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 G1Joshi/Agent-Skills --skill midjourneygit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/midjourney)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/midjourney"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/midjourney/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/g1joshi/agent-skills/midjourney"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/midjourney.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 | $0.00016 | $0.00316 |
| Opus 5 | $0.00008 | $0.00158 |
| Sonnet 5 | $0.00003 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
midjourney 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 10d 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.
What it actually says
Midjourney
Midjourney is a closed-source image generator known for its artistic quality and distinct "Midjourney Look". v7 (2025) adds 3D modeling and higher photorealism.
When to Use
- Marketing/Art: Unbeatable aesthetic quality out of the box.
- Ideation: Rapidly generating mood boards.
- Web Interface: Now usable via web (no longer Discord-only).
Core Concepts
Parameters
--ar 16:9 (Aspect Ratio), --stylize 100, --niji (Anime style).
Zoom / Pan / Vary
In-painting and out-painting features to edit generated images.
Character Reference (--cref)
Keep the same character face across different images.
Best Practices (2025)
Do:
- Use the Web Editor: Much better than Discord for editing/masking.
- Use Style References (
--sref): Pass an image URL to copy its art style. - Use Permutations: Generate 4 variations of a prompt with
{red, blue}syntax.
Don't:
- Don't use for text: While v7 is better, SD3/Flux are often better for strict text rendering.
References
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.
- 10d ago First seen · 45 lines · 16 tokens per session scan A 5cd211b94388
midjourney is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 16 tokens to every session and 316 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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9router-image
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Text-to-speech via 9Router /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Hyperbolic / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.
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