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版本数
在 OpenClaw 中安装
/install optimize-lp
功能描述
Get the optimal LP strategy for a token pair — recommends version (V2/V3/V4), fee tier, range width, and rebalance approach based on pair characteristics, historical data, and risk tolerance. Use when the user asks how to LP, what range to use, or which version/fee tier is best.
安全使用建议
This skill is internally consistent: it only produces strategy recommendations and delegates analysis to an lp-strategist subagent. Before installing or using it, verify the following: (1) inspect the lp-strategist / pool-researcher / risk-assessor implementations or ask the author where they fetch on-chain data (which RPC providers or APIs) and whether any API keys or third-party services are used; (2) never supply private keys or wallet secrets to this skill — execution requires a separate manage-liquidity skill that will need explicit authorization; (3) if you use the README's npx/GitHub install command, review the remote repository contents before running network install commands; (4) treat recommendations as informational — confirm calculations independently before committing funds.
功能分析
Type: OpenClaw Skill
Name: optimize-lp
Version: 0.1.0
The skill bundle is benign. The `SKILL.md` clearly defines the purpose of providing an LP strategy recommendation and delegates to internal OpenClaw subagents (`lp-strategist`, `pool-researcher`, `risk-assessor`) via the `Task` tool. There are no instructions for prompt injection, no direct execution of arbitrary commands, no attempts to exfiltrate data, or any other malicious behaviors. The skill explicitly states it provides a recommendation, not execution, further indicating benign intent.
能力评估
Purpose & Capability
Name/description align with what the SKILL.md actually does: extract pair/capital/risk params and delegate to an lp-strategist agent to produce LP recommendations. Nothing in the manifest or SKILL.md asks for unrelated capabilities (no cloud keys, no system access).
Instruction Scope
The runtime instructions are narrowly scoped: parameter extraction and delegation to Task(subagent_type:lp-strategist). The only caveat is that the heavy work is done by subagents (lp-strategist -> pool-researcher, risk-assessor). Those subagents may fetch on-chain data or call external APIs; the SKILL.md itself does not request extra files/env or instruct reading local files, but you should verify the subagents' behaviors and data sources before trusting outputs.
Install Mechanism
No install spec and no code files (instruction-only) — low install risk. README shows example npx install commands that fetch a GitHub path; if you choose to run those, inspect the remote repo before executing network installs. The packaged skill here does not download or extract binaries.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate for a read-only recommendation skill. Note: executing trades or adding liquidity would require separate skills (manage-liquidity) that will need wallet keys — this skill explicitly states it does not execute.
Persistence & Privilege
always:false and no special privileges requested. Autonomous invocation is allowed (platform default) but the skill itself does not request permanent presence or modify other skills' configs.
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 optimize-lp - 安装完成后，直接呼叫该 Skill 的名称或使用
/optimize-lp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
v0.1.0
- Initial release of the skill.
- Provides actionable LP strategy recommendations for any token pair.
- Analyzes pair volatility, fee tiers, pool versions, optimal range, and rebalance timing.
- Estimates returns and impermanent loss (IL) for different risk tolerances.
- Outputs clear, user-ready strategy and risk assessment.
- Handles errors for missing tokens, pools, or insufficient data.
元数据
常见问题
Uniswap Optimize Lp 是什么？
Get the optimal LP strategy for a token pair — recommends version (V2/V3/V4), fee tier, range width, and rebalance approach based on pair characteristics, historical data, and risk tolerance. Use when the user asks how to LP, what range to use, or which version/fee tier is best. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 745 次。
如何安装 Uniswap Optimize Lp？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install optimize-lp」即可一键安装，无需额外配置。
Uniswap Optimize Lp 是免费的吗？
是的，Uniswap Optimize Lp 完全免费（开源免费），可自由下载、安装和使用。
Uniswap Optimize Lp 支持哪些平台？
Uniswap Optimize Lp 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 Uniswap Optimize Lp？
由 wpank（@wpank）开发并维护，当前版本 v0.1.0。
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