Curate and Apply Layer Reference Sets
Inconsistent datasets and incompatible models can weaken a trained style while still consuming Creative Units. This skill guides curation, training choices, weight tuning, and contribution checks before generation.
将此请求复制给你的智能体，其中包含权威 Skill 页面和清单。
Review the Skillstore skill "layer-reference-sets" from https://skillstore.io/skills/layerai-layer-reference-sets.md and its manifest at https://skillstore.io/api/skills/layerai-layer-reference-sets/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。
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。
正在使用“layer-reference-sets”。 We have an approved character image and need six images this week. Should we train?
预期结果:
Use the approved character image as a reference first. Training is not the initial recommendation for this small, short project.
正在使用“layer-reference-sets”。 Our style collection contains twelve consistent pieces and eight pieces with different rendering. We will reuse it for months.
预期结果:
正在使用“layer-reference-sets”。 A trained style looks weak with a pinned model, and the estimate reports degradation. Should I raise the weight?
预期结果:
All 24 static findings are false positives: Markdown tool names, category labels, a user-requested installation example, and model-selection guidance. No evidence found of shell backtick execution, system reconnaissance, prompt injection, or unauthorized data transfer. The documented workflow uses Layer uploads and paid training or generation, with estimates and confirmation above 20 Creative Units.
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。
https://skillstore.io/skills/layerai-layer-reference-sets/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/layerai-layer-reference-sets?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/layerai-layer-reference-sets?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/layerai-layer-reference-sets/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/layerai-layer-reference-sets.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>layerai. (2026). layer-reference-sets security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/layerai-layer-reference-sets/audits/1@techreport{layerai-layerai-layer-reference-sets-2026,
author = {layerai},
title = {layer-reference-sets security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/layerai-layer-reference-sets/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "layer-reference-sets 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-reference-sets/audits/1"
identifiers:
- type: other
value: "skillstore:layerai-layer-reference-sets:audit:1"
description: "Skillstore immutable audit report identifier"
Select consistent artwork, choose the general category, and plan a reusable reference set for ongoing team generation.
Separate subjects into reference sets and vary poses, angles, and expressions while preserving each character design.
Review contribution warnings, model selection, and weight settings before spending on another generation.
I need [asset count] assets for [project duration] using [approved artwork]. Recommend a reference image or trained reference set, and explain the choice.
Review [supplied images] for [subject or style]. Recommend exclusions, useful variation, separate sets, and the appropriate training category. Do not upload anything yet.
Plan training for [approved dataset]. Estimate costs before paid actions and request confirmation above 20 Creative Units. Check contributions before generation and report missing tools.
Analyze [contribution report] and [run settings] for [reference sets]. Explain degradation, model compatibility, and weight effects. Recommend a revised estimate before any new spend.
作者
layerai许可证
MIT
Skillstore 修订
r1
版本提示
作者未声明版本。
引用
ee0fcd6d9de455c669ab56b791cc7ead7b94348e
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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