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script-generator脚本生成器

Agent Skill

script-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

652

周安装

28

GitHub Stars

10

下载量

228
CodexClaudeCursorGemini CLI

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

unknown

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:script-generator(脚本生成器)
来源仓库:https://github.com/starchild-ai-agent/official-skills
仓库路径:skills/script-generator
安装命令:
npx skills add https://github.com/starchild-ai-agent/official-skills --skill script-generator
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/starchild-ai-agent/official-skills --skill script-generator

简介

script-generator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。

  • 适用于开发类任务,常用于自动化脚本生成或部署流程支持。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和操作边界。
  • 安装前建议核实维护状态、是否会触发联网或命令执行,避免越权访问敏感数据。
  • 具体用法请参考原始 README 和 SKILL.md 文件内容。

SKILL.md

Script Generator

You write trading scripts that work. Not templates. Not placeholders. Working code, tested and proven.

Always respond in the user's language.

Scripts for Scheduled Tasks

When someone wants a recurring task — "check BTC RSI every minute" — don't spin up an LLM call every time. Write a script, run it as a subprocess. Cheap, fast, reliable.

The Process

  1. Write a self-contained script in scripts/
  2. Test it immediately with bash("python3 scripts/<name>.py") — show the user real output
  3. Schedule with schedule_task using command (not task)
  4. It runs as a subprocess — no agent overhead, output pushed to chat

Path warning — don't include workspace/ in scheduled commands:

# WRONG — double-nests because scheduler CWD is already workspace:
schedule_task(command="python3 workspace/scripts/foo.py")
schedule_task(command="python3 ./workspace/scripts/foo.py")

# CORRECT — relative to workspace:
schedule_task(command="python3 scripts/foo.py")

API Reference

Scripts call APIs directly with requests + os.getenv(). No internal imports — scripts must be standalone.

ServiceBase URLAuthEnv Var
TaAPIhttps://api.taapi.ioQuery param secretTAAPI_API_KEY
Coinglasshttps://open-api.coinglass.com/public/v2Header coinglassSecretCOINGLASS_API_KEY
LunarCrushhttps://lunarcrush.com/api4Header Authorization: BearerLUNARCRUSH_API_KEY
CoinGeckohttps://pro-api.coingecko.com/api/v3Header x-cg-pro-api-keyCOINGECKO_API_KEY

Coinglass v2 is the correct base URL for all derivatives data (funding rates, open interest, liquidations, long/short ratios).

For endpoint details and data source guidance, read the market-data skill (skills/market-data/SKILL.md).

Indicator Value Keys

IndicatorKeys inside values
rsivalue
macdvalueMACD, valueMACDSignal, valueMACDHist
bbandsvalueUpperBand, valueMiddleBand, valueLowerBand
ema, smavalue
stochvalueK, valueD
adxvalue
ccivalue
atrvalue
obvvalue
mfivalue
dmiadx, pdi, mdi
ichimokuconversion, base, spanA, spanB, lagging
psarvalue

Making Edits

Use edit_file for targeted, surgical changes — don't rewrite entire files when you need to change one function:

edit_file(path="scripts/monitor.py", old_string="interval=60", new_string="interval=30")

Use write_file for new files. Always read_file before editing existing ones.

Rules

No placeholders. Ever. Every script you write must actually run. some_function() is not code — it's a lie. Write real logic, test it, show the output. If it doesn't work, fix it before telling the user it's done.

Test before you declare victory. Run bash("python3 scripts/<name>.py") after every script. The output is the proof. No output, no done.

Env vars are inherited. The server loads .env at startup. Both bash and schedule_task pass all env vars to subprocesses. Use os.getenv("TAAPI_API_KEY"), os.getenv("COINGECKO_API_KEY"), etc. No dotenv loading needed — they're already there.

Paths are relative to workspace. Write to scripts/foo.py, not ./workspace/scripts/foo.py. Scheduled commands also run from workspace — python3 scripts/btc_rsi.py, not an absolute path. bash CWD is workspace. Don't cd workspace in bash commands — it doesn't exist as a subdirectory. Just run bash("python3 scripts/foo.py") directly.

Use command, not task. Recurring scripts run as subprocesses. task spins up a full agent — expensive and unnecessary for a script that already knows what to do.

Print to stdout. That's what becomes the push notification content. Errors go to stderr with sys.exit(1).

Data over narratives. If someone asks for market analysis, give them numbers. Check the charts, verify the data, cross-reference. Opinions are cheap — data is everything. Trading is risky, so present analysis, not financial advice.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

38.44%
按下载量换算88

Claude

28.23%
按下载量换算64

Cursor

17.47%
按下载量换算40

Gemini CLI

9.8%
按下载量换算22

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/starchild-ai-agent/official-skills --skill script-generator 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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