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/fusedio/fused-render/fused-render-ainpx skills add fusedio/fused-render --skill fused-render-aigit clone --depth 1 https://github.com/fusedio/fused-renderWrote 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/fusedio/fused-render/fused-render-ai)<a href="https://agentmods.dev/skills/fusedio/fused-render/fused-render-ai"><img src="https://agentmods.dev/badge/skills/fusedio/fused-render/fused-render-ai.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 | $0.00031 | $0.02600 |
| Opus 5 | $0.00015 | $0.01300 |
| Sonnet 5 | $0.00006 | $0.00520 |
| Haiku 4.5 | $0.00003 | $0.00260 |
Grade A, and why
fused-render-ai 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 today.
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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fused.ai
Five verbs, one options object each, one shared result frame. fused.ai(prompt) / fused.ai.text("hi") don't exist — always fused.ai.text({prompt}).
Result frame, every verb: {<payload>, provider, finishReason, warnings, usage, response: {id, modelId, timestamp}, providerMetadata}. Read response.modelId (no top-level model), usage.inputTokens (camelCase, or null), providerMetadata.local for seed/sizes/paths. Never echo own request as caption.
| Verb | Required | Payload |
|---|---|---|
text({prompt}) |
prompt | text |
image({prompt}) |
prompt | images: [{path, url, mediaType}] |
video({prompt}) |
prompt | videos: [...] |
transcribe({path}) |
path | text, segments: [{text, startSecond, endSecond, speaker?, words?}], language, durationInSeconds |
embed({texts}) |
texts or paths | embeddings: number[][] (unit-length → cosine = dot) |
Universal rules:
- Options closed — unknown key rejects
bad_requestbefore any request. provider,model,abortSignaleverywhere;onChunk= streaming (text, transcribe);onProgress(job)= job row (image, video, transcribe).- Relative file paths resolve beside page.
- Rejections: Error with
.type(+.jobIdwhen job existed) — table below. - Calls run concurrent — disable buttons in flight (image/video/transcribe serialize silently server-side).
- Needs a local runtime, so it depends on WHICH export. Hosted export refuses any page containing the literal text
fused.ai.text(—fused.envguard does NOT help; other verbs pass the check, then fail served. Only there is a local-only companion page the answer. A.fusedapp file deliberately allowsfused.ai.text((D388): it opens inside the recipient's own fused-render, and one without claude or a local model just gets theai_unavailablerejection you already handle.
Provider / model
Three tiers. provider: "local" | "apple" | "claude" pins; omitted → model decides: pinned apple ids (afm-text, afm-speech, afm-embedding) → apple; id with / or .gguf → local; "sonnet"/"opus"/claude-*/omitted → Claude CLI (text only; default tier haiku unless configured). {provider: "apple"} with no model = the tier's one id for the verb; a pinned id under another provider = bad_request. image/video = local-only (apple rejects unavailable: no programmatic image model on macOS). transcribe = local or apple. embed = local (apple unavailable in this build). Take local ids from fused.ai.models.catalog(), treat as opaque — never hardcode, never split("/"); apple ids are the three literals above and never appear in the catalog.
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.
- today Changed · +2 lines 7d1ce63b7737
- yesterday Changed · -695 lines · -41 tokens per session ae2322bf8520
- 5d ago First seen · 775 lines · 72 tokens per session scan A d8427ee0f299
fused-render-ai is a skill published in the GitHub repository fusedio/fused-render (11 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 2,600 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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