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Agent Skill · 研究检索

telegram-colored-choices-buttons(Telegram colored choices buttons 搜索)

telegram-colored-choices-buttons 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。

telegram-colored-choices-buttons 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 7,498。

总安装 18,825周安装 769GitHub Stars 公开资料未说明下载 6,029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
MIT-0
版本
1.0.0

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-colored-choices-buttons(Telegram colored choices buttons 搜索)
来源仓库:https://github.com/dandysuper/telegram-colored-choices-buttons
安装命令:
openclaw skills install telegram-colored-choices-buttons
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 telegram-colored-choices-buttons

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。

根据操作的关键性和可逆性,自动将 Telegram 机器人选择按钮着色为默认、破坏性(红色)或次要(灰色)。

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 OpenClaw;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 openclaw skills install telegram-colored-choices-buttons;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

    它需要需要联网,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-colored-choices-buttons 怎么安装?

在终端执行 openclaw skills install telegram-colored-choices-buttons。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

telegram-colored-choices-buttons 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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-colored-choices-buttons 需要什么权限?

权限级别是需要联网。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。

telegram-colored-choices-buttons 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

telegram-colored-choices-buttons 用的人多吗?

公开数据是累计安装 18,825 次,近一周安装 769 次,下载 6,029 次。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-colored-choices-buttons 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 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 OpenClaw,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

  • 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-colored-choices-buttons

Telegram colored choices buttons 搜索 · 本页

18,825—需要联网MIT-0有提醒

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

Openclaw AI Bot — Colored Choice Buttons Skill

Purpose

Every time the bot presents choices to the user, it MUST automatically color each button based on how critical, irreversible, or different the choices are. The bot never sends plain/unstyled choice buttons — color is always applied.

Core Rule

Whenever the bot sends 2+ choices to a user, classify each choice and assign a style automatically. This is not optional.


Telegram Bot API — Button Styles

Two fields on InlineKeyboardButton and KeyboardButton:

  • style (String, Optional) — Button color:

- *(omit)* — Default accent/blue. The recommended / safe / primary action. - "destructive" — Red. Irreversible, dangerous, or high-stakes actions. - "secondary" — Gray/muted. Low-priority, dismiss, skip, or neutral actions.

  • icon_custom_emoji_id (String, Optional) — Custom emoji icon on the button.

Automatic Classification Rules

When the bot builds a set of choice buttons, it MUST classify every choice into one of three tiers before sending:

Tier 1 — Default (accent/blue): The recommended path

Apply when the choice is:

  • The safest or most common action
  • A positive confirmation ("Yes", "Continue", "Accept", "Start")
  • The action the bot would recommend
  • Moving forward in a flow

Do: omit the style field (or set to null).

Tier 2 — Destructive (red): High-stakes or irreversible

Apply when the choice:

  • Deletes, removes, or permanently changes something
  • Cancels an in-progress operation that loses work
  • Blocks, bans, or restricts a user
  • Rejects, declines, or refuses something important
  • Spends money, tokens, or credits
  • Cannot be undone easily

Do: set "style": "destructive".

Tier 3 — Secondary (gray): Low-priority or escape hatch

Apply when the choice:

  • Skips, dismisses, or postpones ("Maybe later", "Not now")
  • Is a neutral fallback ("Back", "Cancel" when nothing is lost)
  • Shows more info without committing ("Details", "Help")
  • Is the least important option in the set

Do: set "style": "secondary".


How to Decide — Contrast Matters

When choices differ in criticality, the colors MUST reflect that contrast:

High contrast — choices have very different consequences:

 "Delete my account" → destructive (red)
 "Keep my account"   → default (blue)

Medium contrast — one main action, one escape:

 "Subscribe"   → default (blue)
 "Not now"     → secondary (gray)

Low contrast — choices are roughly equal:

 "Option A" → default (blue)
 "Option B" → default (blue)
 "Skip"     → secondary (gray)

Multiple tiers in one set:

 "Confirm purchase"  → default (blue)     — recommended
 "Change amount"     → secondary (gray)   — neutral/back
 "Cancel order"      → destructive (red)  — loses progress

Classification Examples

Bot asks: "Approve this document?"

[
  [{"text": "✅ Approve", "callback_data": "approve"},
   {"text": "❌ Reject", "callback_data": "reject", "style": "destructive"}],
  [{"text": "⏭ Review later", "callback_data": "skip", "style": "secondary"}]
]

Bot asks: "Pick a plan:"

[
  [{"text": "Free Plan", "callback_data": "free"},
   {"text": "Pro Plan", "callback_data": "pro"}],
  [{"text": "Compare plans", "callback_data": "compare", "style": "secondary"}]
]

(Equal choices = both default; info link = secondary)

Bot asks: "Delete all messages in this chat?"

[
  [{"text": "🗑 Delete all", "callback_data": "delete_all", "style": "destructive"}],
  [{"text": "Keep messages", "callback_data": "keep"}]
]

(Destructive action is red; safe action is the default blue)

Bot asks: "Transfer 500 tokens to @user?"

[
  [{"text": "Send 500 tokens", "callback_data": "send", "style": "destructive"},
   {"text": "Cancel", "callback_data": "cancel", "style": "secondary"}]
]

(Spending = destructive since it costs something; cancel = secondary)


Implementation — Python Auto-Classifier

The bot MUST use a classifier function to determine style. Here is the reference implementation:

import re

# Keywords that signal each tier (case-insensitive, matched against button text + callback_data)
DESTRUCTIVE_SIGNALS = [
    r"\bdelete\b", r"\bremove\b", r"\bban\b", r"\bblock\b",
    r"\breject\b", r"\bdecline\b", r"\brevoke\b", r"\bterminate\b",
    r"\bcancel order\b", r"\bcancel subscription\b",
    r"\bunsubscribe\b", r"\bdestroy\b", r"\bpurge\b",
    r"\bspend\b", r"\btransfer\b", r"\bpay\b", r"\bsend.*tokens?\b",
    r"\breset\b", r"\bclear all\b", r"\bwipe\b",
    r"\bleave\b", r"\bquit\b", r"\bdisconnect\b",
]

SECONDARY_SIGNALS = [
    r"\bskip\b", r"\bnot now\b", r"\bmaybe later\b", r"\blater\b",
    r"\bback\b", r"\bdismiss\b", r"\bclose\b",
    r"\bdetails\b", r"\bmore info\b", r"\bhelp\b", r"\babout\b",
    r"\bno thanks\b", r"\bnevermind\b",
    r"\bcancel$",  # plain "cancel" (no lost work) = secondary, not destructive
]


def classify_button_style(text: str, callback_data: str = "", context_hint: str = "") -> str | None:
    """
    Automatically determine the button style based on its text and context.

    Returns:
        "destructive" — red button (irreversible / high-stakes)
        "secondary"   — gray button (low-priority / dismiss)
        None          — default blue button (primary / recommended)

    context_hint: optional extra context like "this action costs money"
    """
    combined = f"{text} {callback_data} {context_hint}".lower()

    # Check destructive first (higher priority)
    for pattern in DESTRUCTIVE_SIGNALS:
        if re.search(pattern, combined):
            return "destructive"

    # Then secondary
    for pattern in SECONDARY_SIGNALS:
        if re.search(pattern, combined):
            return "secondary"

    # Default = primary (blue)
    return None


def build_choice_buttons(choices: list[dict]) -> list[list[dict]]:
    """
    Takes a list of raw choices and returns Bot API inline_keyboard rows
    with styles automatically assigned.

    Each choice dict:
        text (str):          Button label (required)
        data (str):          callback_data (required unless url is set)
        url (str):           URL button (optional, mutually exclusive with data)
        style (str|None):    Override style — if set, skip auto-classification
        context (str):       Extra hint for classifier (e.g. "costs money")
        emoji_id (str):      Custom emoji ID (optional)
        row (int):           Force button into a specific row (optional)

    Returns list of rows suitable for inline_keyboard.
    """
    # Group by row
    row_map: dict[int, list[dict]] = {}
    auto_row = 0
    for i, choice in enumerate(choices):
        btn: dict = {"text": choice["text"]}

        # Action
        if "url" in choice:
            btn["url"] = choice["url"]
        else:
            btn["callback_data"] = choice.get("data", choice["text"].lower().replace(" ", "_"))

        # Style — use override if provided, else auto-classify
        if "style" in choice and choice["style"] is not None:
            btn["style"] = choice["style"]
        else:
            auto_style = classify_button_style(
                choice["text"],
                choice.get("data", ""),
                choice.get("context", ""),
            )
            if auto_style:
                btn["style"] = auto_style

        # Custom emoji
        if "emoji_id" in choice:
            btn["icon_custom_emoji_id"] = choice["emoji_id"]

        # Row assignment
        target_row = choice.get("row", auto_row)
        row_map.setdefault(target_row, []).append(btn)

        # Auto-advance row every 2 buttons
        if len(row_map.get(auto_row, [])) >= 2:
            auto_row += 1

    return [row_map[k] for k in sorted(row_map.keys())]

Using the classifier in the bot:

import requests

def send_choices(bot_token, chat_id, text, choices, parse_mode="HTML"):
    """Send a message with auto-colored choice buttons."""
    keyboard = build_choice_buttons(choices)
    payload = {
        "chat_id": chat_id,
        "text": text,
        "parse_mode": parse_mode,
        "reply_markup": {"inline_keyboard": keyboard},
    }
    url = f"https://api.telegram.org/bot{bot_token}/sendMessage"
    resp = requests.post(url, json=payload)
    resp.raise_for_status()
    return resp.json()

# The bot just passes raw choices — colors are assigned automatically:
send_choices(TOKEN, chat_id, "Approve this document?", [
    {"text": "✅ Approve", "data": "approve"},
    {"text": "❌ Reject", "data": "reject"},          # auto → destructive (red)
    {"text": "⏭ Review later", "data": "later"},       # auto → secondary (gray)
])

Usage with python-telegram-bot library

If the library version does not yet expose style, pass it via api_kwargs.
from telegram import InlineKeyboardButton, InlineKeyboardMarkup

def auto_button(text, callback_data, context=""):
    style = classify_button_style(text, callback_data, context)
    kwargs = {"style": style} if style else {}
    return InlineKeyboardButton(text, callback_data=callback_data, api_kwargs=kwargs)

keyboard = InlineKeyboardMarkup([
    [auto_button("Approve", "approve"),
     auto_button("Reject", "reject")],
    [auto_button("Skip", "skip")],
])
await update.message.reply_text("Pick an option:", reply_markup=keyboard)

Reply Keyboard — Same Rules Apply

{
  "chat_id": "<CHAT_ID>",
  "text": "Delete your data?",
  "reply_markup": {
    "keyboard": [
      [
        {"text": "Keep my data"},
        {"text": "Delete everything", "style": "destructive"}
      ]
    ],
    "resize_keyboard": true,
    "one_time_keyboard": true
  }
}

Custom Emoji on Buttons

Can be combined with style on the same button:

{"text": "Boost", "callback_data": "boost", "style": "destructive", "icon_custom_emoji_id": "5368324170671202286"}

Shell Helper

Quick test with colored buttons:

./SKILL.sh <BOT_TOKEN> <CHAT_ID>

References

  • Telegram Bot API: https://core.telegram.org/bots/api
  • Bot API Changelog: https://core.telegram.org/bots/api-changelog
  • Telegram Blog Announcement: https://telegram.org/blog/crafting-android-design-and-more

平台分布

OpenClaw

78.32%
按下载量换算4,722

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

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。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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