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gigo-lobster-doctor吉戈龙虾医生

Agent Skill

gigo-lobster-doctor 用于辅助 Python 项目开发、测试和数据处理,适合在 OpenClaw 中需要阅读 Python 代码、运行测试或整理脚本流程时使用。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

11,704

周安装

475

GitHub Stars

公开资料未说明

下载量

4,117
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:gigo-lobster-doctor(吉戈龙虾医生)
来源仓库:https://github.com/gigolab/gigo-lobster-doctor
安装命令:
openclaw skills install gigo-lobster-doctor
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 gigo-lobster-doctor

简介

🦞 GIGO · gigo-lobster-doctor:环境检查模式:只检查网关、Python依赖、题包物流与PNG证书能力,不跑正式试吃。 触发条件:龙虾检查 / 检查龙虾环境 / 龙虾医生 / 检查龙虾环境。

SKILL.md

name
gigo-lobster-doctor
description
🦞 GIGO · gigo-lobster-doctor: 环境体检模式:只检查 gateway、Python 依赖、题包链路与 PNG 证书能力,不跑正式试吃。 Triggers: 龙虾体检 / 检查龙虾环境 / lobster doctor / check lobster environment.
metadata
{"openclaw":{"emoji":"🦞","os":["darwin","linux","win32"],"requires":{"anyBins":["python3","python","py"]}}}

gigo-lobster-doctor

Mission

  • 环境体检模式:只检查 gateway、Python 依赖、题包链路与 PNG 证书能力,不跑正式试吃。
  • Environment doctor mode: checks the gateway, Python/runtime dependencies, task-bundle access, and PNG certificate readiness without running the full benchmark.

Trigger Phrases

  • 中文:龙虾体检 / 检查龙虾环境 / 先体检龙虾 / 龙虾环境检查
  • English: lobster doctor / check lobster environment / lobster environment check / doctor my lobster

Execution Rules

  1. Use a direct Python command on this skill directory's wrapper file. Never use cd ... && python ...; OpenClaw preflight may reject it.
  2. Prefer python3, then python, then py.
  3. If the user asked in Chinese, append --lang zh. If the user asked in English, append --lang en.
  4. Stream short progress updates while the benchmark is running.
  5. Keep stdout/stderr visible and remind the user that the full log is written to gigo-run.log.
  6. Do not run --help, inspect the whole repo, or switch to main.py once the wrapper command is clear. Start the wrapper directly.
  7. If the wrapper starts a long-running process, do not kill it just because stdout is quiet for a while. A full tasting run often takes 15-25 minutes.
  8. While a long run is in progress, monitor the process and tail the log file under ~/.openclaw/workspace/outputs/gigo-lobster-doctor/gigo-run.log instead of improvising a second execution path.
  9. Only declare failure if the process exits non-zero, the log shows a traceback, or the user explicitly asks to cancel.
  10. Stay attached until the wrapper exits. Do not end the conversation with “I will keep monitoring”; keep polling and only report completion once you have the final score/result files/ref_code (if any).
  11. Prefer process poll plus exec tail -n 50 .../gigo-run.log while monitoring. Do not use a generic full-file read on gigo-run.log, because the log can be large and may break the chat output.

Default Behavior

  • 中文:默认只做环境检查,不跑正式 benchmark,也不会上传。
  • English: By default it only runs the environment checks. No full benchmark and no upload.

Recommended Command Shape

python3 /absolute/path/to/run_doctor.py --lang zh

If the user explicitly asks for overrides, append the matching CLI flags:

  • --lobster-name "..." and --lobster-tags "tag1,tag2" for a custom lobster persona
  • --output-dir /custom/path for a custom output directory
  • --require-png-cert when the user refuses the SVG fallback
  • --skip-upload or --register-only only when the user explicitly asks to change the default upload behavior

Persona Defaults

  • Explicit CLI overrides win first: --lobster-name and --lobster-tags
  • Then read GIGO_LOBSTER_NAME and GIGO_LOBSTER_TAGS
  • Then read SOUL.md
  • Finally fall back to the default lobster persona

Do not stop for interactive questions unless the user explicitly asks for an interactive run.

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

96.64%
按下载量换算3,979

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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