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/1a7432/loreweaver/image-gennpx skills add 1A7432/loreweaver --skill image-gengit clone --depth 1 https://github.com/1A7432/loreweaverWrote 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/1a7432/loreweaver/image-gen)<a href="https://agentmods.dev/skills/1a7432/loreweaver/image-gen"><img src="https://agentmods.dev/badge/skills/1a7432/loreweaver/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 | $0.00027 | $0.00334 |
| Opus 5 | $0.00014 | $0.00167 |
| Sonnet 5 | $0.00005 | $0.00067 |
| Haiku 4.5 | $0.00003 | $0.00033 |
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 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
Use generate_image sparingly when a single visual handout would clarify or heighten a moment:
- a new scene or location is established
- an important NPC appears for the first time
- the party receives a key item, clue, document, or visual handout
Frequency discipline:
- at most one generated image per scene
- do not call repeatedly to iterate or polish
- do not interrupt action scenes just to add decoration
Information discipline:
The prompt is sent to an external service, and the image is visible to the whole table. Include only facts the players already know. Do not include keeper-only secrets, hidden rooms, unrevealed monsters, culprit identities, trap truths, private NPC motives, or any other future reveal.
Call generate_image with:
prompt: a concise player-safe image promptkind:scene,portrait, oritemcaption: optional short caption you may narrate after the image appears
After the tool sends the handout, continue the scene naturally. Do not describe the tool call or the API.
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 · 43 lines · 27 tokens per session scan A 18ae779ec94f
Image generation is a skill published in the GitHub repository 1A7432/loreweaver (49 stars, last pushed 3d ago), licensed MIT. It adds 27 tokens to every session and 334 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 2026-08-30.
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