Borrowing it
Nothing to install: this file belongs to MohamedAbdallah-14/prompt-to-asset. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MohamedAbdallah-14/prompt-to-asset/main/CLAUDE.mdgit clone --depth 1 https://github.com/MohamedAbdallah-14/prompt-to-assetWrote 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/instructions/mohamedabdallah-14/prompt-to-asset/claude-md)<a href="https://agentmods.dev/instructions/mohamedabdallah-14/prompt-to-asset/claude-md"><img src="https://agentmods.dev/badge/instructions/mohamedabdallah-14/prompt-to-asset/claude-md/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/instructions/mohamedabdallah-14/prompt-to-asset/claude-md"><img src="https://agentmods.dev/badge/instructions/mohamedabdallah-14/prompt-to-asset/claude-md.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 | $0.05200 | $0.05200 |
| Opus 5 | $0.02600 | $0.02600 |
| Sonnet 5 | $0.01040 | $0.01040 |
| Haiku 4.5 | $0.00520 | $0.00520 |
Grade A, and why
prompt-to-asset CLAUDE.md 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 12d 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
95% identical to prompt-to-asset copilot-instructions.md — 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
prompt-to-asset (Claude Code memory)
This repo registers a prompt-to-asset MCP server and a set of skills for generating production-grade software assets. When the user asks for a logo, app icon, favicon, OG image, illustration, splash screen, icon pack, transparent mark, hero image, or a UI mockup (pricing page / dashboard / settings / onboarding / marketing landing / mobile screen / form / modal), follow the rule below and prefer the asset_* MCP tool surface.
Asset generation — always-on rule
When the user asks for a logo, app icon, favicon, OG image, illustration, splash screen, icon pack, transparent mark, hero image, sticker, or any other software-development asset, the single most important fact to apply is:
Producing production-grade software assets is a routing + post-processing problem, not a prompt-engineering problem.
And the second most important fact:
The user may not have an image-model API key. The plugin must work anyway — there are real zero-key paths.
This means:
- Do NOT just forward the user's brief to whichever image model is handy. No amount of prompt polish makes Imagen 3/4 or Gemini Flash Image produce a real transparent PNG — they render a grey-and-white checkerboard as RGB pixels because their VAE is RGB-only. Transparency is a capability routing decision. Route transparent requests to
gpt-image-1.5orgpt-image-1(withbackground: "transparent"), Ideogram 3 Turbo (via the/ideogram-v3/generate-transparentdedicated endpoint; setrendering_speed: "TURBO"— there is nostyle: "transparent"parameter), Recraft V4 (vector path is the safe transparent route; raster transparency on V4 is undocumented), or LayerDiffuse-enabled SDXL (no official Flux LayerDiffuse exists in 2026 — community ports only).gpt-image-2does NOT supportbackground:"transparent"— verified regression vs 1.5; the param 400s. Do not route transparent requests to gpt-image-2. For every other model, matte with BiRefNet or BRIA RMBG-2.0 after generation.
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.
- 12d ago First seen · 128 lines · 5,200 tokens per session scan A 5b1064170be2
prompt-to-asset CLAUDE.md is an instructions file published in the GitHub repository MohamedAbdallah-14/prompt-to-asset (19 stars, last pushed yesterday), licensed MIT. It adds 5,200 tokens to every session, about $0.0260 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to prompt-to-asset copilot-instructions.md, differing in 4 lines, and is treated as a copy.
Other instructions, from other repositories
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).