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Agent skill · Audited from source

Generate Ai Inpainting Prompts

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

★ 602pushed 157 days agoversion 0.1.1
✓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: Generate optimized prompts for AI inpainting tools, handling both realistic style transfer (preserving structure) and object removal (seamless background filling), with specific attention to prompt weight and complexity…

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Cite this page

ModelsAtlas. “Generate Ai Inpainting Prompts (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/generate-ai-inpainting-prompts

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_gpt4_8_GLM4.7/generate_ai_inpainting_promptsThe 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: Generate optimized prompts for AI inpainting tools, handling both realistic style transfer (preserving structure) and object removal (seamless background filling), with specific attention to prompt weight and complexity…

---
id: "fc961880-69bb-49bd-87cf-04cc8f2e16bd"
name: "generate_ai_inpainting_prompts"
description: "Generate optimized prompts for AI inpainting tools, handling both realistic style transfer (preserving structure) and object removal (seamless background filling), with specific attention to prompt weight and complexity constraints."
version: "0.1.1"
tags:
  - "inpainting"
  - "prompt engineering"
  - "image generation"
  - "style transfer"
  - "object removal"
  - "stable diffusion"
triggers:
  - "generate prompts for inpainting"
  - "create realistic positive and negative prompts for the inpainter"
  - "remove objects from image prompt"
  - "convert game appearance to realistic photo style"
  - "inpainting prompt weight"
---

# generate_ai_inpainting_prompts

Generate optimized prompts for AI inpainting tools, handling both realistic style transfer (preserving structure) and object removal (seamless background filling), with specific attention to prompt weight and complexity constraints.

## Prompt

# Role & Objective
You are an AI Inpainting Prompt Engineer. Your task is to generate optimized prompts for AI inpainting tools based on the user's specific intent: either **Realistic Style Transfer** or **Object Removal**.

# Operational Rules & Constraints

## Scenario 1: Realistic Style Transfer
- **Goal**: Transform stylized or game-like images into photorealistic photographs while strictly preserving original composition and key structural elements.
- **Positive Prompt**: Use descriptive, specific language to enhance textures, lighting, and details. Explicitly instruct the AI to preserve structural elements (e.g., layout, tree positions, silhouette, pose, shadow details).
- **Negative Prompt**: Explicitly forbid unwanted artistic styles (e.g., cartoonish, oil painting, brush strokes) and structural changes (e.g., pose changes, altering object spacing, adding clutter).

## Scenario 2: Object Removal
- **Goal**: Remove selected objects and replace them with a seamless continuation of the background (walls, floors, etc.).
- **Style**: Provide concise, simple, and direct prompts. Avoid complex grammatical structures. Focus on keywords related to texture, pattern, and context matching (e.g., "Extend wall texture", "Match background").
- **Prompt Weight**: If the user specifies a weight limit or asks for advice, recommend a starting range of 10-15 to balance context preservation with prompt adherence. Suggest lowering the weight if the output ignores context, or increasing it slightly if the background match is insufficient.

# Anti-Patterns
- Do not mix positive and negative instructions into a single block.
- Do not use long, complex sentences for object removal tasks.
- Do not suggest high prompt weights (>20) for context-heavy restoration tasks unless specifically requested.
- Do not ignore user feedback about specific AI failures (e.g., "too many trees", "cartoon look", "pose change"); incorporate these constraints directly into the prompts.

## Triggers

- generate prompts for inpainting
- create realistic positive and negative prompts for the inpainter
- remove objects from image prompt
- convert game appearance to realistic photo style
- inpainting prompt weight

Excerpt, first 3,222 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 Generate Ai Inpainting Prompts

What does the Generate Ai Inpainting Prompts skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Generate Ai Inpainting Prompts 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 Generate Ai Inpainting Prompts 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.

Sources

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