algorand-frontend

algorand-frontend is a skill for Claude Code, Codex from algorand-devrel/algorand-agent-skills. It costs 103 tokens per session (1,132 once invoked), scanned A, original, MIT.

A guide and setup pattern for building web apps that connect Algorand wallets to deployed smart contracts. Algorand is a blockchain, a wallet signs transactions, and a smart contract is code that runs on that blockchain.

In plain words
What is it for?
Creating React, Vue, SolidJS, Svelte, or plain JavaScript/TypeScript dApp frontends; configuring wallets and networks; and calling deployed contract methods.
Why use it?
It explains how to pass transaction signing from a user's wallet to typed contract clients, reducing uncertainty when wiring a frontend to blockchain code.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Creating React, Vue, SolidJS, Svelte, or plain JavaScript/TypeScript dApp frontends; configuring wallets and networks; and calling deployed contract methods.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/algorand-devrel/algorand-agent-skills/algorand-frontend
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add algorand-devrel/algorand-agent-skills --skill algorand-frontend
Clone the repo
git clone --depth 1 https://github.com/algorand-devrel/algorand-agent-skills

Made for: Claude Code, Codex.

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 algorand-frontend

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/algorand-devrel/algorand-agent-skills/algorand-frontend"><img src="https://agentmods.dev/badge/skills/algorand-devrel/algorand-agent-skills/algorand-frontend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,132 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00103 $0.01132
Opus 5 $0.00051 $0.00566
Sonnet 5 $0.00021 $0.00226
Haiku 4.5 $0.00010 $0.00113

Measured 11d ago against content hash 071ad64f7e4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

algorand-frontend 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 11d 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.

skills/algorand-frontend/SKILL.md · 103 lines

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.

Algorand Frontends

Build frontend applications that connect to Algorand wallets and interact with smart contracts using typed clients. Works with React, Vue, SolidJS, Svelte, and vanilla JS/TS.

Prerequisites

  1. Smart contract is deployed with a known App ID
  2. ARC-56/ARC-32 app spec exists (e.g., MyContract.arc56.json)
  3. Frontend project is set up (Vite, Next.js, Nuxt, SvelteKit, or any bundler)

Core Pattern: Signer Handoff

Wallet (use-wallet) → transactionSigner
                              ↓
                    AlgorandClient.setSigner()
                              ↓
                    Typed App Client (defaultSender)
                              ↓
                    Contract Method Calls (auto-signed)

Quick Start

# Generate typed client
algokit generate client path/to/MyContract.arc56.json --output src/contracts/MyContractClient.ts

# Install core + framework adapter (pick one)
npm install @algorandfoundation/algokit-utils algosdk @txnlab/use-wallet-react   # React
npm install @algorandfoundation/algokit-utils algosdk @txnlab/use-wallet-vue     # Vue
npm install @algorandfoundation/algokit-utils algosdk @txnlab/use-wallet-solid   # SolidJS
npm install @algorandfoundation/algokit-utils algosdk @txnlab/use-wallet-svelte  # Svelte
npm install @algorandfoundation/algokit-utils algosdk @txnlab/use-wallet         # Vanilla JS/TS

# Install wallet peer dependencies (only for wallets you use)
npm install @perawallet/connect @blockshake/defly-connect

Minimal Integration (React)

import { useWallet } from '@txnlab/use-wallet-react'
import { AlgorandClient } from '@algorandfoundation/algokit-utils'
import { MyContractClient } from './contracts/MyContractClient'

function ContractInteraction() {
  const { transactionSigner, activeAddress } = useWallet()

  const callContract = async () => {
    if (!activeAddress || !transactionSigner) return

    const algorand = AlgorandClient.testNet()
    algorand.setSigner(activeAddress, transactionSigner)

    const appClient = algorand.client.getTypedAppClientById(MyContractClient, {
      appId: 12345n,
      defaultSender: activeAddress,
    })

    const result = await appClient.send.myMethod({ args: { value: 42n } })
    console.log('Result:', result.return)
  }

  return <button onClick={callContract}>Call Contract</button>
}

Read the full file on GitHub · 103 lines

Files

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.

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. 11d ago First seen · 103 lines · 103 tokens per session scan A 071ad64f7e4f

Subscribe to this mod's changes

algorand-frontend is a skill published in the GitHub repository algorand-devrel/algorand-agent-skills (33 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 1,132 once invoked, about $0.0005 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 2026-08-30.

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