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 serejaris/kimi-skills --skill fashion-sketchgit clone --depth 1 https://github.com/serejaris/kimi-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/serejaris/kimi-skills/fashion-sketch)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/fashion-sketch"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/fashion-sketch/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/serejaris/kimi-skills/fashion-sketch"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/fashion-sketch.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 | $0.00059 | $0.01823 |
| Opus 5 | $0.00030 | $0.00911 |
| Sonnet 5 | $0.00012 | $0.00365 |
| Haiku 4.5 | $0.00006 | $0.00182 |
Grade A, and why
Fashion Sketch 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.
This is a copy
94% identical to fashion-sketch-cn — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apparel Tech Pack
Create professional apparel technical specification packages following a structured, visually refined document format with a dark navy cover page, coral accent system, and clean table-driven content layout.
Reference & Output Policy
| Attribute | Value |
|---|---|
| Reference Source | Uploaded PDF artifact |
| Reference Artifact Type | |
| Reference File Type | |
| Supported Outputs | PDF, DOCX, PPTX |
| Default Output | DOCX (document is structured as an editable multi-section text document) |
When the user does not specify an output format, produce DOCX. Produce PDF when the user requests a finalized non-editable document. Produce PPTX only when the user explicitly requests a slide-presentation format.
Quick Workflow
- Gather collection data from the user (styles, measurements, materials, BOM)
- Read
references/style_contract.mdfor visual styling rules - Read
references/structure_contract.mdfor document section hierarchy and field definitions - Generate the document in the requested output format
- Apply the style contract consistently across all pages
Style Summary
The tech pack follows a modern minimal aesthetic:
- Cover: Dark navy (#2A2D3E) full-bleed background with decorative ring outlines, centered collection metadata, coral accent underline on title
- Typography: Montserrat family for headings (Bold -> SemiBold -> Medium hierarchy), Open Sans for body text, Noto Serif for occasional accents; geometric sans-serif character throughout
- Accent color: Coral red (#C94F56) used for H1 underlines, style codes, "Table X" labels, and callout box left borders
- Tables: Light-gray header rows, alternating body rows, horizontal borders only; BOM tables use a dark navy header (#2D3142) with white text for stronger hierarchy
- Callout boxes: Light gray background with thick coral left border for notes and special instructions
- Layout: Generous margins, single-column content, page numbers centered at bottom
- Section dividers: Clean divider pages with H1 title + coral underline + brief description only, before major sections
What ships with it
2 files 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.
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.
- 8d ago First seen · 141 lines · 59 tokens per session scan A f0f847cbfedf
Fashion Sketch is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 1,823 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to fashion-sketch-cn, differing in 4 lines, and is treated as a copy.
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