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 wecode-ai/Wegent --skill wegent-image-generationgit clone --depth 1 https://github.com/wecode-ai/WegentWrote 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/wecode-ai/wegent/wegent-image-generation)<a href="https://agentmods.dev/skills/wecode-ai/wegent/wegent-image-generation"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/wegent-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/wecode-ai/wegent/wegent-image-generation"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/wegent-image-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.00289 |
| Opus 5.5 | $0.00011 | $0.00116 |
| Sonnet 5.5 | $0.00006 | $0.00058 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
wegent-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 1mo 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
Call generate_image when the user asks for an image.
- Put the complete visual description in
prompt. - Use
reference_imagesonly when the user supplied image attachments or URLs. - Pass attachment IDs, public HTTP/HTTPS URLs, or base64 data URLs, not local sandbox paths.
- For uploaded or previously generated images, pass attachment IDs. Do not pass Wegent
attachment download URLs or relative
/api/attachments/...paths as remote references. - Default to one image unless the user explicitly asks for multiple images.
- The tool saves generated images as task attachments and returns image blocks. Do not create a duplicate card.
- If the tool returns
error, explain it once and do not retry unchanged parameters.
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.
- 1mo ago Changed · +3 lines 74abfcdfba75
- 1mo ago First seen · 27 lines · 28 tokens per session scan A ad8628cceab1
wegent-image-generation is a skill published in the GitHub repository wecode-ai/Wegent (878 stars, last pushed today), licensed Apache-2.0. It adds 28 tokens to every session and 289 once invoked, about $0.0001 per session on Opus 5.5. 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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