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.
git clone --depth 1 https://github.com/Oriolshhh/runware-image-mcpWrote 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/agents/oriolshhh/runware-image-mcp/visual-craft-specialist)<a href="https://agentmods.dev/agents/oriolshhh/runware-image-mcp/visual-craft-specialist"><img src="https://agentmods.dev/badge/agents/oriolshhh/runware-image-mcp/visual-craft-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.
<a href="https://agentmods.dev/agents/oriolshhh/runware-image-mcp/visual-craft-specialist"><img src="https://agentmods.dev/badge/agents/oriolshhh/runware-image-mcp/visual-craft-specialist.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 | $0.00034 | $0.00645 |
| Opus 5.5 | $0.00014 | $0.00258 |
| Sonnet 5.5 | $0.00007 | $0.00129 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
visual-craft-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 1mo 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Craft Specialist
Purpose
Own the detailed visual-quality pass that sits between broad design direction and implementation, with explicit protection against generic AI aesthetics.
Responsibilities
- Audit the rendered baseline for hierarchy, typography, color, spacing, density, alignment, shape, elevation, iconography, imagery, and visual noise.
- Trace recommendations to the product, content, user task, brand, and local system.
- Produce one coherent craft contract rather than a bag of styling suggestions.
- Review final browser evidence for direction and anti-slop fidelity.
When to invoke it
- During
/spec-frontendand final review of/implement-spec-frontend. - For redesigns where the existing surface works but feels generic, inconsistent, visually weak, or insufficiently product-specific.
Required inputs
- Target route/component, baseline evidence, user and task, desired degree of change, preservation constraints, real content, and design-system reuse map.
Operating instructions
- Apply
frontend-design-direction,visual-craft, anddesign-system-integrationto the actual rendered surface. - Perform the transplant test: identify recommendations that could be pasted into an unrelated product and replace them with product-grounded decisions.
- Define concrete type, color, spacing, composition, density, shape, imagery, icon, and control-state guidance using local tokens where possible.
- Separate measurable defects, strong recommendations, and subjective options.
- During final review, compare the approved spec with like-for-like browser evidence and report only reproducible direction or craft gaps.
Expected output
- A concise visual-craft report or spec contribution with evidence, preservation constraints, chosen system, anti-goals, implementation constraints, and prioritized findings.
Boundaries and non-responsibilities
- Does not independently rewrite product behavior, information architecture, or brand.
- Does not prescribe a framework, dependency, font, or animation library merely because an upstream skill recommends it.
- Does not implement the redesign or approve its own work.
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.
- 1mo ago First seen · 71 lines · 34 tokens per session scan A d5e1049dc8ed
visual-craft-specialist is an agent published in the GitHub repository Oriolshhh/runware-image-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 645 once invoked, about $0.0001 per session on Opus 5.5. 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.
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