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Account Abstraction

Organization
keep-starknet-strange
account-abstraction

Starknet account abstraction correctness and security guidance for validate/execute paths, nonces, signatures, and session policies.

Overview

Publisherkeep-starknet-strange
Repositorystarknet-agentic
Skill nameaccount-abstraction
Stars
81
Forks
26
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by keep-starknet-strange on GitHub. Read the source before you install it.

Installation

Install the Account Abstraction AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/keep-starknet-strange/starknet-agentic/tree/main/skills/account-abstraction
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/keep-starknet-strange/starknet-agentic.git /tmp/starknet-agentic
mkdir -p .claude/skills
cp -r /tmp/starknet-agentic/skills/account-abstraction .claude/skills/account-abstraction
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Account Abstraction in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Account Abstraction on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Account Abstraction is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Account Abstraction

When to Use

  • Reviewing account contract validation and execution paths.
  • Designing session-key policy boundaries.
  • Validating nonce and signature semantics.

When NOT to Use

  • General contract authoring not involving account semantics.

Quick Start

  1. Confirm __validate__ enforces lightweight, bounded checks.
  2. Confirm __execute__ enforces policy and selector boundaries.
  3. Verify replay protections (nonce/domain separation) for all signature paths.
  4. Add regression tests for each fixed session-key or policy finding.
  5. Run cairo-auditor for final AA/security pass before merge.

Core Focus

  • __validate__ constraints and DoS resistance.
  • __execute__ policy enforcement correctness.
  • Replay protection and domain separation.
  • Privileged selector and self-call protection.

Workflow

References

starknet.js Example

ts
import { Account, CallData, RpcProvider } from "starknet";

const provider = new RpcProvider({ nodeUrl: process.env.STARKNET_RPC! });
const account = new Account({ provider, address: process.env.ACCOUNT_ADDRESS!, signer: process.env.PRIVATE_KEY! });

// Validate preview (debug-only): inspect __validate__ behavior with the current nonce.
const nonce = await account.getNonce();
const call = { contractAddress: process.env.TARGET!, entrypoint: "set_limit", calldata: CallData.compile({ value: 7 }) };
await provider.callContract({
  contractAddress: account.address,
  entrypoint: "__validate__",
  calldata: CallData.compile({ calls: [call], nonce }),
});

// Execute path: real transaction that triggers __execute__ and nonce checks.
const tx = await account.execute([call]);
await provider.waitForTransaction(tx.transaction_hash);

Error Codes and Recovery

CodeConditionRecovery
AA-001__validate__ is too expensive or statefulRemove heavy logic from validation; add a test that caps validation steps.
AA-002__execute__ allows blocked selectors/self-callsEnforce selector filters and self-call checks; add authorized/unauthorized regression tests.
AA-003Nonce or domain mismatch causes replay riskNormalize nonce source/hash domain; add replay and cross-domain tests.
AA-999Unexpected runtime panicCapture calldata + caller context, reproduce in unit tests, then escalate to cairo-auditor.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Account Abstraction AI skill do?

Starknet account abstraction correctness and security guidance for validate/execute paths, nonces, signatures, and session policies.

Why use Account Abstraction on TypingMind?

Because you install it once and use it with any model. Account Abstraction is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Account Abstraction in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/keep-starknet-strange/starknet-agentic/tree/main/skills/account-abstraction. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Account Abstraction?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Account Abstraction?

As many as you like. As long as a model supports skills, you can use Account Abstraction with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Account Abstraction AI skill free?

Yes. It is published on GitHub by keep-starknet-strange under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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