Find Visual Styles from Mood Descriptions
Vague mood descriptions make visual direction difficult to communicate. Feeling Search uses a cached lexicon to suggest named styles and matching vocabulary, with optional paid cloud analysis.
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
Review the Skillstore skill "feeling-search" from https://skillstore.io/skills/xixi048-feeling-search.md and its manifest at https://skillstore.io/api/skills/xixi048-feeling-search/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.
Utilisation de « feeling-search ». Match the mood: walking alone past a convenience store in the rain under cold white light.
Résultat attendu:
Utilisation de « feeling-search ». Explain the word cold light using the free lookup endpoint.
Résultat attendu:
Utilisation de « feeling-search ». Analyze a description with no local matches, without approving cloud analysis.
Résultat attendu:
Most static alerts are false positives from Markdown backticks, multilingual documentation, normal cache operations, and documented API access. Quota tokens lack explicit restrictive file permissions, appear in request URLs, and lack transport origin protections. No evidence found of malicious exfiltration intent, prompt injection, hidden command execution, or code obfuscation.
Il s’agit de capacités locales réelles qui peuvent être attendues pour cette compétence ; elles nécessitent donc un examen, mais ne sont pas comptabilisées comme comportement malveillant confirmé.
Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.
https://skillstore.io/skills/xixi048-feeling-search/audits/3?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/xixi048-feeling-search?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/xixi048-feeling-search?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/xixi048-feeling-search/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/xixi048-feeling-search.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>xixi048. (2026). feeling-search security audit report (audit version 3) [Author version 1.1.0]. Skillstore. https://skillstore.io/skills/xixi048-feeling-search/audits/3@techreport{xixi048-xixi048-feeling-search-2026,
author = {xixi048},
title = {feeling-search security audit report (audit version 3)},
institution = {Skillstore},
year = {2026},
number = {3},
url = {https://skillstore.io/skills/xixi048-feeling-search/audits/3},
note = {Author version 1.1.0}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "feeling-search security audit report (audit version 3)"
version: "1.1.0"
type: report
authors:
- name: "xixi048"
date-released: "2026-10-27"
url: "https://skillstore.io/skills/xixi048-feeling-search/audits/3"
identifiers:
- type: other
value: "skillstore:xixi048-feeling-search:audit:3"
description: "Skillstore immutable audit report identifier"
Convert a client mood description into candidate visual styles and matched vocabulary for a design discussion.
Compare styles for a game location and inspect each candidate through definitions, matched terms, and optional paid references.
Find style names and distinguishing terms for prompts used in a separate image generation tool.
Find visual styles for this mood: [description]. Use free local matching and report style names, definitions, and matched words.
Analyze [description] locally, then retry with fuzzy matching if results are sparse. Compare both results without using paid cloud analysis.
Compare [style A] and [style B] using their vocabulary and free word lookups. Highlight distinguishing terms and explain overlaps.
Use one paid image request for these styles: [up to five IDs]. Report image type, attribution, and source links; exclude placeholders.
Auteur
xixi048Licence
MIT
Version de l’auteur
v1.1.0
Révision Skillstore
r3
Réf
1e22a7c9000672c440acafc13dc0c17f8ae8d00a
Récence de maintenance
27/10/2026
Utilisation
0 téléchargements · 1 vues
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