ai-image-generation
Generate AI Images With Inference.sh
Image teams need quick access to many hosted generation models. This skill guides Claude, Codex, and Claude Code through inference.sh image workflows.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "ai-image-generation" from https://skillstore.io/skills/tul-sh-ai-image-generation.md and its manifest at https://skillstore.io/api/skills/tul-sh-ai-image-generation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "ai-image-generation". Create a cinematic mountain lake landscape for a travel campaign.
Expected outcome:
Recommended model: Seedream 4.5. Expected result: a high resolution landscape prompt ready for an inference.sh image run.
Using "ai-image-generation". Upscale this product image for an ecommerce hero.
Expected outcome:
Recommended model: Topaz Upscaler. Expected result: a sharper product image with preserved edges and cleaner details.
Using "ai-image-generation". Make a poster that contains the words HELLO WORLD.
Expected outcome:
Recommended model: Reve. Expected result: a poster prompt focused on readable text and controlled composition.
Security Audit
Low RiskMost static hits are Markdown backticks and command examples, not Ruby or shell backtick execution. One low issue remains because an embedded remote image can trigger an external fetch, and intended use sends prompts or image URLs to an external AI service. No prompt injection or hidden command execution was found in SKILL.md.
Confirmed security concerns (1)
Capability review items (1)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
โ๏ธ External commands (34)
๐ Network access (7)
Share & cite this report
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https://skillstore.io/skills/tul-sh-ai-image-generation/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/tul-sh-ai-image-generation?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/tul-sh-ai-image-generation/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/tul-sh-ai-image-generation.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA ยท BibTeX ยท CFF)
APA citation
tul-sh. (2026). ai-image-generation security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/tul-sh-ai-image-generation/audits/5BibTeX citation
@techreport{tul-sh-tul-sh-ai-image-generation-2026,
author = {tul-sh},
title = {ai-image-generation security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/tul-sh-ai-image-generation/audits/5},
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: "ai-image-generation security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "tul-sh"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/tul-sh-ai-image-generation/audits/5"
identifiers:
- type: other
value: "skillstore:tul-sh-ai-image-generation:audit:5"
description: "Skillstore immutable audit report identifier"
Compare variants
23 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
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Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Explore Visual Directions
Generate concept art, mood images, and style references across multiple image models.
Create Campaign Visuals
Produce social media graphics, product visuals, and ad concepts from concise prompts.
Prepare Product Mockups
Create product scene mockups, upscale selected images, and stitch visual references.
Try These Prompts
Generate a clean studio product image of [product] on [background]. Use a model suited for high quality product visuals.
Create three versions of [scene] using FLUX, Gemini, and Seedream. Summarize visible differences in realism, text, and composition.
Upscale this image URL for a presentation. Preserve the subject, improve detail, and report the selected output size.
Generate a hero image, a square social version, and a stitched comparison board for [campaign]. Use consistent colors and composition.
Best Practices
- Start with clear subject matter, lighting, composition, aspect ratio, and intended use.
- Use model-specific strengths, such as Reve for text and Topaz for upscaling.
- Review data sensitivity before sending prompts or image URLs to external services.
Avoid
- Do not send confidential product designs or private image URLs without approval.
- Do not assume every model supports the same aspect ratios or image inputs.
- Do not use vague prompts when brand, layout, or text accuracy matters.