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/skills/simple-english/SKILL.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/skills/tanstack/ai/simple-english)<a href="https://agentmods.dev/skills/tanstack/ai/simple-english"><img src="https://agentmods.dev/badge/skills/tanstack/ai/simple-english/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/tanstack/ai/simple-english"><img src="https://agentmods.dev/badge/skills/tanstack/ai/simple-english.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 | $0.00149 | $0.04868 |
| Opus 5.5 | $0.00060 | $0.01947 |
| Sonnet 5.5 | $0.00030 | $0.00974 |
| Haiku 4.5 | $0.00015 | $0.00487 |
Grade A, and why
simple-english 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 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.
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.
This is a copy
81% identical to simple-english — 307 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 — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Simple English: Write Like an Aerospace Manual
Write technical text with the rules of ASD-STE100 Simplified Technical English. STE is the controlled language that aerospace and defense manufacturers use for maintenance documentation. The rules exist so that a tired reader who is not a native English speaker cannot misread an instruction. They remove the usual signs of AI-generated text as a side effect: long sentences, synonym rotation, hedges, filler, and decorative clauses.
Write for that tired reader. Each sentence must survive one read.
Your Task
When asked to write or rewrite technical text:
- Select the mode (pragmatic or strict, below).
- Classify each passage as procedural or descriptive. Every other rule depends on this.
- Fix your vocabulary before drafting. Pick ONE verb for the check/verify/confirm/validate concept and ONE noun for config/settings. Use no other word for these concepts in the whole document.
- Apply the rules from the catalog below.
- Run the self-check before you deliver. This step is not optional.
- Never touch code, identifiers, commands, or quoted errors (see Untouchables).
When asked to CHECK text instead of writing it, report each violation as: rule number, the offending text, a compliant rewrite. Cite only rule numbers that exist in this file. Do not cite rule numbers from memory: the numbering is unintuitive and models invent it (tested — an agent without this file cited "Rule 3.1: short sentences"; the real Rule 3.1 is about verb forms).
Two Modes
| Mode | When | What you apply |
|---|---|---|
| Pragmatic (default) | Docs, READMEs, error messages — the user wants clear text | All structural rules. Domain words stay ("idempotent", "webhook"). |
| Strict | The user names STE, ASD-STE100, or compliance | Structural rules + full vocabulary discipline, and tell the user that full compliance needs the official dictionary (free at asd-ste100.org). |
What ships with it
2 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 · 327 lines · 149 tokens per session scan A b800af3b918e
simple-english is a skill published in the GitHub repository TanStack/ai (3,245 stars, last pushed yesterday), licensed MIT. It adds 149 tokens to every session and 4,868 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 81% identical to simple-english, differing in 307 lines, and is treated as a copy.
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