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emoji and tg stickers use proactively based on mood
by
Daniil Burykin
· GitHub ↗
· v3.0.0
1665
Downloads
4
Stars
4
Active Installs
3
Versions
Install in OpenClaw
/install tg-sticker-emoji-mood
Description
Automatically send Telegram stickers and emojis that match the mood and vibe of the conversation. Activates on every Telegram message to add expressive, huma...
Usage Guidance
This skill appears to do exactly what it says: it uses your TELEGRAM_BOT_TOKEN to call api.telegram.org and send stickers. Before enabling it: (1) ensure the bot token you provide has only the permissions you intend and rotate/revoke it if misused; (2) be aware the skill is explicitly designed to act proactively (it will send stickers automatically on messages) — if you don't want autonomous, unsolicited responses, disable autonomous invocation or require user confirmation; (3) test in a private chat or test group first to confirm behavior and rate limits; (4) you can inspect or modify scripts/send_sticker.sh if you want stricter logging, rate-limiting, or opt-out checks.
Capability Analysis
Type: OpenClaw Skill
Name: tg-sticker-emoji-mood
Version: 3.0.0
The skill bundle is classified as suspicious due to a critical shell injection vulnerability (specifically, Python code injection) found in `scripts/send_sticker.sh`. The `emoji` parameter, when passed to the `send_sticker_by_emoji` function, is directly embedded into a `python3 -c` command string without proper sanitization. This allows an attacker to break out of the Python string literal using a single quote and execute arbitrary Python code, leading to potential Remote Code Execution (RCE) on the host system. While the `SKILL.md` instructions are benign and align with the stated purpose, they direct the AI agent to use this vulnerable script.
Capability Assessment
Purpose & Capability
Name/description match the code and SKILL.md: the skill only needs a TELEGRAM_BOT_TOKEN and uses the Telegram Bot API to send stickers. The requested credential is appropriate for the stated functionality.
Instruction Scope
Instructions ask the agent to act proactively (send stickers without an explicit user request) and to use $TELEGRAM_CHAT_ID from the environment. This is behaviorally aggressive (could spam/annoy) but does not read unrelated files or secrets.
Install Mechanism
No install spec; the only code is a small shell script that uses curl and python3. Nothing is downloaded from external, untrusted URLs and nothing is written to disk beyond the script itself.
Credentials
Only TELEGRAM_BOT_TOKEN is required and is consistent with sending messages via the Bot API. No unrelated credentials, config paths, or broad secrets are requested.
Persistence & Privilege
always is false (good). Model invocation is allowed (platform default), which means the agent can autonomously send stickers per the skill's instructions — combined with the proactive behavior this can lead to frequent unsolicited messages; consider limiting autonomous invocation if unwanted.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tg-sticker-emoji-mood - After installation, invoke the skill by name or use
/tg-sticker-emoji-mood - Provide required inputs per the skill's parameter spec and get structured output
Version History
v3.0.0
**Major update: Makes sticker/emoji reactions more lively and human, with "sticker-first" for casual chats.**
- New "sticker-first" behavior: In casual, playful, or social conversations, send the sticker before your text reply.
- Adjusted when/how often stickers are sent: For chit-chat or memes, sticker is sent 80–100% of the time and leads the response.
- Clarified when sticker follows text (punctuation) vs. when to skip stickers entirely for serious/formal topics.
- Updated rules and guidance for matching user energy, especially when the user sends a sticker/emoji first.
- Enhanced emoji direction guidance for correct conversational feels depending on sticker placement.
- Expanded and reorganized behavioral guidelines for more expressive, timely, and natural reactions.
v2.0.0
- Documentation now includes a new section on "Directional Emoji Awareness" with guidance on choosing the correct direction for pointing emojis based on Telegram's message layout.
v1.0.0
1 st ver. sends stickers based on mood and vibe
Metadata
Frequently Asked Questions
What is emoji and tg stickers use proactively based on mood?
Automatically send Telegram stickers and emojis that match the mood and vibe of the conversation. Activates on every Telegram message to add expressive, huma... It is an AI Agent Skill for Claude Code / OpenClaw, with 1665 downloads so far.
How do I install emoji and tg stickers use proactively based on mood?
Run "/install tg-sticker-emoji-mood" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is emoji and tg stickers use proactively based on mood free?
Yes, emoji and tg stickers use proactively based on mood is completely free (open-source). You can download, install and use it at no cost.
Which platforms does emoji and tg stickers use proactively based on mood support?
emoji and tg stickers use proactively based on mood is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created emoji and tg stickers use proactively based on mood?
It is built and maintained by Daniil Burykin (@dandysuper); the current version is v3.0.0.
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