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 Dreamshot-io/mcp-server --skill claudegit clone --depth 1 https://github.com/Dreamshot-io/mcp-serverWrote 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/dreamshot-io/mcp-server/claude)<a href="https://agentmods.dev/skills/dreamshot-io/mcp-server/claude"><img src="https://agentmods.dev/badge/skills/dreamshot-io/mcp-server/claude.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01198 |
| Opus 5 | $0.00000 | $0.00599 |
| Sonnet 5 | $0.00000 | $0.00240 |
| Haiku 4.5 | $0.00000 | $0.00120 |
Grade A, and why
claude 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 7d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dreamshot AI Generation Skill
Generate professional AI images and videos using Dreamshot's API.
Prerequisites
- Dreamshot API key (
DREAMSHOT_API_KEYenvironment variable) - MCP server installed:
npx @dreamshot/mcp-server
Available Tools
| Tool | Description |
|---|---|
dreamshot_list_tools |
List available tools, variants, and credit costs |
dreamshot_generate |
Start an AI generation (async) |
dreamshot_status |
Check generation status |
dreamshot_media |
Get download URLs for completed generations |
dreamshot_credits |
Check remaining credits |
Common Workflows
Generate an AI-edited image
1. dreamshot_generate(tool: "ai_edit", variant: "ultra", prompt: "product on marble surface", imageUrls: ["https://..."])
2. dreamshot_status(generationId: "...") // Poll until completed
3. dreamshot_media(generationId: "...") // Get download URLs
Generate a video from an image
1. dreamshot_generate(tool: "create_video", model: "google/veo-3.1", prompt: "cinematic pan around product", imageUrls: ["https://..."], duration: 8)
2. dreamshot_status(generationId: "...")
3. dreamshot_media(generationId: "...")
Upscale an image
1. dreamshot_generate(tool: "enhancer", variant: "magnific_precision", imageUrls: ["https://..."])
2. dreamshot_status(generationId: "...")
3. dreamshot_media(generationId: "...")
Tool Reference
ai_edit
Edit images with AI using text prompts.
Variants:
ultra(1 credit) - Best quality, supports model referencesnano(0.5 credits) - Fast, good for iterationsseedream(0.5 credits) - Seedream modelflux(0.5 credits) - FLUX-based editingflux2max(1 credit) - FLUX 2 Max qualitygpt_image_1(1.5 credits) - OpenAI GPT Image
Parameters:
prompt(required): What to generate/editimageUrls: Input images to editaspectRatio: Output aspect ratio (1:1, 16:9, 9:16, etc.)outputCount: 1-4 images
create_video
Generate videos from images and/or prompts.
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.
- 7d ago First seen · 156 lines · 0 tokens per session scan A f4e77145a1dd
claude is a skill published in the GitHub repository Dreamshot-io/mcp-server (0 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,198 tokens. 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 2026-08-31.
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