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-artclaw-highlightgit 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-artclaw-highlight)<a href="https://agentmods.dev/skills/ivanyangyangxi/artclaw_bridge/ue57-artclaw-highlight"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/ue57-artclaw-highlight/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-artclaw-highlight"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/ue57-artclaw-highlight.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 | $0.00099 | $0.00979 |
| Opus 5 | $0.00049 | $0.00490 |
| Sonnet 5 | $0.00020 | $0.00196 |
| Haiku 4.5 | $0.00010 | $0.00098 |
Grade A, and why
ue57-artclaw-highlight 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ArtClaw Actor 高亮与定位
在 UE 编辑器中高亮、选中、聚焦指定 Actor,快速定位场景中的对象。
覆盖原 MCP 工具:
highlight_actors(仅 UE)⚠️ 仅适用于 Unreal Engine — Maya/Max 没有等效的视口高亮 API
调用方式
通过 MCP 工具 run_ue_python 执行 Python 代码实现 Actor 的选中与聚焦。
基础操作
按名称查找并选中 Actor
import unreal
target_name = "BP_Enemy_01"
all_actors = unreal.EditorLevelLibrary.get_all_level_actors()
found = [a for a in all_actors if a.get_name() == target_name]
if found:
unreal.EditorLevelLibrary.set_selected_level_actors(found)
print(f"已选中: {target_name}")
else:
print(f"未找到: {target_name}")
选中并聚焦(视口飞向目标)
import unreal
target_name = "BP_Enemy_01"
all_actors = unreal.EditorLevelLibrary.get_all_level_actors()
found = [a for a in all_actors if a.get_name() == target_name]
if found:
actor = found[0]
# 选中
unreal.EditorLevelLibrary.set_selected_level_actors([actor])
# 聚焦视口到该 Actor(等效于编辑器中按 F 键)
unreal.EditorLevelUtils.pilot_level_actor(actor)
print(f"已聚焦到: {target_name}")
模糊搜索并高亮
import unreal
keyword = "Enemy"
all_actors = unreal.EditorLevelLibrary.get_all_level_actors()
matched = [a for a in all_actors if keyword.lower() in a.get_name().lower()]
if matched:
unreal.EditorLevelLibrary.set_selected_level_actors(matched)
print(f"找到并选中 {len(matched)} 个包含 '{keyword}' 的 Actor:")
for a in matched:
print(f" - {a.get_name()}")
else:
print(f"未找到包含 '{keyword}' 的 Actor")
高级操作
按类型查找并高亮
import unreal
# 选中所有 StaticMeshActor
all_actors = unreal.EditorLevelLibrary.get_all_level_actors()
static_meshes = [a for a in all_actors if a.get_class().get_name() == "StaticMeshActor"]
unreal.EditorLevelLibrary.set_selected_level_actors(static_meshes)
print(f"已选中 {len(static_meshes)} 个 StaticMeshActor")
按标签查找
import unreal
tag = "Interactive"
all_actors = unreal.EditorLevelLibrary.get_all_level_actors()
tagged = [a for a in all_actors if tag in [str(t) for t in a.tags]]
if tagged:
unreal.EditorLevelLibrary.set_selected_level_actors(tagged)
print(f"已选中 {len(tagged)} 个带有 '{tag}' 标签的 Actor")
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 · 131 lines · 99 tokens per session scan A 57b9986e79f3
ue57-artclaw-highlight is a skill published in the GitHub repository IvanYangYangXi/artclaw_bridge (35 stars, last pushed 4mo ago), licensed MIT. It adds 99 tokens to every session and 979 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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