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 sutchan/Agent-Skills-Hub --skill ai-model-nodejsgit clone --depth 1 https://github.com/sutchan/Agent-Skills-HubWrote 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/sutchan/agent-skills-hub/ai-model-nodejs)<a href="https://agentmods.dev/skills/sutchan/agent-skills-hub/ai-model-nodejs"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/ai-model-nodejs/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/sutchan/agent-skills-hub/ai-model-nodejs"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/ai-model-nodejs.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00230 | $0.06358 |
| Opus 5 | $0.00115 | $0.03179 |
| Sonnet 5 | $0.00046 | $0.01272 |
| Haiku 4.5 | $0.00023 | $0.00636 |
Grade A, and why
ai-model-nodejs scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Runtimes without a CloudBase SDK (Python, Go, PHP, curl, etc.) → use the `http-api-cloudbase` skill (it now includes the `ai_model` OpenAPI spec for direct HTTP calls to the AI model endpoint; do NOT wrap this SDK behi This is a copy
98% identical to ai-model-nodejs — 205 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 452 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sibling skills (local only)
Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.
If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.
When to use this skill
Use this skill for calling AI models from Node.js backends, cloud functions, or CloudRun services via @cloudbase/node-sdk.
🧭 Runtime-plane fit. This is the right skill when the AI call truly belongs on the server: image generation (the only SDK that supports it), long-running agent jobs, orchestration across multiple tools, scheduled tasks, or flows that must keep secrets server-side. If the user is building a Web page / frontend AI chat UI, do NOT wrap this SDK behind a backend proxy — route to
ai-model-weband call the model directly from the browser. For WeChat Mini Programs useai-model-wechat. Routing is decided by runtime plane first; the concrete model (deepseek-*,glm-*,hunyuan-*,kimi-*, …) only affects themodelfield.
Use it when you need to:
- Integrate AI text generation into a backend service
- Generate images with the Hunyuan Image model
- Call AI models from CloudBase cloud functions or CloudRun
- Do server-side AI processing (agent orchestration, batch jobs, scheduled tasks)
Do NOT use for:
- Browser/Web apps → use the
ai-model-webskill - WeChat Mini Program → use the
ai-model-wechatskill - Runtimes without a CloudBase SDK (Python, Go, PHP, curl, etc.) → use the
http-api-cloudbaseskill (it now includes theai_modelOpenAPI spec for direct HTTP calls to the AI model endpoint; do NOT wrap this SDK behind an HTTP proxy)
⛔ STOP — ai.createModel(...) argument is not a vendor / model name
Read this before writing any createModel(...) line. Agents frequently hallucinate this argument. There are exactly three legal shapes. Anything else is a bug.
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.
- 8d ago First seen · 452 lines · 230 tokens per session scan A 8a05ac1b2fb1
ai-model-nodejs is a skill published in the GitHub repository sutchan/Agent-Skills-Hub (2 stars, last pushed today), licensed MIT. It adds 230 tokens to every session and 6,358 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 98% identical to ai-model-nodejs, differing in 205 lines, and is treated as a copy.
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