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 agentmods add skills/rayan55050/progressive-agent/image_gennpx skills add Rayan55050/progressive-agent --skill image_gengit clone --depth 1 https://github.com/Rayan55050/progressive-agentWrote 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/rayan55050/progressive-agent/image_gen)<a href="https://agentmods.dev/skills/rayan55050/progressive-agent/image_gen"><img src="https://agentmods.dev/badge/skills/rayan55050/progressive-agent/image_gen.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.00318 |
| Opus 5 | $0.00008 | $0.00159 |
| Sonnet 5 | $0.00003 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
image_gen 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 5d 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
Image Generation Skill
Tool: image_gen
Generates images using DALL-E 3. Image is automatically sent as a file after generation.
Parameters
prompt(required) — description of the image. English prompts produce better results with DALL-E.size(optional) —1024x1024(default),1792x1024(landscape),1024x1792(portrait)quality(optional) —standard(default) orhd(costs more, better detail)
Rules
- Translate user's description to English for better DALL-E results, but keep your text response in user's language
- Be creative with the prompt — add details, style, lighting, mood
- If user gives a vague request, ask for clarification or enhance the prompt yourself
- After generation, briefly describe what was created
- One image per request (DALL-E 3 limitation)
- The image is sent automatically — do NOT call file_send separately
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.
- 5d ago First seen · 37 lines · 15 tokens per session scan A 8d7819dc813d
image_gen is a skill published in the GitHub repository Rayan55050/progressive-agent (2 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 318 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 2026-08-31.
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