Compétences image-edit
📩

image-edit

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Edit Images with Intent-Based RunComfy Routing

Different image edits require different models and input formats. This skill selects a RunComfy route and prepares model-specific prompts and CLI requests.

Prend en charge: Claude Codex Code(CC)
Maintain this Skill? Claim it đŸ„‰ 77 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent
Review the Skillstore skill "image-edit" from https://skillstore.io/skills/prime-skills-image-edit.md and its manifest at https://skillstore.io/api/skills/prime-skills-image-edit/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.

Ressources lisibles par les agents

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.

Tester

Utilisation de « image-edit ». Choose a route for three product images that need matching white backgrounds.

Résultat attendu:

  • Illustrative request plan: Nano Banana Edit with three source image URLs.
  • Preservation: keep product shapes, labels, and colors unchanged.
  • Settings: aspect ratio 1:1 and resolution 1K.
  • Execution requires authenticated RunComfy access; this example does not include a generated image.

Utilisation de « image-edit ». Choose a route to remove cables from a street photograph using a prepared grayscale mask.

Résultat attendu:

  • Illustrative request plan: Z-Image Turbo Inpaint with the source image and mask URLs.
  • Mask: white selects cables for editing; black preserves surrounding areas.
  • Initial settings: strength 0.5 and control scale 0.8, following the documented removal example.
  • Preservation: retain rooflines and the sky gradient; inspect the generated result for artifacts.

Audit de sécurité

Sûr
v1 ‱ 01/11/2026 Ouvrir le rapport versionnĂ©

All 84 static detections are false positives involving Markdown formatting, placeholder URLs, documentation links, or documented owner-only credential storage. No evidence found of malicious instructions, unauthorized data collection, or prompt injection in SKILL.md. Remote image processing is explicit; the external CLI implementation and its stated security protections were not verified.

1
Fichiers analysés
271
Lignes analysées
0
ÉlĂ©ments Ă  examiner
0
Faux positifs ignorés
Le dernier audit statique et sĂ©mantique terminĂ© n’a dĂ©tectĂ© aucun constat de sĂ©curitĂ© confirmĂ©. Cela ne prouve pas que le skill est sans effets secondaires.
Audité par: codex
Partager et citer ce rapport

Partagez le rapport d’évaluation versionnĂ©, le badge neutre, la carte intĂ©grable et les citations. Skillstore prĂ©sente les preuves sans dĂ©cider si ce Skill est sĂ»r.

Ouvrir le rapport versionné
Évaluation de sĂ©curitĂ©

Copier le lien du rapport

https://skillstore.io/skills/prime-skills-image-edit/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Badge Markdown

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

Badge HTML

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

Carte intégrable

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

Citation APA

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

Citation BibTeX

@techreport{prime-skills-prime-skills-image-edit-2026, author = {prime-skills}, title = {image-edit security audit report (audit version 1)}, institution = {Skillstore}, year = {2026}, number = {1}, url = {https://skillstore.io/skills/prime-skills-image-edit/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: "image-edit security audit report (audit version 1)" version: "unspecified" type: report authors: - name: "prime-skills" date-released: "2026-11-01" url: "https://skillstore.io/skills/prime-skills-image-edit/audits/1" identifiers: - type: other value: "skillstore:prime-skills-image-edit:audit:1" description: "Skillstore immutable audit report identifier"

Comparer les variantes

5 variantes installables

Chaque auteur reste un skill installable distinct. La variante recommandée est classée selon les preuves Skillstore.

Pourquoi cette variante est premiĂšre

Meilleur score Skillstore
prime-skills Recommandé Actuelle

prime-skills-image-edit

Score Skillstore 77
Niveau de confiance des preuves Moyen
Utilisation Skillstore Inconnu
Mis Ă  jour

2026-11-01

runcomfy-com-image-edit

Score Skillstore 50
Niveau de confiance des preuves ÉlevĂ©
Utilisation Skillstore 46
Mis Ă  jour

2026-09-09

doany-ai-image-edit

Score Skillstore 50
Niveau de confiance des preuves ÉlevĂ©
Utilisation Skillstore 43
Mis Ă  jour

2026-09-09

agentspace-so-image-edit

Score Skillstore 38
Niveau de confiance des preuves ÉlevĂ©
Utilisation Skillstore 46
Mis Ă  jour

2026-10-22

danielgwilson-image-edit

Score Skillstore 38
Niveau de confiance des preuves Moyen
Utilisation Skillstore 43
Mis Ă  jour

2026-09-09

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen
55
Architecture
85
Maintenabilité
87
Contenu
65
Communauté
83
Conformité aux spécifications

Ce que vous pouvez créer

Standardize Product Image Backgrounds

Prepare consistent background edits for a product series while specifying preserved subjects, aspect ratio, and resolution.

Localize Text in Campaign Images

Request exact headline replacements in another language while preserving the photograph, brand mark, and layout.

Retouch Selected Photo Regions

Prepare masked removal or replacement requests with explicit preservation boundaries and suitable strength settings.

Essayez ces prompts

Beginner: Replace a Background
Edit the image at [image URL]. Replace only the background with light gray studio paper. Preserve the subject, pose, and clothing.
Intermediate: Edit a Product Series
Use Nano Banana Edit for [image URLs]. Apply a consistent white background and preserve each product. Set aspect ratio 1:1 and resolution 1K.
Advanced: Localize an Image Headline
Use GPT Image 2 Edit on [poster URL]. Replace only the headline with "[exact text]" using [script]. Preserve the photograph, logo, and layout.
Expert: Configure Masked Replacement
Use Z-Image Turbo Inpaint with [image URL] and [mask URL]. Replace the white-masked region with [replacement]. Preserve unmasked details. Set strength [value].

Bonnes pratiques

  • State what must remain unchanged before describing the edit, and split complex changes into smaller passes.
  • Verify permission for remote processing, protect credentials, and use approved image URLs before running the CLI.
  • Match the route to reference counts and mask availability; inspect generated images for text errors and unintended changes.

Éviter

  • Sending confidential images or credentials through unapproved public URLs or placing tokens inside prompts.
  • Using a single-reference route for multiple images or requesting inpainting without a grayscale mask.
  • Combining many unrelated changes in one request and assuming subject identity or text accuracy is guaranteed.

Foire aux questions

What must be installed before running an edit?
Install the RunComfy CLI and authenticate with a RunComfy account. The skill documents login and an environment-token option for CI.
How does the skill choose a model?
It maps the requested edit to four documented routes. Nano Banana Edit is the default when no specialized intent is identified.
How many reference images can I provide?
The guide lists up to 20 inputs for Nano Banana and 10 for GPT Image 2 Edit. Flux Kontext accepts one reference.
Do all edits require a mask?
No. The Z-Image Turbo Inpaint route requires a grayscale mask. White marks areas to edit; black marks areas to preserve.
Are images processed on my computer?
No. The documented CLI workflow sends requests to RunComfy, where servers fetch input URLs. Generated outputs are downloaded to the selected directory.
Are the example results guaranteed?
No. The examples illustrate request plans, not tested outputs. Quality, text accuracy, service availability, and subject preservation depend on the selected model.

Détails du développeur

Licence

MIT

Révision Skillstore

r1

Avis de version

L’auteur n’a dĂ©clarĂ© aucune version.

Réf

26908a3ee86cf306c97e871bf2c30610e8f763ec

Récence de maintenance

01/11/2026

Utilisation

0 téléchargements · 0 vues

Structure de fichiers

📄 SKILL.md

Autres compétences de prime-skills

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