7.6k★by deadlysilent
telegram-reaction-prober – OpenClaw Skill
telegram-reaction-prober is an OpenClaw Skills integration for coding workflows. Probe which emoji reactions are accepted in a specific Telegram chat/message, record an allow/deny list, and optionally remove test reactions afterwards.
Skill Snapshot
| name | telegram-reaction-prober |
| description | Probe which emoji reactions are accepted in a specific Telegram chat/message, record an allow/deny list, and optionally remove test reactions afterwards. OpenClaw Skills integration. |
| owner | deadlysilent |
| repository | deadlysilent/telegram-reaction-prober |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @deadlysilent/telegram-reaction-prober |
| last updated | Feb 7, 2026 |
Maintainer

name: telegram-reaction-prober description: Probe which emoji reactions are accepted in a specific Telegram chat/message, record an allow/deny list, and optionally remove test reactions afterwards.
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Important: Do not publish your private chat’s allow/deny list as “the answer for everyone”.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:
- Test a curated emoji set you care about (common reactions)
- Save the whitelist for that chat
- Re-run when Telegram chat settings change
How to run (manual)
- Pick a target Telegram
message_id(e.g. the most recent message in the chat). - 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
- For each emoji:
- call
messagetool withaction=reactand that emoji - if it succeeds → mark Allowed
- if it fails with
REACTION_INVALID→ mark Rejected
- call
- 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
- Write results to
/home/ubuntu/clawd/TOOLS.mdunder 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_idand record it.
telegram-reaction-prober
A small Clawdbot skill (documentation + procedure + starter emoji sets) for probing which emoji reactions are accepted in a Telegram chat.
Why: Telegram reactions can be restricted per-chat; unsupported emoji yields 400 REACTION_INVALID.
This skill shares the method and candidate emoji lists — the final allow/deny list is always chat-specific.
See SKILL.md for the runbook.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- OpenClaw CLI installed and configured.
- Language: Markdown
- License: MIT
- Topics:
FAQ
How do I install telegram-reaction-prober?
Run openclaw add @deadlysilent/telegram-reaction-prober in your terminal. This installs telegram-reaction-prober into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/deadlysilent/telegram-reaction-prober. Review commits and README documentation before installing.
