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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 runcomfy-cli
📦
runcomfy-cli
Content revision r1 Safe ⚙️ External commands🌐 Network access📁 Filesystem access
Run RunComfy Models from the CLI
Teams need a repeatable way to run RunComfy media models from scripts. This skill guides CLI install, authentication, model runs, polling, and downloads.
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 "runcomfy-cli" from https://skillstore.io/skills/runcomfy-com-runcomfy-cli.md and its manifest at https://skillstore.io/api/skills/runcomfy-com-runcomfy-cli/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 "runcomfy-cli". Ask for a first RunComfy text-to-image command.
Expected outcome:
A short terminal command, required input fields, and notes about where generated files are saved.
Using "runcomfy-cli". Ask how to run many prompts from a file.
Expected outcome:
A batch workflow description that builds valid inputs, creates separate output folders, and handles failures.
Using "runcomfy-cli". Ask how to use RunComfy in CI.
Expected outcome:
A CI-ready workflow outline using token authentication, JSON output, no-wait submission, and later status polling.
Security Audit
Safev4 • 7/5/2026 Open versioned report
Static analysis flagged many shell, URL, and filesystem patterns in SKILL.md, but review found they are documentation examples for the declared RunComfy CLI workflow. The token file path is described as protected credential storage, and the apparent traversal string is an ellipsis in an output URL. No prompt injection attempt, data exfiltration intent, or hidden command execution was found.
1
Files scanned
272
Lines analyzed
0
Review items
0
False positives ignored
Risk Factors
⚙️ External commands (85)
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🌐 Network access (24)
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📁 Filesystem access (5)
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.
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<iframe src="https://skillstore.io/embed/skills/runcomfy-com-runcomfy-cli.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). runcomfy-cli security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/runcomfy-com-runcomfy-cli/audits/4BibTeX citation
@techreport{runcomfy-com-runcomfy-com-runcomfy-cli-2026,
author = {runcomfy-com},
title = {runcomfy-cli security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/runcomfy-com-runcomfy-cli/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: "runcomfy-cli 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-runcomfy-cli/audits/4"
identifiers:
- type: other
value: "skillstore:runcomfy-com-runcomfy-cli: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
Higher Skillstore usage
Author / source Skillstore Score Evidence Confidence Skillstore usage Updated
runcomfy-com-runcomfy-cli
Skillstore Score 78
Evidence Confidence High
Skillstore usage 13
Updated
2026-08-21
doany-ai-runcomfy-cli
Skillstore Score 78
Evidence Confidence High
Skillstore usage 12
Updated
2026-08-21
agentspace-so-runcomfy-cli
Skillstore Score 38
Evidence Confidence High
Skillstore usage 11
Updated
2026-08-21
Skillstore Score
Why this score Evidence Confidence: High 55
Architecture
85
Maintainability
85
Content
67
Community
91
Spec Compliance
What You Can Build
Automate image generation
Run text-to-image or image-edit jobs from repeatable terminal commands.
Build media pipelines
Submit video, lip-sync, face swap, or upscale jobs from scripts.
Operate CI workflows
Use token authentication, JSON output, and no-wait jobs in automation.
Try These Prompts
Check my setup
Help me verify that the RunComfy CLI is installed and that I am signed in.
Run one model
Show me the RunComfy CLI command to run a text-to-image model with this prompt: [describe prompt].
Create a batch workflow
Design a RunComfy CLI batch workflow that reads prompts from a file and stores each output separately.
Automate async jobs
Create a RunComfy CLI automation plan that submits jobs without waiting, polls status later, and retries transient failures.
Best Practices
- Install the CLI through verified package managers and inspect any remote installer first.
- Keep RunComfy tokens out of prompts, logs, repositories, and shared terminal history.
- Use JSON output mode when scripting so downstream tools receive stable machine-readable results.
Avoid
- Do not paste API tokens into chat prompts or generated command examples.
- Do not pipe remote installer scripts into a shell without reviewing them first.
- Do not enable web search or ingest third-party media unless the task explicitly needs it.
Frequently Asked Questions
What does this skill help me do?
It helps an AI assistant use the RunComfy CLI for model runs, status checks, and output downloads.
Which tools does it support?
The report declares support for Claude, Codex, and Claude Code.
Do I need a RunComfy account?
Yes. You need an account and either an interactive login or a valid RunComfy token.
Can it run image and video models?
Yes. The skill documents image, video, editing, lip-sync, face swap, upscale, and related RunComfy endpoints.
Where are generated files saved?
By default, downloads go to the current directory. The CLI also supports an output directory option.
Is it suitable for automation?
Yes. It covers JSON output, no-wait jobs, status polling, timeout handling, and retry guidance.
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
5 downloads · 0 views
File structure
📄 SKILL.md
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