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 chanshawoh/imageforge-mcp --skill use-imageforge-mcpgit clone --depth 1 https://github.com/chanshawoh/imageforge-mcpWrote 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/chanshawoh/imageforge-mcp/use-imageforge-mcp)<a href="https://agentmods.dev/skills/chanshawoh/imageforge-mcp/use-imageforge-mcp"><img src="https://agentmods.dev/badge/skills/chanshawoh/imageforge-mcp/use-imageforge-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/chanshawoh/imageforge-mcp/use-imageforge-mcp"><img src="https://agentmods.dev/badge/skills/chanshawoh/imageforge-mcp/use-imageforge-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 | $0.00079 | $0.02983 |
| Opus 5.5 | $0.00032 | $0.01193 |
| Sonnet 5.5 | $0.00016 | $0.00597 |
| Haiku 4.5 | $0.00008 | $0.00298 |
Grade A, and why
use-imageforge-mcp 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 1mo 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use ImageForge MCP
Use the configured ImageForge MCP server and its list_image_providers, generate_image, or edit_image tool; the client-side server name may vary by installation. Do not substitute another image-generation tool when ImageForge is available for the requested capability.
Discover ImageForge tools by their tool names and descriptions, including namespaced variants such as imageforge_mcp.generate_image. Do not conclude the server is missing just because it is not named image_generate. If no tools are visible, search the available tool catalog before reporting a connection problem; a skill file alone does not connect an MCP server.
Choose the provider and tool
| User intent | Tool | Provider | Important constraint |
|---|---|---|---|
| Text-to-image with OpenAI | generate_image |
openai |
Model must work with the configured OpenAI-compatible Images API |
| Text-to-image with Zhipu | generate_image |
zhipu |
Text prompt only |
| Text-to-image with MiniMax | generate_image |
minimax |
JPEG output; known models include image-01 and image-01-live |
| Generate from reference images | generate_image with reference_images |
openai or minimax |
OpenAI: 1–16; MiniMax: one PNG/JPEG subject reference under 10 MB |
| Edit existing images | edit_image with input_images |
OpenAI only | Zhipu and MiniMax editing are not implemented |
| Request Zhipu watermark behavior | generate_image with watermark_enabled |
zhipu |
false may require account authorization |
| Request MiniMax watermark behavior | generate_image with watermark_enabled |
minimax |
Maps to aigc_watermark |
Additional provider IDs are google, xai, stability, ideogram, recraft, tencent, baidu, playground, bfl, luma, krea, runway, leonardo, bria, freepik, alibaba, volcengine, kling, and hidream. Call list_image_providers before using one of them for known models, built-in defaults, adapter reference modes and limits, credential environment variables, and live-verification status. Its models list is informational, not an allowlist; model_allowlist_enforced is false. Model availability and API compatibility are determined by the configured provider.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed 06bd51d44b4b
- 1mo ago Changed · +3 lines · -5 tokens per session ae9a3238f97c
- 2mo ago First seen · 217 lines · 84 tokens per session scan A 055fdbe4c10c
use-imageforge-mcp is a skill published in the GitHub repository chanshawoh/imageforge-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 2,983 once invoked, about $0.0003 per session on Opus 5.5. 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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