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/skills/asset-enhancer/SKILL.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/skills/mohamedabdallah-14/prompt-to-asset/asset-enhancer)<a href="https://agentmods.dev/skills/mohamedabdallah-14/prompt-to-asset/asset-enhancer"><img src="https://agentmods.dev/badge/skills/mohamedabdallah-14/prompt-to-asset/asset-enhancer/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/mohamedabdallah-14/prompt-to-asset/asset-enhancer"><img src="https://agentmods.dev/badge/skills/mohamedabdallah-14/prompt-to-asset/asset-enhancer.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 | $0.00088 | $0.04712 |
| Opus 5 | $0.00044 | $0.02356 |
| Sonnet 5 | $0.00018 | $0.00942 |
| Haiku 4.5 | $0.00009 | $0.00471 |
Grade B, and why
asset-enhancer scanned grade B with 1 finding 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 13d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
↓ if external: show prompt + paste_targets; wait for asset_ingest_external How it starts
The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
asset-enhancer skill
Comprehensive behavior spec for producing production-grade software-development assets. Drives every asset_* MCP tool.
Cardinal rules
- Producing production-grade software assets is a routing + post-processing problem, not a prompt-engineering problem.
- The user may not have an image-model API key. The plugin must work anyway.
- There are real zero-key and free-token paths — always surface them first before asking the user to pay for anything. The
free_api.routesblock inasset_capabilities()enumerates the ranked free programmatic routes: Cloudflare Workers AI (Flux-1-Schnell + SDXL, 10k neurons/day), NVIDIA NIM (Flux / SDXL / SANA, 1k requests/month withNVIDIA_API_KEY, no card), HF Inference (freeHF_TOKEN), Stable Horde (anonymous queue), Pollinations (zero-signup HTTP, last resort), and local ComfyUI. Google's Gemini / Imagen image API is paid for programmatic image output — unbilledGEMINI_API_KEY→ HTTP 429,limit: 0. The AI Studio web UI at https://aistudio.google.com is still free for interactive generation — treat it as a paste-only flow (external_prompt_only→asset_ingest_external).
See rules/asset-enhancer-activate.md for the condensed always-on version. This file is the long-form spec.
Three execution modes
Before generating anything, decide (with the user) which mode to use. Call asset_capabilities() to learn what's available in the current environment.
1. inline_svg — zero key, Claude writes the SVG, server persists
Two-step round trip:
- The server returns an
svg_brief(viewBox, palette, path budget, style hints, skeleton) andinstructions_to_host_llm. You emit the<svg>…</svg>inline in your reply as a ```svg code block so the user can see it. - Immediately after emitting, call
asset_save_inline_svg({ svg, asset_type }). The server validates the SVG against the brief (viewBox,<path>count, palette), writesmaster.svgto disk, and — for favicon / app_icon — runs the full platform export (favicon.ico + apple-touch-icon + PWA 192/512/512-maskable; or AppIconSet + Android adaptive + PWA). Returns anAssetBundlewithvariants[].path. Show those paths to the user.
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.
- 13d ago First seen · 285 lines · 88 tokens per session scan B 37f50fe36cd9
asset-enhancer is a skill published in the GitHub repository MohamedAbdallah-14/prompt-to-asset (19 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 4,712 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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