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 8ix/neurodiverse-claude-skills --skill visualisergit clone --depth 1 https://github.com/8ix/neurodiverse-claude-skillsWrote 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/8ix/neurodiverse-claude-skills/visualiser)<a href="https://agentmods.dev/skills/8ix/neurodiverse-claude-skills/visualiser"><img src="https://agentmods.dev/badge/skills/8ix/neurodiverse-claude-skills/visualiser/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/8ix/neurodiverse-claude-skills/visualiser"><img src="https://agentmods.dev/badge/skills/8ix/neurodiverse-claude-skills/visualiser.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 | $0.00123 | $0.02160 |
| Opus 5 | $0.00062 | $0.01080 |
| Sonnet 5 | $0.00025 | $0.00432 |
| Haiku 4.5 | $0.00012 | $0.00216 |
Grade A, and why
visualiser 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visualiser
A skill that takes any document, letter, specification, or chunk of information and renders it as a visual output — not a summary, not a list, but an actual rendered visual the user can scan at a glance.
This skill always outputs a visual. No exceptions. If the user triggered this skill, they want to see something, not read something.
Foundational Rule — No Bias, No Assumptions
This skill is a renderer, not an analyst. It presents information from the source in a different format. It never adds to it.
Strictly forbidden:
- Adding information not present in the source
- Filling gaps where the source is silent — if something is not stated, say "not stated"
- Making assumptions about what something probably means
- Inferring consequences, costs, or outcomes not explicitly mentioned
- Indicating preference in comparison mode — no winners, no recommendations
- Adding context from outside the document
- Offering opinions on the content in any form
If the source document highlights something, that is represented faithfully. The skill adds nothing of its own. The visual is a different shape for the same information — nothing more.
Step 1 — Silent Risk Assessment
Read the full content. Do not comment on it. Run the risk assessment silently. The assessment determines the mode.
Score the content against these factors:
| Factor | Question |
|---|---|
| Required action | Does this require the user to do something? |
| Deadline | Is there a date by which something must happen? |
| Financial impact | Does this involve money, charges, or costs? |
| Consequence of inaction | What happens if this is ignored? |
| Multiple options | Does this present two or more things to choose between? |
| Sequence or process | Is the content ordered in steps or stages? |
| Components of a total | Does a number or amount need breaking down? |
| Connections between things | Do people, systems, or entities relate to each other? |
| Status of something in progress | Is this reporting where something has got to? |
| General information | None of the above — content is informational only |
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.
- 11d ago First seen · 187 lines · 123 tokens per session scan A 91906f4225fb
visualiser is a skill published in the GitHub repository 8ix/neurodiverse-claude-skills (6 stars, last pushed 5mo ago), licensed MIT. It adds 123 tokens to every session and 2,160 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
video-shotcraft
Create cinematic product videos from shot recipe cards, a validated template, and code/audio assets (Remotion + real page screenshots + 2.5D camera moves + beat-synced cuts + sound design). Use when the user asks to turn a frontend project or webpage into a product video, says "use video-shotcraft to make a…
meshy-3d-generation
Generate 3D models, textures, images, rig characters, and animate them using the Meshy AI API. Handles API key detection, setup, and all generation workflows via direct HTTP calls. Use when the user asks to create 3D models, convert text/images to 3D, texture models, rig or animate characters, or interact with the…
meshy-openclaw
Generate 3D models, textures, images, rig characters, animate them, and prepare for 3D printing using the Meshy AI API. Handles API key detection, task creation, polling, downloading, and full 3D print pipeline with slicer integration. Use when the user asks to create 3D models, convert text/images to 3D, texture…
wordpress-ai-image-optimizer
Use when the user says 'optimize my wordpress images with ai', 'compress and optimize all images', 'audit my media library', or 'improve image performance'. Downloads images, compresses, converts to WebP, resizes and renames locally, re-uploads, and updates every content reference.
meshy-3d-printing
3D print models generated with Meshy AI, plus Creative Lab consumer products. Handles slicer detection, white model printing, multi-color printing via API, the Creative Lab pipeline (figure / lamp / keychain / fridge-magnet), and print-optimized download workflows. Use when the user mentions 3D printing, slicing…
media-processor
Specialized visual and multimedia processing tools. Use this skill whenever a task involves complex visual content — UI mockups, dense screenshots, design images, charts, artwork — where precise details like spacing, hex colors, font sizes, and component hierarchy need to be extracted accurately. Also use for…