layer-reference-sets
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.
Mit meinem Agent installieren
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
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.Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.
Agent-lesbare Ressourcen
Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.
Testen
„layer-reference-sets“ wird verwendet. We have an approved character image and need six images this week. Should we train?
Erwartetes Ergebnis:
Use the approved character image as a reference first. Training is not the initial recommendation for this small, short project.
„layer-reference-sets“ wird verwendet. Our style collection contains twelve consistent pieces and eight pieces with different rendering. We will reuse it for months.
Erwartetes Ergebnis:
- Keep the twelve consistent pieces and exclude the eight with different rendering.
- Use the general category for an overall aesthetic rather than a single subject.
- Estimate training costs before starting and request confirmation above 20 Creative Units.
- Estimate generation with automatic model selection and inspect reference set contributions before spending.
„layer-reference-sets“ wird verwendet. A trained style looks weak with a pinned model, and the estimate reports degradation. Should I raise the weight?
Erwartetes Ergebnis:
- Check which reference set degraded and why.
- Remove the pinned model or choose a compatible model, then request a new estimate.
- Weight changes will not affect a set applied only as reference images or prompt text.
- Do not report the trained LoRA as applied when the contribution report indicates otherwise.
Sicherheitsaudit
SicherAll 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.
Risikofaktoren
⚙️ Externe Befehle (23)
Diesen Bericht teilen & zitieren
Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.
Berichtslink kopieren
https://skillstore.io/skills/layerai-layer-reference-sets/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown-Badge
[](https://skillstore.io/skills/layerai-layer-reference-sets?utm_source=security_passport_badge)HTML-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>Einbettungskarte
<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>Wissenschaftliche Zitate (APA · BibTeX · CFF)
APA-Zitat
layerai. (2026). layer-reference-sets security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/layerai-layer-reference-sets/audits/1BibTeX-Zitat
@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}
}CITATION.cff
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"
Skillstore-Score
Warum dieser Score Evidenzvertrauen: MittelWas Sie erstellen können
Maintain a studio style
Select consistent artwork, choose the general category, and plan a reusable reference set for ongoing team generation.
Build a character library
Separate subjects into reference sets and vary poses, angles, and expressions while preserving each character design.
Investigate weak style results
Review contribution warnings, model selection, and weight settings before spending on another generation.
Diese Prompts ausprobieren
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.
Bewährte Praktiken
- Curate consistent, clean artwork and vary only the attributes that should change.
- Match each set to one subject or style and select its training category deliberately.
- Inspect price estimates and contribution reports before spending, and confirm actions above 20 Creative Units.
Vermeiden
- Pad a dataset with inconsistent images or mix unrelated subjects into one reference set.
- Pin a model without checking reference set compatibility, then treat weak output as a weight problem.
- Treat weight as a binary setting or claim a degraded set applied successfully.