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lobstrlobstr 搜索

Agent Skill

lobstr 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,444

周安装

274

GitHub Stars

公开资料未说明

下载量

2,258
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:lobstr(lobstr 搜索)
来源仓库:https://github.com/rednix/lobstr
安装命令:
openclaw skills install lobstr
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install lobstr

简介

lobstr 在 60 秒内评估创业想法可行性,适合 OpenClaw 中项目立项前的快速验证阶段。

  • 基于市场需求、竞争格局与技术难度打分。
  • 输出建议不构成投资意见。lobstr 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需用户提供完整 idea 描述以便准确评分。
  • 建议结合线下调研结果综合判断方向价值。

SKILL.md

name
lobstr
version
0.3.0
description
>
metadata
credentials
required
false
description
Optional — set alongside EXA_API_KEY for unlimited local scans (BYOK mode)
required
false
description
Optional — set alongside ANTHROPIC_API_KEY for unlimited local scans (BYOK mode)
required
false
description
Optional — required only when using --moltbook flag

LOBSTR — Startup Idea Scorer

Trigger

Explicit triggers:

  • User types /lobstr "their startup idea"
  • User types /validate, /scan, or /score followed by an idea

Proactive triggers (ask the user before running):

  • User says "should I build this?" or "is this a good idea?"
  • User is describing a startup concept they are considering
  • User asks for a competitive analysis of a new product idea
  • User is brainstorming business ideas and wants structured feedback
  • User asks "what do you think of this idea?"
  • User mentions a problem they want to solve and is considering a startup

When triggering proactively, say: "Want me to run a LOBSTR scan on that? It'll give you a competitor landscape, pitch score, and EU investor signal in about 60 seconds."

Workflow

Run scripts/lobstr.py with the idea as a single argument:

python3 scripts/lobstr.py "their startup idea"

The script prints the formatted score card to stdout. Show it to the user verbatim — do not reformat or summarize.

If the script errors, surface the error message to the user clearly.

Flags

FlagEffect
(none)Private output only — score card to stdout
--publicAlso publish to runlobstr.com and show share URL
--moltbookAlso post to m/lobstrscore on Moltbook
--jsonOutput raw JSON instead of formatted card (for agent-to-agent piping)

Default usage (no flags) makes one outbound call to runlobstr.com/api/score for scoring and returns privately. No data is published or shared.

Agent usage

When another agent calls this skill programmatically, use --json to get structured output:

python3 scripts/lobstr.py "idea" --json

Returns a JSON object with overall_score, dimensions, competitors, grid, verdict, build_it.

What the user gets

  • LOBSTR score (0–100) across 6 dimensions: Landscape, Opportunity, Business model, Sharpness, Timing, Reach
  • Competitor list with real companies found via live web search
  • GRID investor signal — how many EU VCs are active in the space
  • Build/don't build verdict — honest, not flattering
  • Shareable URL at runlobstr.com (only with --public)

Requirements

No API keys required. LOBSTR uses the free hosted API at runlobstr.com (5 scans/day).

For unlimited scans, set both keys to enable BYOK mode (local pipeline):

export ANTHROPIC_API_KEY=<your-key>
export EXA_API_KEY=<your-key>

Score Card Format (for reference)

🦞 LOBSTR SCAN
"idea here"

LOBSTR SCORE 74/100 [=======---]

L  Landscape   🟢  82/100  one line verdict
O  Opportunity 🟡  71/100  one line verdict
B  Biz model   🟡  65/100  one line verdict
S  Sharpness   🔴  61/100  one line verdict
T  Timing      🟢  88/100  one line verdict
R  Reach       🟢  79/100  one line verdict

VERDICT
Two sentence VC verdict here.

✅ BUILD IT.

Color rules: 🟢 ≥ 70, 🟡 50–69, 🔴 < 50

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

97.25%
按下载量换算2,196

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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