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在 OpenClaw 中安装
/install onchain-contract-token-analy
功能描述
Analyze smart contracts, token mechanics, permissions, fee flows, upgradeability, market risks, and likely attack surfaces for onchain projects. Use when rev...
安全使用建议
This skill is an instruction-only analyzer for smart contracts and is internally consistent with that purpose. Before using it: (1) do not paste or provide private keys or write-capable RPC credentials—only provide read-only RPC or explorer API keys if necessary; (2) be aware the agent may read any source files, ABIs, or deployment scripts you give it, so avoid including unrelated sensitive files; (3) validate any high-impact findings yourself on-chain or via a trusted block explorer; (4) if you need to keep reviews private, run the agent in an isolated environment or provide a minimal, curated set of files and read-only chain access. If you want higher assurance, ask for the exact external endpoints the skill will query (explorer names or RPC hosts) before supplying credentials.
功能分析
Type: OpenClaw Skill
Name: onchain-contract-token-analy
Version: 1.0.0
The skill bundle provides a structured framework for an AI agent to perform security and tokenomic analysis of blockchain smart contracts. The instructions in SKILL.md are well-defined, focusing on identifying risks like honeypots, centralization, and reentrancy, while explicitly advising the agent to avoid making unsupported claims of malice. No indicators of data exfiltration, malicious execution, or prompt injection were found.
能力评估
Purpose & Capability
The name/description (onchain contract/token analysis) matches the SKILL.md content: the workflow, checks, and output format are all focused on smart-contract/token security and economics. There are no unrelated environment variables, binaries, or install steps requested that would be inappropriate for this purpose.
Instruction Scope
The instructions explicitly tell the agent to inspect source files, addresses, ABIs, deployment scripts, and docs and to verify state with current chain/explorer data when needed. This is coherent for a contract review, but it implies the agent will access repository files and external chain/explorer endpoints. The skill does not instruct the agent to read unrelated system files, but users should be aware that providing repo files or explorer credentials may expose sensitive data.
Install Mechanism
There is no install spec and no code files—this is instruction-only. That minimizes on-disk risk because nothing is downloaded or executed by the skill itself.
Credentials
The skill requests no environment variables or credentials, which is proportionate. However, the guidance expects access to live chain/explorer data; in practice you may need to provide read-only RPC endpoints or explorer API keys to get current state. Do not provide private keys or write-capable credentials; only supply minimal, read-only access if required.
Persistence & Privilege
always is false and there is no install or modification of other skills or system configuration. The skill can be invoked autonomously by the agent (default behavior) but that is normal and not excessive for this type of skill.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install onchain-contract-token-analy - 安装完成后，直接呼叫该 Skill 的名称或使用
/onchain-contract-token-analy触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release.
元数据
常见问题
onchain contract token analysis 是什么？
Analyze smart contracts, token mechanics, permissions, fee flows, upgradeability, market risks, and likely attack surfaces for onchain projects. Use when rev... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 239 次。
如何安装 onchain contract token analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install onchain-contract-token-analy」即可一键安装，无需额外配置。
onchain contract token analysis 是免费的吗？
是的，onchain contract token analysis 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
onchain contract token analysis 支持哪些平台？
onchain contract token analysis 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 onchain contract token analysis？
由 Rowan（@0xrowan）开发并维护，当前版本 v1.0.0。
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