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 prenats/claude-imagine --skill image-suggestgit clone --depth 1 https://github.com/prenats/claude-imagineWrote 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/prenats/claude-imagine/image-suggest)<a href="https://agentmods.dev/skills/prenats/claude-imagine/image-suggest"><img src="https://agentmods.dev/badge/skills/prenats/claude-imagine/image-suggest/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/prenats/claude-imagine/image-suggest"><img src="https://agentmods.dev/badge/skills/prenats/claude-imagine/image-suggest.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 | $0.00032 | $0.01951 |
| Opus 5 | $0.00016 | $0.00975 |
| Sonnet 5 | $0.00006 | $0.00390 |
| Haiku 4.5 | $0.00003 | $0.00195 |
Grade A, and why
image-suggest 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/image-suggest — Project Image Planning
Analyze a project and produce a prioritized, context-aware set of image recommendations. Optionally generate all images in one go.
When to Activate
User-invoked only — do NOT auto-trigger during coding flow. Use /claude-imagine:image-generate inline instead.
Activate ONLY when the user explicitly:
- Asks "what images do I need?" or wants image recommendations
- Requests a visual asset plan or audit
- Runs
/claude-imagine:image-suggestdirectly - Wants to see all needed images before starting a project
Usage
/image-suggest
/image-suggest a SaaS landing page for a project management tool
/image-suggest a construction equipment reseller website
/image-suggest --generate
Argument Parsing
Parse $ARGUMENTS for:
- Project description — free-text description (optional; scans project files if omitted)
--generate— skip confirmation, generate all suggestions immediately--output-dir PATH— base directory for output files. Default:generated/--max NUMBER— maximum suggestions. Default: 6
Workflow
┌─────────────────────────────────────────────────┐
│ 1. UNDERSTAND PROJECT │
│ Scan files or use provided description │
│ Classify into project archetype │
├─────────────────────────────────────────────────┤
│ 2. GENERATE SUGGESTIONS (4-8 images) │
│ Project-specific descriptions, not generic │
│ Priority: must-have → important → nice │
├─────────────────────────────────────────────────┤
│ 3. DISPLAY RECOMMENDATIONS │
│ Formatted list with rationale per image │
│ Ask: "Generate all? (yes / select / no)" │
├─────────────────────────────────────────────────┤
│ 4. GENERATE SELECTED IMAGES │
│ Full /image-generate prompt engineering │
│ per image (150-250 word prompts) │
├─────────────────────────────────────────────────┤
│ 5. SUMMARY REPORT │
│ Paths, dimensions, seeds for reproducibility │
└─────────────────────────────────────────────────┘
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 · 231 lines · 32 tokens per session scan A 8cc23cfbc218
image-suggest is a skill published in the GitHub repository prenats/claude-imagine (1 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 1,951 once invoked, about $0.0002 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.
Other skills, from other repositories
videoagent-image-studio
Tired of juggling 8 API keys? This skill gives you one-command access to Midjourney, Flux, Ideogram, and more, with zero setup. Use when you want to generate any image without worrying about API keys.
flux-3-product-ads
Use when building a finished product ad from FLUX 3 - shot design, voiceover, action-to-word sync, evidence-gated copy, deterministic assembly, and QC gates that catch clipped audio, floating products, off-model plates, and reports that claim a pass the build did not give.
idea-generator
Brainstorm and rank iOS/macOS app ideas tailored to developer skills. Use when user says "what should I build", "give me app ideas", "I don't know what to build", "brainstorm app ideas", or "help me find an app idea".
milestone-celebration
Generates achievement celebration UI with confetti animations, badge unlocks, progress milestones, haptic feedback, and optional share-to-social. Use when user wants to celebrate achievements, show confetti, display milestone badges, or trigger rewards on key thresholds.
watermark-engine
Generates a watermark overlay system for images and video with configurable positioning, opacity, tiling, and paywall integration for automatic removal on subscription or purchase. Use when user wants to add branding, attribution, or free-tier watermarks to visual content.
bfl-api
BFL FLUX API integration guide covering endpoints, async polling patterns, rate limiting, error handling, webhooks, and regional endpoints with Python and TypeScript code examples.