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.
npx skills add ratnesh-maurya/cursor-claude-personas --skill vizcomgit clone --depth 1 https://github.com/ratnesh-maurya/cursor-claude-personasWrote 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.
[](https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/vizcom)<a href="https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/vizcom"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/vizcom/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.
<a href="https://agentmods.dev/skills/ratnesh-maurya/cursor-claude-personas/vizcom"><img src="https://agentmods.dev/badge/skills/ratnesh-maurya/cursor-claude-personas/vizcom.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00476 |
| Opus 5 | $0.00010 | $0.00238 |
| Sonnet 5 | $0.00004 | $0.00095 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
vizcom 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 7d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- vizcom — 97% identical, 21 lines differ
What it actually says
Vizcom Skill
Vizcom is an AI-driven platform designed to accelerate the ideation and rendering process, turning rough inputs into breathtaking visualizations.
Context
Use this skill when tasked with creating photorealistic renders from rough sketches or line art, exploring aesthetic variations of a physical product concept, or generating high-fidelity 3D-like visualizations.
When to Use
Trigger this skill when:
- Designing physical products (furniture, electronics, transportation, consumer goods).
- A user provides a sketch or a description of a product and needs a professional, awe-inspiring render.
- Generating "mood" or "concept" imagery for hardware or tangible UI projects.
Execution Workflow
- Analyze Input: Identify if the user has provided a sketch, a 3D model screenshot, or a text description.
- Define Style: Choose a specific Render Style (e.g.,
Photorealisticfor final visuals,Refineto iterate and improve quality). - Draft Premium Prompt: Formulate precise prompts. Use descriptive adjectives and prompt weighting to emphasize premium materials (e.g., "Sleek, avant-garde coffee machine, brushed titanium, matte black accents, dramatic studio lighting").
- Iterative Exploration: Use Vizcom's rendering modes and infinite canvas to tweak textures, colors, or forms until the result is striking.
- Finalize: Present the high-fidelity render.
Strict Rules
- ABSOLUTE MANDATE: Agents MUST utilize this skill to build modern, creative, and visually stunning designs. DO NOT build in common or generic styles. Avoid safe, boring product shapes.
- Material Precision: Always specify rich textures (e.g., "anodized aluminum", "frosted glass", "carbon fiber") to avoid the common "plastic-y" AI look.
- Lighting is Key: Always include lighting directions in the prompt (e.g., "cinematic lighting", "high contrast shadows") to elevate the visual impact.
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.
- 7d ago First seen · 38 lines · 20 tokens per session scan A 74bfd6da6861
vizcom is a skill published in the GitHub repository ratnesh-maurya/cursor-claude-personas (8 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 476 once invoked, about $0.0001 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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