Borrowing it
Nothing to install: this file belongs to JustinPerea/midjourney-cc-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/JustinPerea/midjourney-cc-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/JustinPerea/midjourney-cc-skillWrote 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/instructions/justinperea/midjourney-cc-skill/agents-md)<a href="https://agentmods.dev/instructions/justinperea/midjourney-cc-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/justinperea/midjourney-cc-skill/agents-md/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/instructions/justinperea/midjourney-cc-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/justinperea/midjourney-cc-skill/agents-md.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 | $0.16847 | $0.16847 |
| Opus 5 | $0.08424 | $0.08424 |
| Sonnet 5 | $0.03369 | $0.03369 |
| Haiku 4.5 | $0.01685 | $0.01685 |
Grade A, and why
midjourney-cc-skill AGENTS.md 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.
How it starts
The opening of the file, as written. The whole thing — 1,407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Midjourney Prompt Learning System — Complete Reference
Auto-generated from rules/ directory. Do not edit directly. Regenerate with: ./scripts/build.sh
Core Prompt Engineering
Assessment Scoring Guide
How to score Midjourney outputs on 7 standard dimensions, handle agent confidence levels, and work around known limitations.
Score Scale
| Score | Meaning |
|---|---|
| 0.0-0.2 | Completely wrong / not present |
| 0.3-0.4 | Vaguely there but wrong execution |
| 0.5-0.6 | Partially correct, needs significant work |
| 0.7-0.8 | Close, needs refinement |
| 0.9-1.0 | Nailed it |
Standard Scoring Dimensions (Always Use All 7)
Every iteration must be scored on all 7 dimensions. This ensures batch averages are comparable across iterations and sessions. If a dimension isn't relevant to the intent (e.g., spatial_relationships for a flat graphic), score it 1.0 with a note "not applicable — no spatial element in intent."
| Dimension | Key | What to Assess |
|---|---|---|
| Subject | subject |
Does the main subject/form match intent? |
| Lighting | lighting |
Is the lighting setup correct? (direction, color, intensity, atmosphere) |
| Color | color |
Are the colors, palette, temperature, saturation correct? |
| Mood | mood |
Does the overall feeling/emotion match? |
| Composition | composition |
Is the framing, layout, subject position, depth correct? |
| Material | material |
Are materials, textures, surface qualities correct? |
| Spatial Relationships | spatial |
Are grounding, floating, scale, contact points, physics correct? |
Score JSON format (use this exact structure for every image):
{
"subject": 0.85, "lighting": 0.90, "color": 0.88,
"mood": 0.90, "composition": 0.80, "material": 0.92,
"spatial": 0.75, "avg": 0.86,
"notes": "Concrete observations for each dimension"
}
Agent Confidence Flags
For each dimension, the agent should self-assess confidence. Flag dimensions where confidence is low so the user knows where to focus validation:
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 · 1,407 lines · 16,847 tokens per session scan A eb2ce9e92f9f
midjourney-cc-skill AGENTS.md is an instructions file published in the GitHub repository JustinPerea/midjourney-cc-skill (12 stars, last pushed 7mo ago), licensed MIT. It adds 16,847 tokens to every session, about $0.0842 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 2026-08-31.
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deepseek-harness AGENTS.md
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