telegram-field-bot — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited telegram-field-bot (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Field workers need simple tools. Telegram bots provide instant communication, photo sharing, and task management without training or app downloads.
"Telegram for field ops: Real-time task assignment and status updates" — DDC Community
| Feature | Benefit |
|---|---|
| No training | Workers already use Telegram |
| Works offline | Messages sync when connected |
| Photos/videos | Easy visual documentation |
| Groups | Team coordination |
| Bots | Automated workflows |
| Free | No per-user licensing |
┌─────────────────────────────────────────────────────────────────┐
│ TELEGRAM FIELD BOT │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Field Worker Bot n8n │
│ ──────────── ─── ─── │
│ │
│ 📱 Send photo ───▶ 🤖 Receive ───▶ ⚙️ Process │
│ 📝 Text report 📋 Parse 📊 Store │
│ 📍 Location 🏷️ Classify 📧 Notify │
│ ✅ Confirm 📈 Dashboard │
│ │
└─────────────────────────────────────────────────────────────────┘1. Open Telegram, search @BotFather
2. Send /newbot
3. Name: "SiteReport Bot"
4. Username: "sitereport_company_bot"
5. Copy the API token{
"workflow": "Telegram Field Reporting",
"nodes": [
{
"name": "Telegram Trigger",
"type": "Telegram",
"event": "message",
"token": "YOUR_BOT_TOKEN"
},
{
"name": "Parse Message",
"type": "Code",
"code": "Parse message type: text, photo, location"
},
{
"name": "Route by Type",
"type": "Switch",
"rules": ["photo", "text", "location", "command"]
},
{
"name": "Process Photo",
"type": "OpenAI Vision",
"prompt": "Describe this construction site photo. Identify: progress, issues, safety concerns."
},
{
"name": "Save to Database",
"type": "PostgreSQL",
"operation": "insert"
},
{
"name": "Confirm to User",
"type": "Telegram",
"action": "sendMessage",
"text": "✅ Report received! ID: {{report_id}}"
}
]
}# /start - Welcome and instructions
# /report - Start daily report
# /photo - Upload site photo
# /issue - Report issue
# /progress - Update progress
# /weather - Log weather conditions
# /safety - Safety observation
# /help - Show commandsfrom telegram import Update, ReplyKeyboardMarkup
from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes
import asyncio
# Bot token from BotFather
TOKEN = "YOUR_BOT_TOKEN"
# Keyboards
main_keyboard = ReplyKeyboardMarkup([
["📸 Photo Report", "📝 Text Report"],
["⚠️ Issue", "✅ Progress"],
["🌤️ Weather", "🦺 Safety"]
], resize_keyboard=True)
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Welcome message"""
await update.message.reply_text(
"👷 Site Report Bot\n\n"
"Use the buttons below to submit reports.\n"
"All reports are automatically logged and processed.",
reply_markup=main_keyboard
)
async def handle_photo(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Process photo submissions"""
photo = update.message.photo[-1] # Highest resolution
file = await photo.get_file()
# Download photo
photo_path = f"photos/{update.message.chat.id}_{photo.file_id}.jpg"
await file.download_to_drive(photo_path)
# Get caption (description)
caption = update.message.caption or "No description"
# Get location if available
location = None
if update.message.location:
location = {
"lat": update.message.location.latitude,
"lon": update.message.location.longitude
}
# Save to database (via n8n webhook or direct)
report = {
"type": "photo",
"user_id": update.message.from_user.id,
"username": update.message.from_user.username,
"photo_path": photo_path,
"caption": caption,
"location": location,
"timestamp": update.message.date.isoformat()
}
# Send to n8n for processing
# requests.post("https://n8n.company.com/webhook/photo-report", json=report)
await update.message.reply_text(
f"✅ Photo received!\n"
f"📝 Description: {caption}\n"
f"🕐 Time: {update.message.date.strftime('%H:%M')}\n\n"
"Photo will be analyzed and added to daily report."
)
async def handle_text(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Process text reports"""
text = update.message.text
# Route based on button pressed
if text == "📸 Photo Report":
await update.message.reply_text("📸 Send a photo of the site with a description.")
elif text == "📝 Text Report":
await update.message.reply_text("📝 Type your progress report:")
elif text == "⚠️ Issue":
await update.message.reply_text(
"⚠️ Describe the issue:\n"
"- What is the problem?\n"
"- Where is it located?\n"
"- How urgent? (High/Medium/Low)"
)
elif text == "✅ Progress":
await update.message.reply_text(
"✅ Update progress:\n"
"- What work was completed?\n"
"- Percentage complete?\n"
"- Any blockers?"
)
elif text == "🌤️ Weather":
await update.message.reply_text(
"🌤️ Weather conditions:\n"
"- Temperature?\n"
"- Conditions? (Clear/Rain/Snow/Wind)\n"
"- Impact on work?"
)
elif text == "🦺 Safety":
await update.message.reply_text(
"🦺 Safety observation:\n"
"- What did you observe?\n"
"- Location?\n"
"- Action taken?"
)
else:
# Regular text report
report = {
"type": "text",
"user_id": update.message.from_user.id,
"username": update.message.from_user.username,
"text": text,
"timestamp": update.message.date.isoformat()
}
await update.message.reply_text("✅ Report logged!")
def main():
"""Start the bot"""
app = Application.builder().token(TOKEN).build()
app.add_handler(CommandHandler("start", start))
app.add_handler(MessageHandler(filters.PHOTO, handle_photo))
app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_text))
print("Bot started...")
app.run_polling()
if __name__ == "__main__":
main()def generate_daily_report(project_id: str, date: str) -> str:
"""Aggregate all Telegram reports into daily summary"""
# Fetch all reports for the day
reports = db.query("""
SELECT * FROM telegram_reports
WHERE project_id = ? AND DATE(timestamp) = ?
ORDER BY timestamp
""", [project_id, date])
# Group by type
photos = [r for r in reports if r['type'] == 'photo']
issues = [r for r in reports if r['type'] == 'issue']
progress = [r for r in reports if r['type'] == 'progress']
# Generate summary with LLM
summary = llm.summarize(f"""
Daily reports for {date}:
Photos submitted: {len(photos)}
Issues reported: {len(issues)}
Progress updates: {len(progress)}
Details:
{json.dumps(reports, indent=2)}
Generate a concise daily report summary.
""")
return summary# Track messages in project groups
async def handle_group_message(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Log important messages from project groups"""
# Only log messages with keywords
keywords = ["delay", "issue", "problem", "complete", "delivered", "inspection"]
text = update.message.text.lower()
if any(kw in text for kw in keywords):
log_message({
"group_id": update.message.chat.id,
"group_name": update.message.chat.title,
"user": update.message.from_user.username,
"text": update.message.text,
"timestamp": update.message.date.isoformat()
})pip install python-telegram-bot requests~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.