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 Negai-ai/AgentClaw --skill image-generationgit clone --depth 1 https://github.com/Negai-ai/AgentClawWrote 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/negai-ai/agentclaw/image-generation)<a href="https://agentmods.dev/skills/negai-ai/agentclaw/image-generation"><img src="https://agentmods.dev/badge/skills/negai-ai/agentclaw/image-generation/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/negai-ai/agentclaw/image-generation"><img src="https://agentmods.dev/badge/skills/negai-ai/agentclaw/image-generation.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 Data Exfiltration · line 71 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00058 | $0.01692 |
| Opus 5 | $0.00029 | $0.00846 |
| Sonnet 5 | $0.00012 | $0.00338 |
| Haiku 4.5 | $0.00006 | $0.00169 |
Grade A, and why
image-generation 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 9d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Generation Skill
Use this skill for image creation and image editing work that should call an image provider API and save usable raster files.
Provider Selection
Current complete provider:
- OpenAI GPT Image Image API: read
references/openai.md; usescripts/openai_generate_image.pyfor repeatable command-line generation and editing. This runner also accepts an OpenAI-compatiblebase_urlfor GPT Image compatible providers. - Nano Banana image generation: read
references/nano_banana.md; usescripts/nano_banana_generate_image.pyfor Nano Banana 2, Nano Banana Pro, and Nano Banana generation/editing. - Seedream image generation on Volcengine Ark: read
references/seedream.md; usescripts/seedream_generate_image.pyfor Seedream 5 text-to-image, image-to-image, coherent image groups, streaming, and web search.
Reserved provider integration:
- Future providers should add one
references/<provider>.mdfile and onescripts/<provider>_generate_image.pyrunner followingreferences/provider_contract.md.
Workflow
- Capture the visual brief: subject, style, composition, aspect ratio, output count, quality, format, destination folder, and any reference images.
- Pick the provider. OpenAI is the supported default in this skill.
- Check the provider API key before calling the script. If the key is missing, tell the user the exact variable to configure; after the user provides or confirms the key, write/update it in the project
.envand update the current temporary environment before retrying. - Read the matching provider reference when API parameters, edits, masks, streaming, or model limits matter.
- Use the provider script for deterministic file output when possible; otherwise write a small one-off call using the same output contract.
- Save generated files to the requested path, or to
generated_imageswhen no path is specified. - Return the saved file paths,
output_dir, provider/model, size/quality/format, revised prompt when available, and any provider response ID. For user-visible Markdown images, use browser-safe URLs only; if the script returns localoutput_paths, callcreate_download_urlfor each image and use the returned URL instead of embedding local paths.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 154 lines · 58 tokens per session scan A b8086b95cda7
image-generation is a skill published in the GitHub repository Negai-ai/AgentClaw (342 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,692 once invoked, about $0.0003 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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