telegram-arbitrum-smart-money-tracker — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited telegram-arbitrum-smart-money-tracker (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.
Tracks profitable wallets on Arbitrum and alerts on new positions.
from lib.gumloop_telegram import BotConfig, send_alert, build_alert, ScheduledBot, escape_md
import requests, os, json, timeconfig = BotConfig(bot_token=os.environ["TELEGRAM_BOT_TOKEN"], chat_id=os.environ["TELEGRAM_CHAT_ID"])
EXPLORER = "https://arbiscan.io"
WALLETS = os.environ.get("SMART_WALLETS", "").split(",")def trades(w, mins=30):
since = int(time.time()) - mins * 60
url = f"{EXPLORER}/api?module=account&action=tokentx&address={w}&sort=desc"
r = requests.get(url, timeout=15).json()
return [t for t in r.get("result", []) if int(t.get("timeStamp", 0)) >= since]
def poll():
for w in WALLETS:
for t in trades(w.strip()):
typ = "BUY" if t["to"].lower() == w.strip().lower() else "SELL"
em = "🟢" if typ == "BUY" else "🔴"
send_alert(config, f"{em} *Smart {typ} on Arbitrum*\nWallet: `{w[:6]}...`\nToken: {escape_md(t['tokenSymbol'])}\n[Tx]({EXPLORER}/tx/{t['hash']})")FROM python:3.11-slim
WORKDIR /app
RUN pip install lib-gumloop-telegram requests
COPY bot.py .
CMD ["python", "bot.py"]docker build -t tg-arb-smart .
docker run -d -e TELEGRAM_BOT_TOKEN=x -e TELEGRAM_CHAT_ID=y -e SMART_WALLETS=0xWallet1,0xWallet2 tg-arb-smartPast performance does not guarantee future results. Not financial advice.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.