Create 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.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "controlnet-pose" from https://skillstore.io/skills/runcomfy-com-controlnet-pose.md and its manifest at https://skillstore.io/api/skills/runcomfy-com-controlnet-pose/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.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "controlnet-pose". A user has a dance reference video and a mascot image.
Expected outcome:
The skill recommends Kling Motion Control Pro, with Standard as a lower-cost draft option.
Using "controlnet-pose". A user has an OpenPose skeleton and wants a still character image.
Expected outcome:
The skill recommends Z-Image Turbo ControlNet LoRA and asks for a hosted control image URL.
Using "controlnet-pose". A user wants pose plus depth plus reference-image control.
Expected outcome:
The skill explains that multi-condition stacks need RunComfy ComfyUI workflows, not the listed CLI endpoints.
I reviewed SKILL.md and found no prompt-injection attempt, hidden exfiltration instruction, or malicious intent. All 62 static findings are false positives caused by Markdown backticks, documented RunComfy links, sample asset URLs, secure token-storage documentation, and benign model-selection wording. The skill is a transparent networked RunComfy workflow, so users should understand that normal operation depends on the RunComfy CLI and external API.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/runcomfy-com-controlnet-pose/audits/4?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/runcomfy-com-controlnet-pose?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/runcomfy-com-controlnet-pose?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/runcomfy-com-controlnet-pose/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/runcomfy-com-controlnet-pose.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>runcomfy-com. (2026). controlnet-pose security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/runcomfy-com-controlnet-pose/audits/4@techreport{runcomfy-com-runcomfy-com-controlnet-pose-2026,
author = {runcomfy-com},
title = {controlnet-pose security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/runcomfy-com-controlnet-pose/audits/4},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "controlnet-pose 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-controlnet-pose/audits/4"
identifiers:
- type: other
value: "skillstore:runcomfy-com-controlnet-pose:audit:4"
description: "Skillstore immutable audit report identifier"
Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
runcomfy-com-controlnet-pose
2026-09-09
doany-ai-controlnet-pose
2026-09-09
agentspace-so-controlnet-pose
2026-09-09
Map a dance, sport, or gesture video onto a target character image.
Use an OpenPose, DWPose, depth, or canny control image for composition control.
Compare model options for draft cost, final fidelity, subject style, and input type.
Use this pose reference to make a still image. Tell me which RunComfy route to use and what inputs are required.
Transfer the motion from my reference video to this character image. Recommend the right Kling tier for a draft.
Compare Kling Motion Control, Wan Animate, and Z-Image ControlNet for my project. Explain tradeoffs for fidelity, style, and input type.
Plan a multi-condition pose workflow using pose, depth, and a reference image. Identify what must move from CLI to ComfyUI.
Author
runcomfy-comLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
62e2a730c5cd74eab4c7164309d810de660fcea3
Maintenance freshness
7/18/2026
Usage
5 downloads · 0 views
File structure
📄 SKILL.md
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