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 krusemediallc/cursor-ad-agent --skill image-ad-clone-arcads-mcpgit clone --depth 1 https://github.com/krusemediallc/cursor-ad-agentWrote 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/krusemediallc/cursor-ad-agent/image-ad-clone-arcads-mcp)<a href="https://agentmods.dev/skills/krusemediallc/cursor-ad-agent/image-ad-clone-arcads-mcp"><img src="https://agentmods.dev/badge/skills/krusemediallc/cursor-ad-agent/image-ad-clone-arcads-mcp/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/krusemediallc/cursor-ad-agent/image-ad-clone-arcads-mcp"><img src="https://agentmods.dev/badge/skills/krusemediallc/cursor-ad-agent/image-ad-clone-arcads-mcp.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 | $0.00104 | $0.02459 |
| Opus 5 | $0.00052 | $0.01229 |
| Sonnet 5 | $0.00021 | $0.00492 |
| Haiku 4.5 | $0.00010 | $0.00246 |
Grade A, and why
image-ad-clone-arcads-mcp scanned grade A 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| curl auth / `.env` + `generate_image.py` validation | `arcads_generate_image_gpt` **or** `arcads_generate_image_nano_banana` | How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
image-ad-clone (Arcads MCP)
Reverse-engineer an existing image ad the user provides into a reusable,
parameterizable template (with {placeholders}), validated by generating it
through the Arcads MCP server, then save it to the shared prompt library.
This is the MCP-native version of image-ad-clone. The teardown/templating brain
is unchanged; only the validation round-trip swaps from REST to MCP — no .env, no
generate_image.py, no presigned-upload scripts.
REST image-ad-clone step |
MCP replacement |
|---|---|
curl auth / .env + generate_image.py validation |
arcads_generate_image_gpt or arcads_generate_image_nano_banana |
| (manual) describe the source ad | your own image vision (Read the file) or arcads_analyze_media (Gemini) |
| presigned upload + PUT for product refs | arcads_get_upload_url + PUT (explicit — see Uploading) |
GET /v1/assets/{id} polling |
arcads_watch_asset (status and URL in one call) |
| N parallel POSTs | nbGenerations (1–10) in a single call |
Tools used (Arcads MCP)
| Tool | Role |
|---|---|
arcads_analyze_media |
(Optional) Gemini teardown of the source ad — layout, text, hierarchy, palette, style. Returns data.generatedText. |
arcads_generate_image_gpt |
Validate the template on gpt-image-2 (typography / UI-mimicry ads). |
arcads_generate_image_nano_banana |
Validate the template on nano-banana-2 (photoreal / lifestyle / multi-ref ads). |
arcads_get_upload_url |
Presigned S3 URL for the source ad (if analyzing via MCP) and any product reference. |
arcads_watch_asset |
Poll status and fetch the signed downloadUrl. Primary poll tool. |
Read order
- This file — the MCP workflow.
- ../../shared/skills/image-ad-prompting/prompting/template-format.md — the entry skeleton new templates must follow.
- ../../shared/skills/image-ad-prompting/prompting/prompt-library.md — where the finished template is saved; study neighbors for voice + Model-notes format.
- ../../shared/skills/image-ad-prompting/prompting/safety-suffixes.md — guards baked into every template.
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.
- 11d ago First seen · 133 lines · 104 tokens per session scan A bcba2ea1d5d3
image-ad-clone-arcads-mcp is a skill published in the GitHub repository krusemediallc/cursor-ad-agent (10 stars, last pushed 1mo ago), licensed MIT. It adds 104 tokens to every session and 2,459 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
RunAPI Media Generator
A workflow for creating images, videos, music, and audio through RunAPI, a service that provides access to media-generation models. It checks the chosen model and request before submitting the job.
imaginode
Generate AI images and videos through the Imaginode MCP server (imaginode.ai). Use when the user asks to create, generate or illustrate an image, picture, visual, thumbnail, or a short video clip, and the Imaginode MCP tools (generateimage, generatevideo, listmodels, getgenerationstatus) are available.
uni1-image-ad
Use when the user wants to generate a Meta/Facebook image ad with Luma uni-1 and attach it to an existing Meta ad set. Triggers on phrases like "uni-1 ad", "make a Luma ad creative", "new image ad in ", "uni-1 image ad for Meta", "generate uni-1 ad creative", "upload uni-1 image as Meta ad". Anchors on uni-1 + Meta…
image-ad-clone
Use when the user wants to reverse-engineer an existing image ad into a reusable, parameterizable prompt template that can be reused with any brand and any product. Triggers on phrases like "clone this ad as a template", "reverse engineer this ad", "turn this ad into a prompt", "extract a template from this image"…
distribea-media
Generate or place on-brand media (images, video, music, voice) with Distribea. Use whenever a project needs imagery or audio — a hero/illustration/avatar, a page full of placeholders, a video clip, background music, or a voice-over — instead of shipping stock photos, placeholders, CSS-gradient-only sections, or raw…
image-studio
Studio de geracao de imagens inteligente — roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao). Detecta o tipo de imagem solicitada...