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 OpenClaudia/openclaudia-skills --skill ai-image-gengit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/ai-image-gen)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/ai-image-gen"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/ai-image-gen/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/openclaudia/openclaudia-skills/ai-image-gen"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/ai-image-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00043 | $0.01294 |
| Opus 5 | $0.00022 | $0.00647 |
| Sonnet 5 | $0.00009 | $0.00259 |
| Haiku 4.5 | $0.00004 | $0.00129 |
Grade A, and why
generate-image 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 12d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Image Generation
Generate images from text prompts using OpenAI GPT Image (gpt-image-2 / gpt-image-1 / variants) or Stability AI (SD 3.5 Large).
Tool Location
- Script:
~/.agents/tools/generate-image.py - Env file:
~/.agents/tools/.env(containsOPENAI_API_KEYandSTABILITY_API_KEY)
Available OpenAI image models (verified live via /v1/models 2026-05-15)
| Model ID | Notes |
|---|---|
gpt-image-2 |
Flagship. Released 2026-04-21. Best prompt adherence, best photorealism. Default when image quality matters. |
gpt-image-2-2026-04-21 |
Pinned dated variant of gpt-image-2 |
gpt-image-1.5 |
Intermediate release between 1 and 2 |
gpt-image-1-mini |
Smaller/cheaper gpt-image-1 variant — use for batch/draft generation where cost matters |
gpt-image-1 |
Original gpt-image. Still works; superseded by gpt-image-2. |
chatgpt-image-latest |
Always-current alias of the model ChatGPT.com uses (currently gpt-image-2-class). Use when you want "whatever ChatGPT uses today" |
dall-e-3 |
Legacy fallback. Different quality semantics (standard/hd, not low/medium/high). |
Pass any of these to --model. The script branches on gpt-image* for the quality/format handling, so all gpt-image-* variants work out of the box.
Default in the script is now gpt-image-2 (the flagship) — pass --model gpt-image-1-mini for cheap batch/draft work.
Quick Usage
Generate with OpenAI gpt-image-2 (flagship)
python ~/.agents/tools/generate-image.py \
--prompt "a sunset over mountains, oil painting style" \
--output ./sunset.png \
--model gpt-image-2 \
--quality high
Generate with default (gpt-image-2)
python ~/.agents/tools/generate-image.py \
--prompt "a sunset over mountains, oil painting style" \
--output ./sunset.png
High quality
python ~/.agents/tools/generate-image.py \
--prompt "modern logo design for a tech company" \
--output ./logo.png \
--size 1024x1024 \
--quality high
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.
- 12d ago First seen · 138 lines · 43 tokens per session scan A 78549be87304
generate-image is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 1,294 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 2026-08-30.
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