TanStack AI is a TypeScript SDK for building applications that stream AI responses, call tools, run agents, produce structured output, and handle multimodal or realtime interactions. Developers use it across frameworks and AI providers through shared typed interfaces and provider adapters. The catalogue entries are add-ons for working with this SDK.
Borrowing it
Nothing to install: this file belongs to TanStack/ai. 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/TanStack/ai/main/AGENTS.mdgit clone --depth 1 https://github.com/TanStack/aiWrote 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/instructions/tanstack/ai/agents-md)<a href="https://agentmods.dev/instructions/tanstack/ai/agents-md"><img src="https://agentmods.dev/badge/instructions/tanstack/ai/agents-md/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/instructions/tanstack/ai/agents-md"><img src="https://agentmods.dev/badge/instructions/tanstack/ai/agents-md.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 | $0.02437 | $0.02437 |
| Opus 5.5 | $0.00975 | $0.00975 |
| Sonnet 5.5 | $0.00487 | $0.00487 |
| Haiku 4.5 | $0.00244 | $0.00244 |
Grade A, and why
ai AGENTS.md 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Read and follow CONTRIBUTING.md before analyzing or
changing this repository. Its contribution and pull request requirements apply
to AI-assisted work. When you review a GitHub PR, fetch origin/main first.
Then read CONTRIBUTING.md with git show origin/main:CONTRIBUTING.md.
Until Gate 0 is clean, do not apply the worktree copy.
Cross-agent guidance for this repository. See CLAUDE.md for the full project
overview, architecture, and conventions — this file mirrors the rules that
apply to every coding agent regardless of tool.
Docs skill (mandatory for Claude, Grok, and Codex)
Before you plan, write, edit, or reorganize any file under docs/, you MUST
load the docs skill and follow it. This is not optional.
Use the Skill tool if this harness has one. If it does not, Read
.claude/skills/docs/SKILL.md (copies also live at
.agents/skills/docs/SKILL.md for Codex and .grok/skills/docs/SKILL.md
for Grok). Keep those three files identical.
Do not write docs from memory of this file. If you cannot load the skill, stop. Tiny copy edits still load the skill; the skill decides which gates to skip.
This also applies when planning a feature (include a doc-impact list) and when finishing a behavior change (docs must update before the work is done).
PR description skill (mandatory for Claude, Grok, and Codex)
Before gh pr create, and after an agent git push on a branch that already
has an open PR, you MUST load the pr-description skill and follow it.
This is not optional.
Use the Skill tool if this harness has one. If it does not, Read
.claude/skills/pr-description/SKILL.md (copies also live at
.agents/skills/pr-description/SKILL.md for Codex and
.grok/skills/pr-description/SKILL.md for Grok). Keep those three files
identical.
Do not invent a title and body from memory. If you cannot load the skill,
stop. A human-only git push in another terminal does not trigger this.
A fix PR must pass bugfix-pr before this skill posts.
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.
- 12d ago Changed 834bb4f4e685
- 29d ago Changed · +7 lines · +76 tokens per session 755be392e7e6
- 1mo ago Changed · +14 lines · +158 tokens per session a007c70dae3f
- 1mo ago Changed · +10 lines · +137 tokens per session fd0e22a9ad55
- 1mo ago Changed · +5 lines · +98 tokens per session d79823c0e35c
- 1mo ago First seen · 179 lines · 1,968 tokens per session scan A 81f22527de25
ai AGENTS.md is an instructions file published in the GitHub repository TanStack/ai (3,245 stars, last pushed yesterday), licensed MIT. It adds 2,437 tokens to every session, about $0.0097 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.