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Agent Skill · 研究检索

telegram-reader(Telegram reader 搜索)

telegram-reader 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

telegram-reader 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 14,571。

总安装 8,460周安装 349GitHub Stars 1,384下载 2,764核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:telegram-reader(Telegram reader 搜索)
来源仓库:https://github.com/himself65/finance-skills
仓库路径:skills/telegram-reader
安装命令:
npx skills add https://github.com/himself65/finance-skills --skill telegram-reader
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/himself65/finance-skills --skill telegram-reader

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

telegram-reader 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

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。可结合来源仓库和原始 README 进一步核验具体用法。

来源仓库内路径:skills/telegram-reader

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/himself65/finance-skills --skill telegram-read…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

telegram-reader 怎么安装?

在终端执行 npx skills add https://github.com/himself65/finance-skills --skill telegram-reader。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

telegram-reader 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

telegram-reader 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/himself65/finance-skills --skill telegram-reader 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。

telegram-reader 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

telegram-reader 用的人多吗?

公开数据是累计安装 8,460 次,近一周安装 349 次,下载 2,764 次,GitHub 1,384 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

telegram-reader 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 1,384 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
telegram-reader

Telegram reader 搜索 · 本页

8,4601,384执行命令未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Telegram News Skill (Read-Only)

Reads Telegram channels and groups for financial news and market research using tdl, a Telegram CLI tool.

This skill is read-only. It is designed for financial research: reading channel messages, monitoring financial news channels, and exporting message history. It does NOT support sending messages, joining/leaving channels, or any write operations.


Step 1: Ensure tdl Is Installed

Current environment status:

!`(command -v tdl && tdl version 2>&1 | head -3 || echo "TDL_NOT_INSTALLED") 2>/dev/null`

If the status above shows a version number, tdl is installed — skip to Step 2.

If TDL_NOT_INSTALLED, install tdl based on the user's platform:

PlatformInstall Command
macOS / Linux`curl -sSL https://docs.iyear.me/tdl/install.sh \sudo bash`
macOS (Homebrew)brew install telegram-downloader
Linux (Termux)pkg install tdl
Linux (AUR)yay -S tdl
Linux (Nix)nix-env -iA nixos.tdl
Go (any platform)go install github.com/iyear/tdl@latest

Ask the user which installation method they prefer. Default to Homebrew on macOS, curl script on Linux.


Step 2: Ensure tdl Is Authenticated

Current auth status:

!`(tdl chat ls --limit 1 2>&1 >/dev/null && echo "AUTH_OK" || echo "AUTH_NEEDED") 2>/dev/null`

If AUTH_OK, skip to Step 3.

If AUTH_NEEDED, guide the user through login. Login requires interactive input — the user must enter their phone number and verification code manually.

Login methods

Method A: QR Code (recommended — fastest)

tdl login -T qr

A QR code will be displayed in the terminal. The user scans it with their Telegram mobile app (Settings > Devices > Link Desktop Device).

Method B: Phone + Code

tdl login -T code

The user enters their phone number, then the verification code sent to their Telegram app.

Method C: Import from Telegram Desktop

If the user has Telegram Desktop installed and logged in:

tdl login

This imports the session from the existing desktop client. The desktop client must be from the official website, NOT from the App Store or Microsoft Store.

Namespaces

By default, tdl uses a default namespace. To manage multiple accounts:

tdl login -n work -T qr      # Login to "work" namespace
tdl chat ls -n work           # Use "work" namespace for commands

Important login notes

  • Login is a one-time operation. The session persists on disk after successful login.
  • If login fails, ask the user to check their internet connection and try again.
  • Never ask for or handle Telegram passwords/2FA codes programmatically — always let the user enter them interactively.

Step 3: Identify What the User Needs

Match the user's request to one of the read operations below.

User RequestCommandKey Flags
List all chats/channelstdl chat ls-o json, -f "FILTER"
List only channelstdl chat ls -f "Type contains 'channel'"-o json
Export recent messagestdl chat export -c CHAT -T last -i N--all, --with-content
Export messages by time rangetdl chat export -c CHAT -T time -i START,END--all, --with-content
Export messages by ID rangetdl chat export -c CHAT -T id -i FROM,TO--all, --with-content
Export from a topic/threadtdl chat export -c CHAT --topic TOPIC_ID--all, --with-content
Search for a channel by nametdl chat ls -f "VisibleName contains 'NAME'"-o json

Chat identifiers

The -c flag accepts multiple formats:

FormatExample
Username (with @)-c @channel_name
Username (without @)-c channel_name
Numeric chat ID-c 123456789
Public link-c https://t.me/channel_name
Phone number-c "+1 123456789"
Saved Messages-c "" (empty)

Step 4: Execute the Command

Listing chats

# List all chats
tdl chat ls

# JSON output for processing
tdl chat ls -o json

# Filter for channels only
tdl chat ls -f "Type contains 'channel'"

# Search by name
tdl chat ls -f "VisibleName contains 'Bloomberg'"

Exporting messages

Always use --all --with-content to get text messages (not just media):

# Last 20 messages from a channel
tdl chat export -c @channel_name -T last -i 20 --all --with-content -o /tmp/tdl-export.json

# Messages from a time range (Unix timestamps)
tdl chat export -c @channel_name -T time -i 1710288000,1710374400 --all --with-content -o /tmp/tdl-export.json

# Messages by ID range
tdl chat export -c @channel_name -T id -i 100,200 --all --with-content -o /tmp/tdl-export.json

Key rules

  1. Check auth first — run tdl chat ls --limit 1 before other commands to verify the session is valid
  2. Always use --all --with-content when exporting messages for reading — without these flags, tdl only exports media messages
  3. Use -o FILE to save exports to a file, then read the JSON — this is more reliable than parsing stdout
  4. Start with small exports — use -T last -i 20 unless the user asks for more
  5. Use filters on chat ls to help users find the right channel before exporting
  6. NEVER execute write operations — this skill is read-only; do not send messages, join channels, or modify anything
  7. Convert timestamps — when the user gives dates, convert to Unix timestamps for the -T time filter

Working with exported JSON

After exporting, read the JSON file and extract the relevant information:

# Export messages
tdl chat export -c @channel_name -T last -i 20 --all --with-content -o /tmp/tdl-export.json

# Read and process the export
cat /tmp/tdl-export.json

The export JSON contains message objects with fields like id, date, message (text content), from_id, views, and media metadata.


Step 5: Present the Results

After fetching data, present it clearly for financial research:

  1. Summarize key messages — highlight the most relevant news or market updates
  2. Include timestamps — show when each message was posted
  3. Group by topic — if multiple channels, organize by theme (macro, earnings, crypto, etc.)
  4. Flag actionable information — note breaking news, price targets, earnings surprises
  5. Provide channel context — mention which channel/group each message came from
  6. For channel lists, show channel name, member count, and type

Step 6: Diagnostics

If something isn't working:

ErrorCauseFix
not authorized or session errorsNot logged in or session expiredRun tdl login -T qr to re-authenticate
FLOOD_WAIT_XRate limited by TelegramWait X seconds, then retry
CHANNEL_PRIVATENo access to channelUser must join the channel in their Telegram app first
tdl: command not foundtdl not installedInstall using Step 1

Reference Files

  • references/commands.md — Complete tdl command reference for reading channels and exporting messages

Read the reference file when you need exact command syntax or detailed flag documentation.

平台分布

Codex

36.63%
按下载量换算1,012

Claude

30.59%
按下载量换算846

Cursor

20.2%
按下载量换算558

Gemini CLI

10.11%
按下载量换算279

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

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/himself65/finance-skills --skill telegram-reader 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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