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.
Best use case
telegram-reaction-prober is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Probe which emoji reactions are accepted in a specific Telegram chat/message, record an allow/deny list, and optionally remove test reactions afterwards.
Teams using telegram-reaction-prober should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/telegram-reaction-prober/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How telegram-reaction-prober Compares
| Feature / Agent | telegram-reaction-prober | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this 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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# 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 Important: **Do not publish your private chat’s allow/deny list** as “the answer for everyone”.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.Related Skills
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