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/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/dreamshot-io/mcp-server/claude"><img src="https://agentmods.dev/badge/skills/dreamshot-io/mcp-server/claude.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 | $0.00000 | $0.01198 |
| Opus 5.5 | $0.00000 | $0.00479 |
| Sonnet 5.5 | $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 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 — 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.
- 2mo 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 9mo 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.
claude compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| claudeDreamshot-io/mcp-server | Skill | 0 | 9mo ago | MIT | A | 0 | 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 | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |