Real Estate Photo Generation

Real Estate Photo Generation is a skill for Claude Code, Codex from eachlabs/skills. It costs 26 tokens per session (4,286 once invoked), scanned A, original, no licence file.

An AI image generator for real-estate photos, virtual staging, interior-design scenes, and architectural renders.

In plain words
What is it for?
It is for creating property visuals, furnished-room previews, interior concepts, and architectural presentations.
Why use it?
It helps show properties or possible room designs without arranging and photographing every setup.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for creating property visuals, furnished-room previews, interior concepts, and architectural presentations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eachlabs/skills/real-estate-photo-generation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add eachlabs/skills --skill real-estate-photo-generation
Clone the repo
git clone --depth 1 https://github.com/eachlabs/skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Real Estate Photo Generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/eachlabs/skills/real-estate-photo-generation/github.svg)](https://agentmods.dev/skills/eachlabs/skills/real-estate-photo-generation)
Your own site
<a href="https://agentmods.dev/skills/eachlabs/skills/real-estate-photo-generation"><img src="https://agentmods.dev/badge/skills/eachlabs/skills/real-estate-photo-generation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Real Estate Photo Generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/eachlabs/skills/real-estate-photo-generation"><img src="https://agentmods.dev/badge/skills/eachlabs/skills/real-estate-photo-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,286 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.04286
Opus 5.5 $0.00010 $0.01714
Sonnet 5.5 $0.00005 $0.00857
Haiku 4.5 $0.00003 $0.00429

Measured 2mo ago against content hash 951d9f982588, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Real Estate Photo Generation scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "https://eachsense-agent.core.eachlabs.run/v1/chat/completions" \
skills/real-estate-photo-generation/SKILL.md · 426 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 426 lines · 26 tokens per session scan A 951d9f982588

Subscribe to this mod's changes

Real Estate Photo Generation is a skill published in the GitHub repository eachlabs/skills (46 stars, last pushed 9d ago), with no licence file. It adds 26 tokens to every session and 4,286 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Real Estate Photo Generation compared with skills from other repositories

Real Estate Photo Generation next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
Real Estate Photo Generationeachlabs/skillsSkill469d agononeA26Claude Code, Codex
webgl-holographic-foilnexu-io/open-designSkill106kyesterdayApache-2.0A41Claude Code, Codex
html-ppt-hermes-cyber-terminalnexu-io/open-designSkill106kyesterdayApache-2.0A53Claude Code, Codex
html-ppt-taste-brutalistnexu-io/open-designSkill106kyesterdayApache-2.0A78Claude Code, Codex
visual-ralphYeachan-Heo/oh-my-codexSkill34k4d agoMITA52Codex
glance-canonical-layoutsandroid/skillsSkill10kyesterdayApache-2.0A56Claude Code
accessibilitymicrosoft/hve-coreSkill1.6kyesterdayMITA47Claude Code