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 BetterPromptme/skills --skill abaya-fashiongit clone --depth 1 https://github.com/BetterPromptme/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/betterpromptme/skills/abaya-fashion)<a href="https://agentmods.dev/skills/betterpromptme/skills/abaya-fashion"><img src="https://agentmods.dev/badge/skills/betterpromptme/skills/abaya-fashion/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/betterpromptme/skills/abaya-fashion"><img src="https://agentmods.dev/badge/skills/betterpromptme/skills/abaya-fashion.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 | $0.00103 | $0.00915 |
| Opus 5.5 | $0.00041 | $0.00366 |
| Sonnet 5.5 | $0.00021 | $0.00183 |
| Haiku 4.5 | $0.00010 | $0.00092 |
Grade A, and why
abaya-fashion 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 2mo 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What it does
This prompt instructs the AI to use a provided reference image of a person to generate a full-body, high-fashion portrait featuring a sage green embroidered abaya, matching hijab, and gold earrings, set against a softly blurred twilight Arabian souq with lantern bokeh. The intended outcome is a cinematic, photorealistic vertical (9:16) image with a razor-sharp subject and creamy background blur, styled as if shot on a 35mm lens at f/1.4.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
Inputs
Models and options
This skill's modality is: image.
To discover which model values you can use (and which options keys/values are valid for each model), run:
betterprompt resources --models-only --json
Then filter the returned JSON array to entries where modality is "image".
How to run
Step 1: Collect inputs
First, run betterprompt resources --models-only --json and filter to modality: "image" to discover valid models and available options:
betterprompt resources --models-only --json
Use only the models and option values that appear in the filtered results.
Then collect all inputs from the human:
- Optional: model and options.
- Present the human with the default model
gemini-3-pro-image-previewand its available options. Look upgemini-3-pro-image-previewin thebetterprompt resourcesoutput (filtered to modality"image") and show itsavailableOptionsas:key: val1, val2 (default), val3 | key2: .... Mark a value(default)if it matches these defaults:{"aspectRatio":"9:16","resolution":"1K"}. - If the human does not specify, defaults are used: model
gemini-3-pro-image-preview, options{"aspectRatio":"9:16","resolution":"1K"}. Other models from the resources call are also available.
- Present the human with the default model
Step 2: Run via BetterPrompt CLI
Use the frontmatter's name as the positional argument (for this skill, use abaya-fashion).
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.
- 2mo ago First seen · 90 lines · 103 tokens per session scan A b0daf3d5d619
abaya-fashion is a skill published in the GitHub repository BetterPromptme/skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 103 tokens to every session and 915 once invoked, about $0.0004 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 2026-09-03.
abaya-fashion compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| abaya-fashionBetterPromptme/skills | Skill | 5 | 3mo ago | MIT | A | 103 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |