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 TencentCloudBase/cloudbase-skills --skill ai-model-nodejsgit clone --depth 1 https://github.com/TencentCloudBase/cloudbase-skillsWrote 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/tencentcloudbase/cloudbase-skills/ai-model-nodejs)<a href="https://agentmods.dev/skills/tencentcloudbase/cloudbase-skills/ai-model-nodejs"><img src="https://agentmods.dev/badge/skills/tencentcloudbase/cloudbase-skills/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/tencentcloudbase/cloudbase-skills/ai-model-nodejs"><img src="https://agentmods.dev/badge/skills/tencentcloudbase/cloudbase-skills/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 | $0.00158 | $0.05008 |
| Opus 5.5 | $0.00063 | $0.02003 |
| Sonnet 5.5 | $0.00032 | $0.01002 |
| Haiku 4.5 | $0.00016 | $0.00501 |
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 2d 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
100% identical to ai-model-nodejs — 0 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 — 278 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 ships with it
3 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.
- 2d ago Changed 74526687a1b8
- 4d ago Changed 2020d0c8963d
- 10d ago Changed 8ec36b3f05c8
- 14d ago Changed · +1 lines 5478971e7953
- 23d ago Changed b841c0d2a35f
- 1mo ago Changed 40a9a1fc4367
- 1mo ago Changed 9af7bf02a0a4
- 1mo ago Changed be0150c7d6b5
- 1mo ago Changed 14b9fb93181e
- 1mo ago First seen · 277 lines · 158 tokens per session scan A f91fd129d6f7
ai-model-nodejs is a skill published in the GitHub repository TencentCloudBase/cloudbase-skills (38 stars, last pushed 3d ago), licensed MIT. It adds 158 tokens to every session and 5,008 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to ai-model-nodejs, differing in 0 lines, and is treated as a copy.
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