Tencent SkillHub · AI

Base Trader

Autonomous crypto trading on Base via Bankr. Use for trading tokens, monitoring launches, executing strategies, or managing a trading portfolio. Triggers on "trade", "buy", "sell", "launch", "snipe", "profit", "PnL", "portfolio balance", or any crypto trading task on Base.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL.md, data/performance.json, data/trades.json, references/automation-strategies.md, references/execution.md

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.1.1

Provenance

Publisher: sp0oby
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 29 sections Open source page

Base Trader 📈

Autonomous trading system for Base chain via Bankr API.

Philosophy

"The market is a machine for transferring wealth from the impatient to the patient." This skill prioritizes capital preservation over aggressive gains. Every trade has defined risk parameters. No YOLO.

Prerequisites

Bankr API configured at ~/.clawdbot/skills/bankr/config.json ETH in your Bankr wallet for gas and trading Check your wallet address with: bankr.sh "What is my wallet address?"

1. Risk Management (NON-NEGOTIABLE)

MAX_POSITION_SIZE = 10% of portfolio MAX_SINGLE_TRADE = $50 USD STOP_LOSS = -15% from entry TAKE_PROFIT = +30% minimum target MAX_DAILY_LOSS = -20% of starting balance If daily loss limit hit → STOP TRADING FOR 24 HOURS.

2. Entry Criteria (ALL must pass)

Before ANY buy: Liquidity > $10k Contract verified on Basescan No honeypot indicators (can sell) Not on known scam list Age > 5 minutes (avoid rugs at launch) Price action shows accumulation, not dump

3. Exit Rules

Take Profit (scale out): 25% at +30% 25% at +50% 25% at +100% Hold 25% moonbag Stop Loss: Hard stop at -15% No averaging down on losers

Strategy 1: Launch Sniper (HIGH RISK)

Monitor new token launches, enter early with small size. # Check trending/new tokens scripts/bankr.sh "What tokens are trending on Base?" # Research before buying scripts/bankr.sh "What's the liquidity for TOKEN on Base?" # Small entry scripts/bankr.sh "Buy $20 of TOKEN on Base" Rules: Max $20 per snipe Sell 50% at 2x, rest at 5x or stop loss Max 3 snipes per day

Strategy 2: Momentum Trading (MEDIUM RISK)

Trade established tokens showing strength. Entry signals: Price > 20-period MA Volume increasing Higher lows forming # Check momentum scripts/bankr.sh "Do technical analysis on TOKEN" # Enter with limit order scripts/bankr.sh "Buy $30 of TOKEN if price drops to X"

Strategy 3: DCA Blue Chips (LOW RISK)

Steady accumulation of proven tokens. # Weekly DCA scripts/bankr.sh "DCA $20 into ETH every week on Base" scripts/bankr.sh "DCA $10 into USDC every week on Base"

Check Portfolio

~/clawd/skills/bankr/scripts/bankr.sh "Show my portfolio on Base"

Execute Trade

~/clawd/skills/bankr/scripts/bankr.sh "Buy $25 of TOKEN on Base"

Set Stop Loss

~/clawd/skills/bankr/scripts/bankr.sh "Set stop loss for TOKEN at -15%"

Check Price

~/clawd/skills/bankr/scripts/bankr.sh "What's the price of TOKEN on Base?"

Trade Journal

Log every trade to data/trades.json: { "timestamp": "2026-01-28T12:00:00Z", "action": "BUY", "token": "TOKEN", "amount_usd": 25, "price": 0.001, "reason": "Launch snipe - verified contract, good liquidity", "tx": "0x..." } After each trade, update the journal. Review weekly for pattern analysis.

Morning (9 AM)

Check portfolio balance Review overnight price action Identify opportunities Set limit orders for the day

Midday (1 PM)

Check open positions Adjust stop losses if in profit Take profits if targets hit

Evening (6 PM)

Close any day trades Log all trades to journal Calculate daily PnL Review what worked/didn't

Red Flags (DO NOT TRADE)

Honeypot (can't sell) Liquidity < $5k Unverified contract Team anonymous with no track record Promises of guaranteed returns Excessive tax (>10%) Locked liquidity < 30 days Price already 10x+ from launch

Performance Tracking

Track in data/performance.json: { "start_date": "2026-01-28", "starting_balance_usd": 100, "current_balance_usd": 100, "total_trades": 0, "winning_trades": 0, "losing_trades": 0, "win_rate": 0, "total_pnl_usd": 0, "best_trade": null, "worst_trade": null }

Safety Overrides

If ANY of these occur, STOP ALL TRADING: Daily loss > 20% 3 consecutive losing trades Portfolio down > 30% from ATH Unexpected error in execution Market-wide crash (ETH -20% in 24h) Wait 24 hours, reassess, then resume with smaller size.

Autonomous Trading Mode

When running autonomously (via cron or heartbeat):

Morning Scan (9 AM)

Check portfolio balance Review overnight price action on holdings Scan for new opportunities Set limit orders for the day

Midday Check (1 PM)

Monitor open positions Adjust trailing stops on winners Take profits if targets hit Log any executed trades

Evening Review (6 PM)

Close day trades if any Calculate daily PnL Update performance.json Generate summary for user

Execution Commands

# Morning ~/clawd/skills/bankr/scripts/bankr.sh "Show my portfolio on Base" ~/clawd/skills/bankr/scripts/bankr.sh "What tokens are trending on Base?" # Execute trade ~/clawd/skills/bankr/scripts/bankr.sh "Buy $25 of TOKEN on Base" # Set protection ~/clawd/skills/bankr/scripts/bankr.sh "Set stop loss for TOKEN at -15%" # Take profit ~/clawd/skills/bankr/scripts/bankr.sh "Sell 25% of my TOKEN on Base"

Core Trading

references/strategies.md - Detailed strategy breakdowns references/token-analysis.md - How to analyze tokens references/risk-management.md - Position sizing formulas

Market & Research

references/market-analysis.md - Reading market conditions references/market-research-bankr.md - Bankr research commands

Execution

references/execution.md - Order types and execution references/automation-strategies.md - Automated trading setups references/launch-sniping.md - New token launch guide

Advanced

references/leverage-guide.md - Leveraged trading (high risk) "The goal is not to make money on every trade. The goal is to be profitable over time."

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

4 Docs2 Config

SKILL.md Primary doc
README.md Docs
references/automation-strategies.md Docs
references/execution.md Docs
data/performance.json Config
data/trades.json Config