Atlas / Skills / gencraft-labs / ai-image-generation

ai-image-generationSAFE

skills/gencraft-labs/ai-image-generation
Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
0
01

Overview

An agent skill published by gencraft-labs.

Read from source at commit cdf87f933093OBSERVED · 2026-10-14
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02

Install

Commands as the repository documents them. They are shown, not run.

npm i -g @runcomfy/cli                              # global install
npx skills add agentspace-so/runcomfy-agent-skills --skill ai-image-generation -g
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: ai-image-generation
displayName: "AI Image Generation"
allowed-tools: Bash(runcomfy *)
description: >
  Generate and edit images on RunComfy via the `runcomfy` CLI — a smart
  router across the full image-model catalog: FLUX 2 (Klein 9B/4B, Pro,
  Dev, Flash, Turbo, Max), Google Nano Banana 2 / Pro, OpenAI GPT Image 2,
  ByteDance Seedream 5 / 4-5 / 4-0 and Dreamina 4-0, Alibaba Qwen Image
  and Z-Image Turbo, Wan 2-7. Covers both text-to-image (t2i) and
  image-to-image / edit (i2i) endpoints — the skill picks the right
  model for the user's actual intent (typography precision, photoreal
  portraits, sub-second iteration, multi-reference brand styling,
  open-weights workflow) and ships each model's documented prompting
  patterns plus the minimal `runcomfy run` invoke. Triggers on
  "generate image", "make a picture", "text to image", "AI image",
  "make an image of ...", "image to image", "i2i", or any explicit ask
  to create or restyle an image.
homepage: https://www.runcomfy.com
license: MIT
---

# AI Image Generation

Generate and edit images with 11+ AI models via the [RunComfy](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation) CLI — text-to-image and image-to-image, one auth, one command. This skill picks the right model for the user's intent and ships the documented prompt patterns + the exact `runcomfy run` invoke for each.

[runcomfy.com](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation) · [Browse all models](https://www.runcomfy.com/models?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation) · [CLI docs](https://docs.runcomfy.com/cli/introduction?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation)

## Powered by the RunComfy CLI

```bash
# 1. Install (one of — see runcomfy-cli skill for details)
npm i -g @runcomfy/cli                              # global install
npx -y @runcomfy/cli --version                      # zero-install

# 2. Sign in (interactive — opens browser)
runcomfy login
# or in CI / containers:
export RUNCOMFY_TOKEN=<token-from-runcomfy.com/profile>

# 3. Generate
runcomfy run <vendor>/<model>/<endpoint> \
  --input '{"prompt": "..."}' \
  --output-dir ./out
```

CLI docs: [Install](https://docs.runcomfy.com/cli/install?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation) · [Quickstart](https://docs.runcomfy.com/cli/quickstart?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation) · [Commands](https://docs.runcomfy.com/cli/commands?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation) · [Auth](https://docs.runcomfy.com/cli/auth?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation) · [Troubleshooting](https://docs.runcomfy.com/cli/troubleshooting?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation)

## Install this skill

```bash
npx skills add agentspace-so/runcomfy-agent-skills --skill ai-image-generation -g
```

---

## Pick the right model for the user's intent

### Text-to-image (t2i) — newest first

**FLUX 2 Klein 9B** — `blackforestlabs/flux-2-klein/9b/text-to-image` *(default)*
> Step-distilled, 4–25 steps, native multi-reference conditioning, strong photoreal + illustration all-rounder.
> Pick for: intent unclear, fast iteration, multi-ref styling, general-purpose.
> Avoid for: in-image text — use **GPT Image 2**.

**FLUX 2 Klein 4B** — `blackforestlabs/flux-2-klein/4b/text-to-image`
> Sub-second variant of Klein 9B, same field set.
> Pick for: storyboard, moodboard, batch concepting at speed.
> Avoid for: final delivery — slight quality drop vs 9B.

**FLUX 2 Pro / Dev / Flash / Turbo / Max** — `blackforestlabs/flux-2/max`, [`flux-2-dev`](https://www.runcomfy.com/models/blackforestlabs/flux-2-dev/text-to-image?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation), [`flux-2-flash`](https://www.runcomfy.com/models/blackforestlabs/flux-2-flash?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation), [`flux-2-turbo`](https://www.runcomfy.com/models/blackforestlabs/flux-2-turbo?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation)
> Higher-fidelity tiers of the FLUX 2 base. Cinematic + brand work, hero shots.
> Pick for: production polish, brand campaigns.
> Avoid for: sub-second speed — use **Klein 4B**.

**Nano Banana Pro** — [`google/nano-banana-pro/text-to-image`](https://www.runcomfy.com/models/google/nano-banana-pro/text-to-image?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation)
> Highest-quality Nano Banana tier. Gemini-grounded, optional web search for real-world references (products, landmarks).
> Pick for: NB-style instruction-following at higher fidelity.
> Avoid for: cost-sensitive iteration — drop to **Nano Banana 2**.

**Nano Banana 2** — `google/nano-banana-2/text-to-image`
> Flash-tier latency, predictable framing, `enable_web_search` flag for real-product / real-person grounding.
> Pick for: speed iteration, 4-up batch, real-world grounded prompts.
> Avoid for: long compositional instructions — use **GPT Image 2**.

**GPT Image 2** — `openai/gpt-image-2/text-to-image`
> Best-in-class in-image text rendering (Japanese kana, Cyrillic, Arabic). Layout-precise instruction following.
> Pick for: posters, ads, multi-line copy, multilingual creatives, exact-text headlines.
> Avoid for: photoreal portraits — **Seedream 5** wins on skin tones and lighting.

**Seedream 5 Lite** — [`bytedance/seedream-5/lite/text-to-image`](https://www.runcomfy.com/models/bytedance/seedream-5/lite/text-to-image?utm_source=skills.sh&utm_medium=skill&utm_campaign=ai-image-generation)
> Latest ByteDance Seedream tier. Photoreal skin tones, natural lighting, strong East Asian aesthetic.
> Pick for: photoreal portraits, product shots, fashion / lifestyle.
> Avoid for: typography precision — use **GPT Image 2**.

**Seedream 4-5** — [`bytedance/seedream-4-5/text-to-im
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha cdf87f933093full audit observations/trust-audit/skill/gencraft-labs__ai-image-generation.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-14cdf87f933093SAFEB89first audit
06

Questions

Is ai-image-generation safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can ai-image-generation access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (cdf87f933093), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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