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dev-specialisms:hashbrown-core

dev-specialisms:hashbrown-core is a skill for Claude Code from aaronbassett/agent-foundry. It costs 175 tokens per session (2,274 once invoked), scanned A, original, MIT.

A development guide for Hashbrown, a React library for applications that use language models to stream responses, call tools, and generate interface components.

In plain words
What is it for?
Building chat and completion interfaces, returning structured results, streaming model output, letting models call client-side tools, generating React UI, and safely running generated JavaScript in a sandbox.
Why use it?
It explains how to connect a React interface to a Node.js server and choose the right interaction pattern for an AI-powered application.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/generate-component.py simple-chat ./src/components.

Part of the dev-specialisms plugin — 3 skills, 1 plugin shipped together

not rated 4repo 23d ago A scan 175 tokens original MIT

Good fit Building chat and completion interfaces, returning structured results, streaming model output, letting models call client-side tools, generating React UI, and safely running generated JavaScript in a sandbox.

Compare 6 skills from other repositories ↓
View source ↗ aaronbassett/agent-foundry
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/aaronbassett/agent-foundry
agentmods
npx agentmods add skills/aaronbassett/agent-foundry/hashbrown-core

Made for: Claude Code.

Or install dev-specialisms, the plugin that ships this one along with the rest of its 3 skills, 1 plugin.

Wrote 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.

agentmods badge for dev-specialisms:hashbrown-core

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaronbassett/agent-foundry/hashbrown-core/github.svg)](https://agentmods.dev/skills/aaronbassett/agent-foundry/hashbrown-core)
Your own site
<a href="https://agentmods.dev/skills/aaronbassett/agent-foundry/hashbrown-core"><img src="https://agentmods.dev/badge/skills/aaronbassett/agent-foundry/hashbrown-core/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.

agentmods 80×15 button for dev-specialisms:hashbrown-core

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaronbassett/agent-foundry/hashbrown-core"><img src="https://agentmods.dev/badge/skills/aaronbassett/agent-foundry/hashbrown-core.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 175 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,274 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00175 $0.02274
Opus 5 $0.00088 $0.01137
Sonnet 5 $0.00035 $0.00455
Haiku 4.5 $0.00017 $0.00227

Measured 8d ago against content hash de87a14e3841, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

dev-specialisms:hashbrown-core 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 8d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (assets/components/multi-threaded-chat-ui/hooks/useThreads.ts, assets/components/structured-data-form/schema.ts, assets/servers/basic-chat-server/src/index.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/dev-specialisms/skills/hashbrown-core/SKILL.md · 235 lines

How it starts

The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hashbrown Development Skill

Overview

Hashbrown is a React library for building LLM-powered applications with generative UI, client-side tool calling, streaming, and sandboxed JavaScript execution. It provides React hooks (useChat, useUiChat, etc.) that connect to a Node.js backend adapter, which securely communicates with LLM providers (OpenAI, Anthropic, Google, Azure, Bedrock, Ollama).

Architecture: React frontend (using Hashbrown hooks) + Node.js backend adapter (proxies LLM API requests)

Quick Start Workflow

1. Choose the Right Hook

Hook Multi-turn Chat Single Input Structured Output Tool Calling Generate UI
useChat ✅ ❌ ❌ ✅ ❌
useStructuredChat ✅ ❌ ✅ ✅ ❌
useCompletion ❌ ✅ ❌ ✅ ❌
useStructuredCompletion ❌ ✅ ✅ ✅ ❌
useUiChat ✅ ❌ ✅ ✅ ✅

2. Generate Boilerplate

Use the scripts to scaffold components and servers:

# List available templates
python scripts/list-templates.py

# Generate a component
python scripts/generate-component.py simple-chat ./src/components

# Generate a backend server
python scripts/generate-server.py basic-chat-server ./backend

Available component templates:

  • simple-chat - Basic text-only chat with useChat
  • ui-chat-with-components - Generative UI with useUiChat and exposeComponent
  • client-side-tool-calling - Tool calling with useTool
  • js-runtime-chart-generator - Sandboxed JS execution for data visualization
  • structured-data-form - Form generation from natural language with Skillet schemas
  • streaming-chat-ui - Streaming responses with loading states
  • multi-threaded-chat-ui - Multi-conversation management with threads
  • predictive-text-input - Autocomplete/suggestions powered by LLM
  • chat-with-voice-input - Voice input with speech recognition

Read the full file on GitHub · 235 lines

Files

What ships with it

54 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.

Changes

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.

  1. 8d ago First seen · 235 lines · 175 tokens per session scan A de87a14e3841

Subscribe to this mod's changes

dev-specialisms:hashbrown-core is a skill published in the GitHub repository aaronbassett/agent-foundry (4 stars, last pushed 23d ago), licensed MIT. It adds 175 tokens to every session and 2,274 once invoked, about $0.0009 per session on Opus 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 2026-08-31.

FrontendReact
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