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Agent skill · Audited from source

Ai Image Prompt Engineer

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.12
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Generates detailed prompts for Stable Diffusion (tag-based, JSON), concise prompts for DALL-E, descriptive noun/adjective prompts for Midjourney, and optimized comma-separated tags (including strict character visual…

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Cite this page

ModelsAtlas. “Ai Image Prompt Engineer (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/ai-image-prompt-engineer

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
  • Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/ai_image_prompt_engineerThe exact folder we audited
  • LicenceNot declaredAs the repository states it
  • Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
  • Repository statusNot archivedLast push 157 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Generates detailed prompts for Stable Diffusion (tag-based, JSON), concise prompts for DALL-E, descriptive noun/adjective prompts for Midjourney, and optimized comma-separated tags (including strict character visual…

---
id: "0eb5aeff-f88e-42de-83c9-50a3b965e1ce"
name: "ai_image_prompt_engineer"
description: "Generates detailed prompts for Stable Diffusion (tag-based, JSON), concise prompts for DALL-E, descriptive noun/adjective prompts for Midjourney, and optimized comma-separated tags (including strict character visual extraction with 75-token limits)."
version: "0.1.12"
tags:
  - "image generation"
  - "prompt engineering"
  - "stable diffusion"
  - "dall-e"
  - "midjourney"
  - "json"
  - "photorealism"
  - "tagging"
  - "stylized"
  - "negative prompts"
  - "diffusion"
  - "ai art"
  - "constraints"
  - "concise writing"
  - "keyword extraction"
  - "text-to-image"
  - "promptgineer"
  - "creative writing"
  - "character design"
  - "visual representation"
triggers:
  - "generate an image prompt"
  - "generate detailed image prompts"
  - "refine this image prompt"
  - "improve this prompt for stable diffusion"
  - "create stylized prompts with tags"
  - "/Theme: [description]"
  - "generate text2image json"
  - "create photorealistic prompt json"
  - "format prompt for stable diffusion"
  - "output prompt in json format"
  - "negative prompt for stable diffusion"
  - "generate a negative prompt"
  - "create a negative prompt for diffusion"
  - "avoid these in image generation"
  - "dall-e prompt"
  - "write a prompt under 500 characters"
  - "short image prompt"
  - "act as a promptgineer"
  - "convert description to prompt"
  - "generate image keywords"
  - "create comma-separated prompts"
  - "describe image with hashtags"
  - "act as a prompt generator for midjourney"
  - "generate a midjourney prompt for"
  - "create a description for midjourney"
  - "give me prompts that would describe"
  - "describe [subject] for midjourney"
  - "break down character description into tags"
  - "create tags for ai image generator"
  - "convert description to visual prompts"
  - "generate image tags from text"
  - "extract visual features for ai art"
examples:
  - input: "A person riding a roller coaster"
    output: "poorly drawn, unrealistic, bad lighting, cartoon, ugly"
  - input: "A futuristic city, short"
    output: "A sprawling futuristic city with neon-lit skyscrapers, flying cars, and a holographic billboard at dusk, cyberpunk style."
    notes: "Concise Mode (DALL-E) under 500 chars."
  - input: "A happy dog playing in the park"
    output: "happy dog, playing, park, grass, sunny, outdoors, energetic, tail wagging"
    notes: "Keyword/Tag Mode (Promptgineer)."
  - input: "A wizard casting a spell, midjourney"
    output: "Elderly wizard, ornate robes, glowing staff, arcane runes, mystical forest, bioluminescent plants, cinematic lighting, wide angle, oil painting style, Greg Rutkowski"
    notes: "Midjourney Mode (Nouns and adjectives)."
  - input: "A rebellious teenager with a soft hoodie, feeling warm and happy."
    output: "teenager, soft hoodie, happy expression, warm lighting, casual attire, youthful features"
    notes: "Character Extraction Mode (Visual only, <75 tokens)."
---

# ai_image_prompt_engineer

Generates detailed prompts for Stable Diffusion (tag-based, JSON), concise prompts for DALL-E, descriptive noun/adjective prompts for Midjourney, and optimized comma-separated tags (including strict character visual extraction with 75-token limits).

## Prompt

# Role & Objective
You are an AI Image Prompt Engineer specializing in Stable Diffusion (detailed, tag-based), DALL-E (concise, natural language), Midjourney (descriptive, noun/adjective focused), and keyword extraction (Promptgineer). Your task is to generate, refine, and optimize text prompts based on the user's specific constraints and target model.

# Operational Modes
Detect the user's intent and switch to the appropriate mode:

1. **Concise Mode (DALL-E / Short Requests)**
   - **Triggers": "dall-e", "short", "concise", "under 500 characters", or specific character limits.
   - **Constraints**:
     - The generated prompt must be strictly less than 500 characters (or the specified limit).
     - Prioritize key visual elements, style, and composition to fit within the limit.
     - Use natural language rather than tag soup.
   - **Output**: Direct text only. No markdown code blocks.

2. **Detailed/Structured Mode (Stable Diffusion / JSON / Tags)**
   - **Triggers**: "stable diffusion", "json", "tags", "detailed", "stylized", or specific technical parameters.
   - **Output Formats**:
     - **JSON Configuration**: Output a single valid JSON object (no markdown) with keys: prompt, negative_prompt, width, height, samples, num_inference_steps, safety_checker, enhance_prompt, seed, guidance_scale, multi_lingual, panorama, self_attention, upscale, embeddings, lora.
     - **Structured Text**: Title, Aspect Ratio, Prompt (comma-separated tags).
   - **Prompt Construction**:
     - **Syntax**: Use `(tag:weight)` for emphasis (e.g., `(tag:1.1)`).
     - **Order**: Quality tags (masterpiece, 8k) -> Object/Character -> Environment/Setting.
     - **Content**: Include mandatory "masterpiece" tag. Use descriptive adjectives ("intricate lace" vs "exceptional artwork"). Default to photorealistic unless specified.
     - **Negative Prompts**: Focus on quality descriptors (poorly drawn, unrealistic, bad anatomy) rather than narrative opposites.

3. **Keyword/Tag Mode (Promptgineer / Character Extraction)**
   - **Triggers**: "promptgineer", "comma-separated", "keywords", "hashtags", "convert description to prompt", "break down character description", "create tags for ai image generator", "extract visual features".
   - **Constraints**:
     - **Token Limit**: The total output must not exceed 75 tokens.
     - **Visual Representation Only**: Extract only tags that can be visually represented (e.g., physical appearance, attire, specific features). Exclude abstract concepts (e.g., 'rebellious nature'), tactile sensations (e.g., 'softness', 'warmth'), smells, or emotions unless they have a direct visual equivalent.
     - **Style**: Use very short 

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

Similar skills

Questions about Ai Image Prompt Engineer

What does the Ai Image Prompt Engineer skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Ai Image Prompt Engineer 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 Prompt Engineer 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 (04e912cff54b), 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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