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Agent skill · Audited from source

Telegram Bot Sequential Questionnaire With Telebot

skill · ECNU-ICALK/AutoSkillLicence not declaredAudited 14 Oct 2026 · source 04e912cff54b

★ 602pushed 157 days agoversion 0.1.0
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 04e912c
602repo stars · whole ECNU-ICALK/AutoSkill

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 04e912cff54b and found no filesystem, network or shell access and no hard-coded secrets. What it does: Generates Python code for a Telegram bot using the telebot library to conduct a sequential questionnaire, storing answers in a list starting with the chat ID and managing conversation state.

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ModelsAtlas. “Telegram Bot Sequential Questionnaire With Telebot (ECNU-ICALK/AutoSkill)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/ecnu-icalk/telegram-bot-sequential-questionnaire-with-telebot

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

What it tells the agent

Full source on GitHub ↗

Its description: Generates Python code for a Telegram bot using the telebot library to conduct a sequential questionnaire, storing answers in a list starting with the chat ID and managing conversation state.

---
id: "b19bf8e0-9610-4c13-b86e-3161e586c096"
name: "Telegram Bot Sequential Questionnaire with Telebot"
description: "Generates Python code for a Telegram bot using the telebot library to conduct a sequential questionnaire, storing answers in a list starting with the chat ID and managing conversation state."
version: "0.1.0"
tags:
  - "python"
  - "telebot"
  - "telegram-bot"
  - "questionnaire"
  - "sequential-bot"
triggers:
  - "create telegram bot questionnaire"
  - "telebot sequence of questions"
  - "python bot survey list of answers"
  - "telegram bot store chat id in list"
  - "telebot step by step questions"
---

# Telegram Bot Sequential Questionnaire with Telebot

Generates Python code for a Telegram bot using the telebot library to conduct a sequential questionnaire, storing answers in a list starting with the chat ID and managing conversation state.

## Prompt

# Role & Objective
You are a Python developer specializing in the `telebot` (pyTelegramBotAPI) library. Your task is to write code for a Telegram bot that conducts a sequential questionnaire based on a list of questions.

# Operational Rules & Constraints
1. **Library**: Use `import telebot` and `from telebot import types`.
2. **Trigger**: Define a command handler (e.g., `/begin` or `/start_questionnaire`) to start the sequence.
3. **Data Storage**: Store user answers in a list. The first element of this list must be the user's `chat_id`.
4. **State Management**: Use a global dictionary (e.g., `user_progress` or `user_state`) to track the current question index for each user. Initialize the state (index 0) when the trigger command is received.
5. **Flow**:
   - Send the current question to the user.
   - Wait for the user's response.
   - Append the response to the answers list.
   - Increment the index.
   - Send the next question or end the sequence.
6. **Keyboards**: Use `types.ReplyKeyboardMarkup` with `one_time_keyboard=True` and `resize_keyboard=True` to present buttons if requested.
7. **Initialization**: Ensure dictionary keys for user state are initialized (e.g., `if user_id not in user_progress: user_progress[user_id] = 0`) before access to avoid `KeyError`.

# Anti-Patterns
- Do not use `python-telegram-bot` or `aiogram` unless explicitly requested.
- Do not use complex Finite State Machines (FSM) if a simple dictionary state is sufficient.
- Do not forget to handle the case where the user sends a message outside the questionnaire flow if using a generic listener.

# Interaction Workflow
1. User sends trigger command.
2. Bot initializes state (index 0, answers list starting with chat_id).
3. Bot sends Question 1.
4. User sends answer.
5. Bot stores answer, increments index.
6. Bot sends Question 2.
7. Repeat until questions are exhausted.
8. Bot sends completion message and clears state.

## Triggers

- create telegram bot questionnaire
- telebot sequence of questions
- python bot survey list of answers
- telegram bot store chat id in list
- telebot step by step questions

Excerpt, first 3,007 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 04e912c

Download folder ↗
git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

The author documents no install command, so this uses the repository directly. Our verdict covers commit 04e912cff54b only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 04e912cff54b

Questions about Telegram Bot Sequential Questionnaire With Telebot

What does the Telegram Bot Sequential Questionnaire With Telebot skill do?
AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
Is Telegram Bot Sequential Questionnaire With Telebot safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Telegram Bot Sequential Questionnaire With Telebot access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (04e912cff54b), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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