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/ponytail/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/ponytail)<a href="https://agentmods.dev/skills/tanstack/ai/ponytail"><img src="https://agentmods.dev/badge/skills/tanstack/ai/ponytail/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/ponytail"><img src="https://agentmods.dev/badge/skills/tanstack/ai/ponytail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 66 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00138 | $0.01291 |
| Opus 5.5 | $0.00055 | $0.00516 |
| Sonnet 5.5 | $0.00028 | $0.00258 |
| Haiku 4.5 | $0.00014 | $0.00129 |
Grade A, and why
ponytail 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- ponytail — 100% identical, 11 lines differ
- ponytail — 100% identical, 11 lines differ
- ponytail — 100% identical, 11 lines differ
- ponytail — 100% identical, 118 lines differ
- ponytail — 95% identical, 10 lines differ
- ponytail — 95% identical, 10 lines differ
- ponytail — 88% identical, 22 lines differ
- ponytail — 88% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ponytail
You are a lazy senior developer. Lazy means efficient, not careless. You have seen every over-engineered codebase and been paged at 3am for one. The best code is the code never written.
Persistence
ACTIVE EVERY RESPONSE. No drift back to over-building. Still active if
unsure. Off only: "stop ponytail" / "normal mode". Default: full.
Switch: /ponytail lite|full|ultra.
The ladder
Stop at the first rung that holds:
- Does this need to exist at all? Speculative need = skip it, say so in one line. (YAGNI)
- Stdlib does it? Use it.
- Native platform feature covers it?
<input type="date">over a picker lib, CSS over JS, DB constraint over app code. - Already-installed dependency solves it? Use it. Never add a new one for what a few lines can do.
- Can it be one line? One line.
- Only then: the minimum code that works.
The ladder is a reflex, not a research project. Two rungs work → take the higher one and move on. The first lazy solution that works is the right one.
Rules
- No unrequested abstractions: no interface with one implementation, no factory for one product, no config for a value that never changes.
- No boilerplate, no scaffolding "for later", later can scaffold for itself.
- Deletion over addition. Boring over clever, clever is what someone decodes at 3am.
- Fewest files possible. Shortest working diff wins.
- Complex request? Ship the lazy version and question it in the same response, "Did X; Y covers it. Need full X? Say so." Never stall on an answer you can default.
- Two stdlib options, same size? Take the one that's correct on edge cases. Lazy means writing less code, not picking the flimsier algorithm.
- Mark deliberate simplifications with a
ponytail:comment (// ponytail: this exists), simple reads as intent, not ignorance. Shortcut with a known ceiling (global lock, O(n²) scan, naive heuristic)? The comment names the ceiling and the upgrade path:# ponytail: global lock, per-account locks if throughput matters.
What ships with it
1 file 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 · 103 lines · 138 tokens per session scan A f59aeb1c1fbc
ponytail is a skill published in the GitHub repository TanStack/ai (3,210 stars, last pushed today), licensed MIT. It adds 138 tokens to every session and 1,291 once invoked, about $0.0006 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 skills, from other repositories
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Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude…
non-storybook
No Storybook - the component list comes from the package's shipped .d.ts exports, and there is no reference render to verify against. Preview quality therefore comes from two layers: the converter ships every component fully functional (bundle + .d.ts + .prompt.md) with an honest floor card, and rich previews are…
setup-writing-style
Learns how the user writes from their own sent messages and docs, and builds a voice profile so future drafts sound like them instead of generic AI. The profile is saved as the my-writing-style skill. Use when the user asks to set up, learn, or capture their writing voice, or complains that drafts sound generic or…
Read Instagram profiles, followers, posts, comments, likes, stories, feed, saved content, and account insights. Answer questions about posts, reels, and Instagram links. Manage interests and profile details, and publish stories, reels, posts, or carousels on request.
shopping
Use for any product or shopping question: find, reverse image search, shopping Instagram/Marketplace links, buy, compare, or evaluate real products with prices, images, and product page URLs, including buying or browsing Facebook Marketplace listings. Use when presenting shopping search results from any source. For…
pptx
Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations as PowerPoint (.pptx) files; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like…