 返回 list[dict],每个 dict 包含:
| 字段 | 类型 | 说明 |
|---|---|---|
title |
str | 文档标题 |
text |
str | 匹配的文档内容片段 |
source |
str | 来源(如 UE 官方文档、项目 Wiki 等) |
score |
float | 相关度评分(0.0 ~ 1.0,越高越相关) |
典型使用场景
查询 UE API 用法
from knowledge_base import get_knowledge_base
kb = get_knowledge_base()
# 查 Niagara 粒子系统 API
results = kb.search("Niagara particle system spawn emitter", top_k=3)
查询 Maya API 用法
from core.knowledge_base import get_knowledge_base
kb = get_knowledge_base()
# 查 Maya skinCluster 权重操作
results = kb.search("skinCluster set weights Python API", top_k=3)
查询命名规范
kb = get_knowledge_base()
results = kb.search("资产命名规范 naming convention", top_k=5)
查询代码示例
kb = get_knowledge_base()
results = kb.search("批量导入 FBX 示例代码", top_k=3)
使用建议
- 写复杂代码前先搜索: 在编写 UE/Maya Python 代码前,先用知识库确认正确的 API 用法,避免用错参数或调用已废弃的接口
- 混合语言搜索: 可以用中文描述需求 + 英文 API 关键词组合搜索,效果更好
- 调整 top_k: 简单查询用
top_k=3,复杂或模糊查询用top_k=5~10 - 检查 score: 低于 0.3 的结果相关性较低,可能需要换个关键词重新搜索
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.
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.
- 12d ago First seen · 117 lines · 79 tokens per session scan A 2f7917b2fe28
artclaw-knowledge is a skill published in the GitHub repository IvanYangYangXi/artclaw_bridge (35 stars, last pushed 4mo ago), licensed MIT. It adds 79 tokens to every session and 862 once invoked, about $0.0004 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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