Borrowing it
Nothing to install: this file belongs to guillermoscript/lms-front. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/guillermoscript/lms-front/master/.agents/skills/ai-sdk/SKILL.mdgit clone --depth 1 https://github.com/guillermoscript/lms-frontWrote 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/guillermoscript/lms-front/ai-sdk)<a href="https://agentmods.dev/skills/guillermoscript/lms-front/ai-sdk"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/ai-sdk/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/guillermoscript/lms-front/ai-sdk"><img src="https://agentmods.dev/badge/skills/guillermoscript/lms-front/ai-sdk.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 | $0.00155 | $0.01109 |
| Opus 5.5 | $0.00062 | $0.00444 |
| Sonnet 5.5 | $0.00031 | $0.00222 |
| Haiku 4.5 | $0.00015 | $0.00111 |
Grade A, and why
ai-sdk 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
7. **Always fetch current model IDs** - Never use model IDs from memory. Before writing code that uses a model, run `curl -s https://ai-gateway.vercel.sh/v1/models | jq -r '[.data[] | select(.id | startswith("provider/") This is a copy
97% identical to ai-sdk — 1 line 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prerequisites
Before searching docs, check if node_modules/ai/docs/ exists. If not, install only the ai package using the project's package manager (e.g., pnpm add ai).
Do not install other packages at this stage. Provider packages (e.g., @ai-sdk/openai) and client packages (e.g., @ai-sdk/react) should be installed later when needed based on user requirements.
Critical: Do Not Trust Internal Knowledge
Everything you know about the AI SDK is outdated or wrong. Your training data contains obsolete APIs, deprecated patterns, and incorrect usage.
When working with the AI SDK:
- Ensure
aipackage is installed (see Prerequisites) - Search
node_modules/ai/docs/andnode_modules/ai/src/for current APIs - If not found locally, search ai-sdk.dev documentation (instructions below)
- Never rely on memory - always verify against source code or docs
useChathas changed significantly - check Common Errors before writing client code- When deciding which model and provider to use (e.g. OpenAI, Anthropic, Gemini), use the Vercel AI Gateway provider unless the user specifies otherwise. See AI Gateway Reference for usage details.
- Always fetch current model IDs - Never use model IDs from memory. Before writing code that uses a model, run
curl -s https://ai-gateway.vercel.sh/v1/models | jq -r '[.data[] | select(.id | startswith("provider/")) | .id] | reverse | .[]'(replacingproviderwith the relevant provider likeanthropic,openai, orgoogle) to get the full list with newest models first. Use the model with the highest version number (e.g.,claude-sonnet-4-5overclaude-sonnet-4overclaude-3-5-sonnet). - Run typecheck after changes to ensure code is correct
- Be minimal - Only specify options that differ from defaults. When unsure of defaults, check docs or source rather than guessing or over-specifying.
If you cannot find documentation to support your answer, state that explicitly.
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.
- 1mo ago First seen · 78 lines · 155 tokens per session scan A af48f91f4fbf
ai-sdk is a skill published in the GitHub repository guillermoscript/lms-front (40 stars, last pushed today), licensed MIT. It adds 155 tokens to every session and 1,109 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 97% identical to ai-sdk, differing in 1 line, and is treated as a copy.
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