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controlnet-pose
79Create Pose-Controlled Images and Videos
Pose-controlled generation often requires choosing the right model and input format. This skill routes image and video requests to RunComfy workflows.
Design & Creative View
Skills image-inpainting
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image-inpainting
Content revision r1 Safe ⚙️ External commands🌐 Network access📁 Filesystem access
Inpaint Images with RunComfy
Mask-driven image edits can be slow when prompts, masks, and model choices are handled manually. This skill guides Claude, Codex, or Claude Code to run RunComfy inpainting with the right model and inputs.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "image-inpainting" from https://skillstore.io/skills/runcomfy-com-image-inpainting.md and its manifest at https://skillstore.io/api/skills/runcomfy-com-image-inpainting/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 "image-inpainting". A product photo has a mask over a cluttered background.
Expected outcome:
The skill selects Z-Image Turbo Inpainting, fills the masked background with clean studio paper, and saves the result to the output directory.
Using "image-inpainting". A street photo has masked overhead cables.
Expected outcome:
The skill removes the cables, asks RunComfy to preserve rooflines and sky gradients, and reports where the edited image was downloaded.
Using "image-inpainting". A user describes a local edit but has no mask image.
Expected outcome:
The skill recommends a description-based edit model and frames the prompt to preserve everything outside the requested region.
Security Audit
Safev4 • 7/5/2026 Open versioned report
No prompt injection, covert data exfiltration, or malicious filesystem behavior was found in the reviewed skill file. The static findings are false positives from Markdown code formatting, documented RunComfy URLs, sample CLI usage, and normal token storage documentation. The main residual consideration is expected privacy exposure because user-provided image and mask URLs are sent to RunComfy services.
1
Files scanned
223
Lines analyzed
0
Review items
0
False positives ignored
Risk Factors
⚙️ External commands (47)
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🌐 Network access (23)
📁 Filesystem access (2)
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/runcomfy-com-image-inpainting/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/runcomfy-com-image-inpainting?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/runcomfy-com-image-inpainting/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/runcomfy-com-image-inpainting.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 · BibTeX · CFF)
APA citation
runcomfy-com. (2026). image-inpainting security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/runcomfy-com-image-inpainting/audits/4BibTeX citation
@techreport{runcomfy-com-runcomfy-com-image-inpainting-2026,
author = {runcomfy-com},
title = {image-inpainting security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/runcomfy-com-image-inpainting/audits/4},
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-inpainting security audit report (audit version 4)"
version: "unspecified"
type: report
authors:
- name: "runcomfy-com"
date-released: "2026-07-05"
url: "https://skillstore.io/skills/runcomfy-com-image-inpainting/audits/4"
identifiers:
- type: other
value: "skillstore:runcomfy-com-image-inpainting:audit:4"
description: "Skillstore immutable audit report identifier"
Compare variants
3 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
Highest Skillstore Score
Author / source Skillstore Score Evidence Confidence Skillstore usage Updated
runcomfy-com-image-inpainting
Skillstore Score 79
Evidence Confidence High
Skillstore usage 41
Updated
2026-09-09
doany-ai-image-inpainting
Skillstore Score 70
Evidence Confidence High
Skillstore usage 45
Updated
2026-09-09
agentspace-so-image-inpainting
Skillstore Score 70
Evidence Confidence High
Skillstore usage 28
Updated
2026-09-09
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
85
Maintainability
87
Content
67
Community
91
Spec Compliance
What You Can Build
Clean Product Backgrounds
Replace masked product backgrounds with consistent studio surfaces while preserving the product edges.
Retouch Local Image Defects
Remove small distractions, blemishes, or damaged areas from user-owned images with controlled masks.
Apply Styled Region Replacements
Use LoRA-capable inpainting routes when a masked area must match a brand or visual style.
Try These Prompts
Remove a Masked Object
Inpaint the masked area in [image URL] using [mask URL]. Remove [object] and preserve [areas to keep].
Replace a Background
Replace the masked background in [image URL] with [new background]. Keep the subject unchanged and blend the mask edge naturally.
Tune Cleanup Strength
Use RunComfy inpainting for [image URL] and [mask URL]. Set strength near 0.5 for cleanup and keep nearby textures matched.
Choose the Best Route
Choose the best RunComfy route for this edit. I have [mask or no mask], [image URL], and need [goal], while preserving [constraints].
Best Practices
- Use masks that match the source image dimensions and align with the intended edit region.
- State what must remain unchanged outside the mask.
- Confirm permission before removing watermarks, logos, or identifying marks.
Avoid
- Do not reuse a mask from a different source image.
- Do not send private or regulated images to external services without approval.
- Do not use high strength values for subtle cleanup unless full replacement is intended.
Frequently Asked Questions
Does this skill create masks?
No. It consumes image and mask URLs. Create masks with an image editor or segmentation tool first.
Which model does it use for masked edits?
It defaults to Tongyi MAI Z-Image Turbo Inpainting when a mask is available.
What happens when I do not have a mask?
The skill recommends description-based edit models such as Nano Banana 2 Edit, GPT Image 2 Edit, or FLUX Kontext Pro.
Can it remove watermarks?
It can guide watermark cleanup, but only use it when you own the content or have permission.
Where are results saved?
RunComfy downloads completed results into the output directory selected for the CLI run.
Does it work offline?
No. The RunComfy CLI sends the request to RunComfy model services and downloads the result.
Developer Details
Author
runcomfy-comLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
62e2a730c5cd74eab4c7164309d810de660fcea3
Maintenance freshness
7/18/2026
Usage
1 downloads · 0 views
File structure
📄 SKILL.md
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