Telegram Reaction Prober logo

Telegram Reaction Prober

Community
viralcode
telegram-reaction-prober

Probe which emoji reactions are accepted in a specific Telegram chat/message, record an allow/deny list, and optionally remove test reactions afterwards.

Overview

Publisherviralcode
Repositoryopenwhale
Skill nametelegram-reaction-prober
Stars
65
Forks
11
Bundled files
2
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by viralcode on GitHub. Read the source before you install it.

Installation

Install the Telegram Reaction Prober AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/viralcode/openwhale.git /tmp/openwhale
mkdir -p .claude/skills
cp -r /tmp/openwhale/skills/telegram-reaction-prober .claude/skills/telegram-reaction-prober
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Telegram Reaction Prober in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Telegram Reaction Prober on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Telegram Reaction Prober is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Telegram Reaction Prober

What this skill is

Telegram reactions are chat-specific: a bot can only react with emojis that are enabled for that chat/message. When you try an unsupported emoji, Telegram returns:

  • 400 Bad Request: REACTION_INVALID

This skill is the prober (the method + starter datasets), not a global list. It helps you:

  • test a list of candidate emojis against a specific message_id
  • classify them as Allowed vs Rejected
  • optionally remove successful reactions after testing (so you don't spam the chat)
  • write the results into TOOLS.md (or another file)

Important: Do not publish your private chat’s allow/deny list as “the answer for everyone”. Share the prober + candidate sets; each user still probes their own chat.

Limits / Reality check

There is no practical way to "test every emoji" (Unicode is enormous, and this Clawdbot Telegram integration does not expose Telegram's enabled-reaction list directly).

So the best approach is:

  1. Test a curated emoji set you care about (common reactions)
  2. Save the whitelist for that chat
  3. Re-run when Telegram chat settings change

How to run (manual)

  1. Pick a target Telegram message_id (e.g. the most recent message in the chat).
  2. Pick a candidate emoji set:
    • start small (15–30), or
    • use the included 200-emoji starter list:
      • skills/telegram-reaction-prober/assets/emoji200-unicode-frequency-2019.txt
  3. For each emoji:
    • call message tool with action=react and that emoji
    • if it succeeds → mark Allowed
    • if it fails with REACTION_INVALID → mark Rejected
  4. Cleanup options:
    • Fast/quiet: don’t remove; Telegram generally keeps only one reaction per user/bot (so you’re effectively just flipping it)
    • Clean: remove successful reactions after testing via remove=true
  5. Write results to /home/ubuntu/clawd/TOOLS.md under a heading like:
    • ### Telegram reactions (this chat) — tested on message_id XYZ

Suggested starter emoji set

Allowed in many chats:

  • 👍 ❤️ 🔥 🙏 🎉 🤔 👀

Often rejected (depends on chat):

  • ✅ 😂 💡

Good candidates to test next:

  • 👎 😅 😭 😮 😍 🤝 👏 🙌 💯 😡 😴 🧠 🧩 ⚠️

Notes

  • Be mindful of rate limits; don’t blast 100+ reactions without delays.
  • Keep tests on a single known message_id and record it.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Telegram Reaction Prober AI skill do?

Probe which emoji reactions are accepted in a specific Telegram chat/message, record an allow/deny list, and optionally remove test reactions afterwards.

Why use Telegram Reaction Prober on TypingMind?

Because you install it once and use it with any model. Telegram Reaction Prober is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Telegram Reaction Prober in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/viralcode/openwhale/tree/main/skills/telegram-reaction-prober. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Telegram Reaction Prober?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Telegram Reaction Prober?

As many as you like. As long as a model supports skills, you can use Telegram Reaction Prober with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Telegram Reaction Prober AI skill free?

It is published on GitHub by viralcode. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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