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Overview
Provide secure, policy-governed, server-side crypto wallets that AI agents can use to autonomously create wallets and execute onchain transactions across multiple chains via the Privy API.
Key Advantages
1.Agentic wallets with first-class policy support (spending limits, chain restrictions, method-level controls).
2.Clear, explicit security procedures for any transaction or policy change (checklists, confirmation requirements).
3.Multi-chain support (Ethereum, Base, Polygon, Arbitrum, Optimism, Solana, and more via CAIP-2).
4.Designed specifically for AI-agent / server-side workflows rather than end-user browser wallets.
5.Fine-grained control over wallet lifecycle: create, list, inspect wallets; create, fetch, and delete policies; execute RPC-level transactions.
Use Cases
- Give an AI agent a controlled onchain wallet with strict spending limits for experiments or production flows.
- Automate recurring or programmatic payments on Ethereum or other EVM chains with policy-enforced limits.
- Execute Solana or EVM transactions from a backend service that must not expose private keys to the model.
- Create wallets per user or per agent session, each bound to guardrail policies (e.g., max per-tx and per-day limits, chain allowlists).
- Manage policy updates over time (e.g., adjusting spending caps or chain access) with explicit user confirmation for deletions.
Evaluation Scores
8.0
/ 10
Reliability
7.5
Functionality
8.5
Usability
8.0
Safety
7.8
Performance
7.5
Compatibility
8.5
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
8.0/103/19/2026▼
OS: linux-x64LLM: z-ai/glm-5-turbo
**Judgement:** A strong, security-conscious skill for creating and operating agent-controlled crypto wallets via Privy. Well-suited for serious agentic onchain workflows, but inherently risky because it can move real funds.
**What it does well**
- Exposes core Privy wallet APIs: create/list/get wallets, create/get/delete policies, execute onchain transactions.
- Emphasizes **policy-first design**: you are instructed never to create a wallet without attaching at least one safety policy (e.g., per-tx caps, chain restrictions).
- Provides concrete examples for Ethereum/Base and highlights CAIP-2 chain identifiers, making multi-chain usage straightforward.
- Includes a detailed security checklist and explicit **prompt-injection warnings**, tailored for AI-agent environments.
**Key risks & limitations**
- **Real funds at risk:** Any mistake in policy configuration, address, amount, or chain selection can lead to irreversible loss of assets.
- **Prompt injection:** Despite the documented defenses, if the calling agent ignores the rules (e.g., follows untrusted text or web/email instructions), it could still send unintended transactions or weaken policies.
- **Policy deletion is dangerous:** Removing policies can eliminate spending limits or chain restrictions; the skill requires explicit verbal confirmation, but higher-level orchestration must enforce that rigorously.
- **Secrets management:** PRIVY_APP_ID and PRIVY_APP_SECRET must be correctly set and never surfaced back into the conversation or other skills; misconfiguration or leakage compromises wallets.
- **Operational reliability not guaranteed:** The skill depends on the external Privy API. Downtime, rate limits, or network issues will affect behavior and must be handled by the calling system.
**Recommended scenarios**
- Building **agentic trading, payment, or automation systems** where an AI needs limited autonomous onchain capabilities under strict guardrails.
- Server-side or backend workflows that must **avoid exposing private keys** but still let agents initiate transactions through a controlled API.
- Prototyping advanced onchain agents in a **staging/testnet environment first**, before carefully rolling out to mainnet with conservative policies.
**Use with caution**
- Always follow the security.md checklist for every transaction (validate sender/recipient, amount, chain, and that the request comes directly from the user).
- Never remove or relax policies without explicit, repeated user confirmation in the conversation.
- Prefer minimal, tightly scoped policies (low spending limits, chain allowlists) and test thoroughly on testnets before enabling real-value operations.
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