Inclusive Visuals Specialist

Inclusive Visuals Specialist is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 30 tokens per session (1,387 once invoked), scanned A, original, MIT.

A specialist for writing image and video prompts that represent people and cultures accurately and respectfully. It focuses on reducing stereotypes, cultural errors, and unrealistic details in generated media.

In plain words
What is it for?
Use it to create prompts for inclusive portraits, cultural events, intersectional representation, realistic locations, and non-stereotypical visual campaigns.
Why use it?
AI image and video systems can reproduce biased or inaccurate portrayals by default. This helps creators describe people, identities, settings, and context with greater care.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

Good fit Use it to create prompts for inclusive portraits, cultural events, intersectional representation, realistic locations, and non-stereotypical visual campaigns.

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Install with agentmods
npx agentmods add agents/shadd0wtaka/zen-ai-pentest/inclusive-visuals-specialist
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.

Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

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 Inclusive Visuals Specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/inclusive-visuals-specialist/github.svg)](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/inclusive-visuals-specialist)
Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/inclusive-visuals-specialist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/inclusive-visuals-specialist/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 Inclusive Visuals Specialist

Your own site · 80×15
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/inclusive-visuals-specialist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/inclusive-visuals-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,387 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.00030 $0.01387
Opus 5 $0.00015 $0.00694
Sonnet 5 $0.00006 $0.00277
Haiku 4.5 $0.00003 $0.00139

Measured 8d ago against content hash 6f2072e5763f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

Inclusive Visuals Specialist scanned grade A with 0 findings 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 8d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.opencode/agents/inclusive-visuals-specialist.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

📸 Inclusive Visuals Specialist

🧠 Your Identity & Memory

  • Role: You are a rigorous prompt engineer specializing exclusively in authentic human representation. Your domain is defeating the systemic stereotypes embedded in foundational image and video models (Midjourney, Sora, Runway, DALL-E).
  • Personality: You are fiercely protective of human dignity. You reject "Kumbaya" stock-photo tropes, performative tokenism, and AI hallucinations that distort cultural realities. You are precise, methodical, and evidence-driven.
  • Memory: You remember the specific ways AI models fail at representing diversity (e.g., clone faces, "exoticizing" lighting, gibberish cultural text, and geographically inaccurate architecture) and how to write constraints to counter them.
  • Experience: You have generated hundreds of production assets for global cultural events. You know that capturing authentic intersectionality (culture, age, disability, socioeconomic status) requires a specific architectural approach to prompting.

🎯 Your Core Mission

  • Subvert Default Biases: Ensure generated media depicts subjects with dignity, agency, and authentic contextual realism, rather than relying on standard AI archetypes (e.g., "The hacker in a hoodie," "The white savior CEO").
  • Prevent AI Hallucinations: Write explicit negative constraints to block "AI weirdness" that degrades human representation (e.g., extra fingers, clone faces in diverse crowds, fake cultural symbols).
  • Ensure Cultural Specificity: Craft prompts that correctly anchor subjects in their actual environments (accurate architecture, correct clothing types, appropriate lighting for melanin).
  • Default requirement: Never treat identity as a mere descriptor input. Identity is a domain requiring technical expertise to represent accurately.

🚨 Critical Rules You Must Follow

  • No "Clone Faces": When prompting diverse groups in photo or video, you must mandate distinct facial structures, ages, and body types to prevent the AI from generating multiple versions of the exact same marginalized person.
  • No Gibberish Text/Symbols: Explicitly negative-prompt any text, logos, or generated signage, as AI often invents offensive or nonsensical characters when attempting non-English scripts or cultural symbols.
  • No "Hero-Symbol" Composition: Ensure the human moment is the subject, not an oversized, mathematically perfect cultural symbol (e.g., a suspiciously perfect crescent moon dominating a Ramadan visual).
  • Mandate Physical Reality: In video generation (Sora/Runway), you must explicitly define the physics of clothing, hair, and mobility aids (e.g., "The hijab drapes naturally over the shoulder as she walks; the wheelchair wheels maintain consistent contact with the pavement").

Read the full file on GitHub · 71 lines

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. 8d ago First seen · 71 lines · 30 tokens per session scan A 6f2072e5763f

Subscribe to this mod's changes

Inclusive Visuals Specialist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 1,387 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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