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Install in OpenClaw
/install onchain-contract-tokens
Description
Analyze smart contracts, token mechanics, permissions, fee flows, upgradeability, market risks, and likely attack surfaces for onchain projects. Use when rev...
Usage Guidance
This skill is a checklist-style onchain audit and appears internally consistent. Before using it, avoid supplying private keys, wallet seed phrases, or RPC credentials — the skill doesn't need those. Prefer providing public contract addresses, verified source code, ABIs, and any relevant deployment metadata. Expect the agent to query public chain explorers or RPC endpoints to verify onchain state; if you have privacy concerns, restrict access to private repositories or endpoints. If you do not want the skill invoked autonomously by the agent, disable model invocation in the agent settings.
Capability Analysis
Type: OpenClaw Skill
Name: onchain-contract-tokens
Version: 1.0.0
The skill bundle provides a structured framework for an AI agent to perform security audits on smart contracts and blockchain tokens. The instructions in SKILL.md guide the agent through identifying architecture, permissions, fee flows, and common attack surfaces (e.g., reentrancy, honeypot logic) without any evidence of malicious intent or prompt injection risks.
Capability Assessment
Purpose & Capability
The name and description (contract/token security analysis) match the SKILL.md instructions. The guidance asks the agent to inspect contracts, ABIs, deployment scripts, addresses, and explorers — all logically required for onchain security reviews. There are no unrelated env vars, binaries, or install steps.
Instruction Scope
The instructions correctly direct the agent to inspect source, ABIs, deployment scripts, docs, and onchain state via explorers or chain queries when needed. This is appropriate for the task, but it does mean the agent will want access to workspace files and to query external blockchain explorers or RPC endpoints. The SKILL.md does not instruct the agent to read unrelated system files or environment secrets, and it cautions about not overclaiming conclusions.
Install Mechanism
No install spec or code is present (instruction-only). This is the lowest-risk install profile since nothing is written to disk or automatically fetched.
Credentials
The skill declares no required environment variables, credentials, or config paths. For its stated purpose, that is proportionate: onchain reads can be performed with public addresses and verified sources. There is no request for private keys, node credentials, or unrelated service tokens.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent or elevated platform privileges. Autonomous invocation remains allowed by default (normal for skills) but is not combined with additional red flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install onchain-contract-tokens - After installation, invoke the skill by name or use
/onchain-contract-tokens - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release.
Metadata
Frequently Asked Questions
What is onchain contract token analysis?
Analyze smart contracts, token mechanics, permissions, fee flows, upgradeability, market risks, and likely attack surfaces for onchain projects. Use when rev... It is an AI Agent Skill for Claude Code / OpenClaw, with 241 downloads so far.
How do I install onchain contract token analysis?
Run "/install onchain-contract-tokens" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is onchain contract token analysis free?
Yes, onchain contract token analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does onchain contract token analysis support?
onchain contract token analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created onchain contract token analysis?
It is built and maintained by Rowan (@0xrowan); the current version is v1.0.0.
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