Skills runcomfy-cli
📦

runcomfy-cli

Content revision r1 Safe ⚙️ External commands🌐 Network access📁 Filesystem access

Run RunComfy Models from the CLI

Creative teams and developers need a reliable way to run RunComfy models from automated terminal workflows. This skill explains authentication, schema discovery, job submission, polling, downloads, and safer scripting with the RunComfy CLI.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

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/doany-ai-runcomfy-cli.md and its manifest at https://skillstore.io/api/skills/doany-ai-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.

Markdown detail GET /skills/doany-ai-runcomfy-cli.md Signed manifest GET /api/skills/doany-ai-runcomfy-cli/manifest Signed lockfile GET /api/skills/doany-ai-runcomfy-cli/lockfile

Test it

Using "runcomfy-cli". User asks to generate a product image with a specific RunComfy model.

Expected outcome:

  • Confirms CLI authentication status.
  • Identifies required model inputs from the API tab.
  • Submits the job and reports the downloaded output location.

Using "runcomfy-cli". User has a list of prompts and wants repeatable batch generation.

Expected outcome:

  • Builds a batch plan with separate output folders.
  • Uses safe prompt handling for each request.
  • Explains retry behavior for timeout and rate-limit errors.

Using "runcomfy-cli". User needs CI usage without browser login.

Expected outcome:

  • Recommends token-based authentication through a protected CI secret.
  • Uses machine-readable output for downstream automation.
  • Avoids logging token values or generated private URLs.

Security Audit

Safe
v4 • 7/5/2026 Open versioned report

All 118 static matches appear to be Markdown documentation, intended RunComfy CLI examples, official RunComfy URLs, or disclosed token-storage notes. I found no prompt injection attempt, hidden exfiltration intent, or executable payload in SKILL.md; the main operational risk is normal use of an external model API with local credentials.

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)
SKILL.md:114 SKILL.md:65 SKILL.md:251 SKILL.md:65 SKILL.md:251
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 →
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Security Assessment

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Academic citations (APA · BibTeX · CFF)

APA citation

doany-ai. (2026). runcomfy-cli security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/doany-ai-runcomfy-cli/audits/4

BibTeX citation

@techreport{doany-ai-doany-ai-runcomfy-cli-2026, author = {doany-ai}, title = {runcomfy-cli security audit report (audit version 4)}, institution = {Skillstore}, year = {2026}, number = {4}, url = {https://skillstore.io/skills/doany-ai-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: "doany-ai" date-released: "2026-07-05" url: "https://skillstore.io/skills/doany-ai-runcomfy-cli/audits/4" identifiers: - type: other value: "skillstore:doany-ai-runcomfy-cli:audit:4" description: "Skillstore immutable audit report identifier"

Compare variants

3 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Higher Skillstore usage
runcomfy-com Recommended

runcomfy-com-runcomfy-cli

Skillstore Score 78
Evidence Confidence High
Skillstore usage 12
Updated

2026-08-21

doany-ai Current

doany-ai-runcomfy-cli

Skillstore Score 78
Evidence Confidence High
Skillstore usage 11
Updated

2026-08-21

agentspace-so

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
87
Content
67
Community
83
Spec Compliance

What You Can Build

Automate Campaign Assets

Run repeatable image or video generation jobs from terminal workflows and save outputs into organized folders.

Batch Test Model Prompts

Submit many prompts, capture request IDs, retry transient failures, and compare generated results across models.

Run Media Jobs In CI

Use token-based authentication and machine-readable output to connect RunComfy jobs to automation pipelines.

Try These Prompts

Check Setup 
Use the RunComfy CLI skill to verify my local setup and explain the next authentication step.
Run One Image Job 
Help me run a RunComfy text-to-image model, poll until completion, and save outputs to a named folder.
Create Batch Workflow 
Build a safe batch prompt workflow for RunComfy using a prompts file, JSON output, retries, and separate output folders.
Automate No-Wait Pipeline 
Design an advanced RunComfy CLI pipeline that submits no-wait jobs, stores request IDs, polls later, handles retryable exit codes, and avoids token exposure.

Best Practices

  • Use verified package manager installation and avoid unattended remote shell installers.
  • Keep tokens in protected storage and never paste them into prompts, logs, or repositories.
  • Use explicit output directories and file size expectations for automated runs.

Avoid

  • Do not run model jobs with unreviewed third-party URLs unless the user supplied them for this task.
  • Do not enable web search unless the task needs current real-world grounding.
  • Do not mix many model schemas in one command without validating required inputs.

Frequently Asked Questions

What does this skill help me do?
It helps you use the RunComfy CLI to authenticate, run model jobs, monitor status, and download generated media.
Does it install RunComfy automatically?
It explains installation options. The skill itself is scoped to RunComfy CLI usage after installation.
Can I use it with Claude, Codex, and Claude Code?
Yes. It supports Claude, Codex, and Claude Code workflows that can call terminal tools.
Where are generated files saved?
By default, the CLI downloads files to the current directory. You can set an output directory for each run.
How should I handle API tokens?
Use the CLI login flow or protected environment secrets. Never expose tokens in prompts, logs, or source control.
Can it run image and video models?
Yes. It covers image generation, video generation, editing, lip sync, face swap, and related RunComfy endpoints.

Developer Details

Author

doany-ai

License

MIT

Skillstore revision

r1

Version notice

The author did not declare a version.

Repository

https://github.com/doany-ai/skills/tree/main/runcomfy-cli/

Ref

c579efd02184f1128d6741d16e6c8d951d7d4208

Maintenance freshness

7/18/2026

Usage

3 downloads · 0 views

File structure

📄 SKILL.md

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