技能 layer
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layer

内容修订 r1 安全 ⚙️ 外部命令🌐 网络访问

Generate Game Assets with Layer MCP

Creative teams need to coordinate models, reference files, and costs across asset generation tasks. This skill guides Layer MCP requests from workspace selection to completed assets and style warnings.

支持: Claude Codex Code(CC)
🥉 77 青铜

使用我的智能体安装

将此请求复制给你的智能体,其中包含权威 Skill 页面和清单。

智能体请求
Review the Skillstore skill "layer" from https://skillstore.io/skills/layerai-layer.md and its manifest at https://skillstore.io/api/skills/layerai-layer/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

你的智能体仍应展示其计划,并按安全策略请求必要确认。

Agent 可读资源

当 AI Agent、爬虫或脚本需要干净上下文,而不是读取完整页面时,请使用这些链接。

测试它

正在使用“layer”。 Explain the cost decision in the documented four-sprite example.

预期结果:

  • The example estimates four variations at 7 CUs against a balance of 900 CUs.
  • This single run is below the 20 CU confirmation threshold.
  • Four distinct sprite prompts require separate runs and approval of the planned sequence cost.

正在使用“layer”。 A trained style did not apply, but the generation completed. Explain the result.

预期结果:

  • The generation completed, but the requested trained style did not apply.
  • The run still consumes Creative Units.
  • Report the affected style and the returned warning before presenting the assets.

正在使用“layer”。 A model identifier returns MODEL_NOT_FOUND. What should happen next?

预期结果:

  • Discover available models again in the selected workspace.
  • Check the replacement model requirements and obtain a new price estimate before execution.
  • Do not reuse or guess the unavailable identifier.

安全审计

安全
v1 • 2026/10/11 打开版本化报告

All 71 static findings are false positives: Markdown formatting, expected Layer service access, and unrelated prose matched execution or reconnaissance patterns. No evidence found of prompt injection, credential theft, or unauthorized data transfer in SKILL.md. Actual use requires authenticated external services, reference uploads when requested, and paid generation with documented spending confirmations.

1
已扫描文件
153
分析行数
0
复核项
0
已忽略误报
最新一次完成的静态与语义审计未检测到已确认的安全发现。这并不能证明该 Skill 没有副作用。
审计者: codex
分享与引用此报告

分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据,不判断该 Skill 是否安全。

打开版本化报告
安全评估

复制报告链接

https://skillstore.io/skills/layerai-layer/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 徽章

[![Skillstore security assessment](https://skillstore.io/badges/skills/layerai-layer/security.svg)](https://skillstore.io/skills/layerai-layer?utm_source=security_passport_badge)

HTML 徽章

<a href="https://skillstore.io/skills/layerai-layer?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/layerai-layer/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

嵌入卡片

<iframe src="https://skillstore.io/embed/skills/layerai-layer.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>
学术引用 (APA · BibTeX · CFF)

APA 引用

layerai. (2026). layer security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/layerai-layer/audits/1

BibTeX 引用

@techreport{layerai-layerai-layer-2026, author = {layerai}, title = {layer security audit report (audit version 1)}, institution = {Skillstore}, year = {2026}, number = {1}, url = {https://skillstore.io/skills/layerai-layer/audits/1}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "layer security audit report (audit version 1)" version: "unspecified" type: report authors: - name: "layerai" date-released: "2026-10-11" url: "https://skillstore.io/skills/layerai-layer/audits/1" identifiers: - type: other value: "skillstore:layerai-layer:audit:1" description: "Skillstore immutable audit report identifier"

Skillstore 评分

评分依据 证据置信度: 中
55
架构
85
可维护性
87
内容
65
社区
83
规范符合性

你能构建什么

Produce Sprite Variations

Create variations of a building sprite prompt after selecting a suitable model and reviewing the estimated workspace cost.

Maintain a Trained Visual Style

Apply workspace reference sets across asset requests and identify any styles that fail to apply.

Coordinate Creative Production

Prepare reference files, estimate a sequence budget, and track image or video generation through completion.

试试这些提示

Discover a Suitable Model
In [workspace], find a model for [asset type] and check its requirements. Report available options without starting generation.
Generate a Costed Batch
Create four variations of [sprite prompt] in [workspace]. Estimate cost first, apply the spending gate, and return completed asset links.
Use References and Trained Styles
Use [reference file] and [trained style] in [workspace] for [asset]. Estimate first, report style warnings, and obtain required approval before execution.
Plan a Multi-Run Production Sequence
Plan separate runs for [asset list] in [workspace]. Present total estimated cost for approval, reuse file identifiers, and monitor results and style degradation.

最佳实践

  • Confirm the paying workspace, discover models for the task, and review their requirements before preparing a run.
  • Estimate every run and present planned sequence totals before obtaining required approval, even when negative balances are allowed.
  • Reuse generated file identifiers, follow returned polling intervals, and report reference style warnings accurately.

避免

  • Guessing model identifiers or filtering out suitable models with unnecessary capability settings.
  • Executing without an estimate or treating negative balance permission as approval to bypass spending confirmation.
  • Treating batch variations as distinct assets or reporting degraded reference styles as successfully applied.

常见问题

What must I connect before using this skill?
Connect your MCP client to the documented Layer endpoint, complete OAuth, and select an accessible workspace. Connection instructions are in a separate skill.
Which asset types does the guidance cover?
It covers model selection for images, video, 3D meshes, and audio. Specialized craft guidance refers to related skills.
When is spending confirmation required?
Single runs above 20 CUs require explicit approval. Planned sequences require presenting their total cost for agreement before starting.
Can one batch create several different assets?
A batch creates variations of one prompt, with sizes from 1 to 16. Distinct prompts require separate runs.
How are reference files provided?
Local files use signed upload URLs. Public files use the import tool, while completed assets reuse their existing file identifiers.
Does a completed run guarantee that my trained style applied?
No. Check degradation warnings during estimation, execution, and polling. A successful run can still omit the requested style and consume credits.

开发者详情

作者

layerai

许可证

MIT

Skillstore 修订

r1

版本提示

作者未声明版本。

引用

d4f0bfa8bc3ba02d68c38df2d1ed444e3fd84fc2

维护新鲜度

2026/10/11

使用量

0 次下载 · 0 次浏览

文件结构

📄 SKILL.md

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