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Uniswap Research And Trade

Research a token and execute a trade if it passes due diligence. Autonomous research-to-trade pipeline: researches the token, evaluates risk, and only trades if the risk assessment approves. Stops and reports if risk is too high. Use when user wants "research X and buy if it looks good" or "due diligence then trade."

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Research a token and execute a trade if it passes due diligence. Autonomous research-to-trade pipeline: researches the token, evaluates risk, and only trades if the risk assessment approves. Stops and reports if risk is too high. Use when user wants "research X and buy if it looks good" or "due diligence then trade."

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. 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

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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Overview

This is the autonomous research-to-execution pipeline. Instead of manually calling four different agents and wiring their outputs together, this skill runs the full expert workflow in one command: research a token, find the best pool, assess risk, and -- only if the risk assessment approves -- execute the trade. Why this is 10x better than calling agents individually: Compound context: Each agent receives the accumulated findings from all prior agents. The risk-assessor doesn't just evaluate a swap in isolation -- it sees the token-analyst's liquidity warnings, the pool-researcher's depth analysis, and the exact trade size, enabling a far richer risk assessment than standalone invocation. Automatic risk gating: A VETO at any stage short-circuits the pipeline immediately. No wasted gas, no wasted time, and you get a full explanation of why. Single command for a 4-step expert workflow: Manually coordinating token research, pool selection, risk evaluation, and trade execution takes significant time and expertise. This compresses it into one natural-language request. Progressive disclosure: You see each stage's findings as they complete, not just a final result. If the pipeline stops at risk assessment, you still get the full research report.

When to Use

Activate when the user says anything like: "Research UNI and buy if it looks good" "Due diligence on AAVE then trade" "Investigate and trade ARB" "Should I buy LINK? If so, do it" "Is PEPE safe to trade? Buy $500 worth if yes" "Research X, assess risk, and swap if it passes" "Autonomous trade: research then execute" "Check out TOKEN and buy some if the risk is acceptable" Do NOT use when the user just wants research without trading (use research-token instead) or just wants to execute a swap without research (use execute-swap instead).

Parameters

ParameterRequiredDefaultHow to ExtracttokenYes--Token to research and potentially buy: "UNI", "AAVE", or 0x addramountYes--Trade size: "$500", "1 ETH worth", "0.5 ETH"chainNoethereumTarget chain: "ethereum", "base", "arbitrum"riskToleranceNomoderate"conservative", "moderate", "aggressive"actionNobuy"buy" (swap into token) or "sell" (swap out of token)payWithNoWETHToken to spend: "WETH", "USDC", etc. If the user doesn't provide an amount, ask for it -- never guess a trade size.

Workflow

RESEARCH-AND-TRADE PIPELINE โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”‚ Step 1: RESEARCH (token-analyst) โ”‚ โ”‚ โ”œโ”€โ”€ Token metadata, liquidity, volume, risk factors โ”‚ โ”‚ โ”œโ”€โ”€ Cross-chain presence โ”‚ โ”‚ โ””โ”€โ”€ Output: Token Research Report โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ–ผ (feeds into Step 2) โ”‚ โ”‚ โ”‚ โ”‚ Step 2: POOL ANALYSIS (pool-researcher) โ”‚ โ”‚ โ”œโ”€โ”€ Find all pools for {token}/{payWith} on {chain} โ”‚ โ”‚ โ”œโ”€โ”€ Rank by fee APY, depth, utilization โ”‚ โ”‚ โ”œโ”€โ”€ Analyze depth at trade size (can it handle $X?) โ”‚ โ”‚ โ””โ”€โ”€ Output: Pool Research Report + Best Pool Selection โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ–ผ (feeds into Step 3 with COMPOUND CONTEXT) โ”‚ โ”‚ โ”‚ โ”‚ Step 3: RISK ASSESSMENT (risk-assessor) โ”‚ โ”‚ โ”œโ”€โ”€ Receives: token risks + pool risks + trade size + slippage โ”‚ โ”‚ โ”œโ”€โ”€ Evaluates: slippage, liquidity, smart contract, token risk โ”‚ โ”‚ โ”œโ”€โ”€ Decision: APPROVE / CONDITIONAL_APPROVE / VETO / HARD_VETO โ”‚ โ”‚ โ””โ”€โ”€ Output: Risk Assessment Report โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ–ผ CONDITIONAL GATE โ”‚ โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”‚ APPROVE โ†’ Proceed to Step 4 โ”‚ โ”‚ โ”‚ โ”‚ COND. APPROVE โ†’ Show conditions, ask user โ”‚ โ”‚ โ”‚ โ”‚ VETO โ†’ STOP. Show research + reason. โ”‚ โ”‚ โ”‚ โ”‚ HARD VETO โ†’ STOP. Non-negotiable. โ”‚ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ”‚ โ”‚ (only if APPROVE or user confirms CONDITIONAL) โ”‚ โ”‚ โ–ผ โ”‚ โ”‚ โ”‚ โ”‚ Step 4: USER CONFIRMATION โ”‚ โ”‚ โ”œโ”€โ”€ Present: research summary + risk score + swap quote โ”‚ โ”‚ โ”œโ”€โ”€ Ask: "Proceed with this trade?" โ”‚ โ”‚ โ””โ”€โ”€ User must explicitly confirm โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ–ผ โ”‚ โ”‚ โ”‚ โ”‚ Step 5: EXECUTE (trade-executor) โ”‚ โ”‚ โ”œโ”€โ”€ Execute swap through safety-guardian pipeline โ”‚ โ”‚ โ”œโ”€โ”€ Monitor transaction confirmation โ”‚ โ”‚ โ””โ”€โ”€ Output: Trade Execution Report โ”‚ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Step 1: Research (token-analyst)

  • Delegate to Task(subagent_type:token-analyst) with:
  • Token symbol or address
  • Target chain
  • Request: full due diligence report
  • What to pass to the agent:
  • Research this token for a potential trade:
  • Token: {token}
  • Chain: {chain}
  • Trade size: {amount}
  • Provide a full due diligence report: liquidity across all pools, volume profile
  • (24h/7d/30d), risk factors, and a trading recommendation with maximum trade size
  • at < 1% price impact.
  • Present to user after completion:
  • Step 1/5: Token Research Complete
  • Token: UNI (Uniswap) on Ethereum
  • Total Liquidity: $85M across 24 pools
  • 24h Volume: $15M | 7d Volume: $95M
  • Volume Trend: Stable
  • Risk Factors: None significant
  • Max Trade (< 1% impact): $2.5M
  • Proceeding to pool analysis...
  • Gate check: If the token-analyst reports critical risk factors (total liquidity < $100K, no pools found, token not verified), present findings and ask the user if they want to continue before proceeding.

Step 2: Pool Analysis (pool-researcher)

  • Delegate to Task(subagent_type:pool-researcher) with the token research output:
  • Find the best pool for trading {token}/{payWith} on {chain}.
  • Context from token research:
  • Total liquidity: {from Step 1}
  • Dominant pool: {from Step 1}
  • Risk factors: {from Step 1}
  • Trade details:
  • Trade size: {amount}
  • Direction: {action} (buying/selling {token})
  • Analyze all pools for this pair across fee tiers. For each pool, report:
  • fee APY, TVL, liquidity depth at the trade size, and price impact estimate.
  • Recommend the best pool for this specific trade.
  • Present to user after completion:
  • Step 2/5: Pool Analysis Complete
  • Best Pool: WETH/UNI 0.3% (V3, Ethereum)
  • Pool TVL: $42M
  • Price Impact: ~0.3% for your trade size
  • Fee Tier: 0.3% (3000 bps)
  • Proceeding to risk assessment...

Step 3: Risk Assessment (risk-assessor)

Delegate to Task(subagent_type:risk-assessor) with compound context from Steps 1 and 2: Evaluate risk for this proposed swap: Operation: swap {amount} {payWith} for {token} Pool: {best pool from Step 2} Chain: {chain} Risk tolerance: {riskTolerance} Token research context (from token-analyst): {Full token research summary from Step 1} Pool analysis context (from pool-researcher): {Full pool analysis from Step 2} Evaluate all applicable risk dimensions: slippage, liquidity, smart contract risk. Provide a clear APPROVE / CONDITIONAL_APPROVE / VETO / HARD_VETO decision. Conditional gate logic after risk-assessor returns: DecisionActionAPPROVEPresent risk summary, proceed to Step 4 (user confirmation)CONDITIONAL_APPROVEShow conditions (e.g., "split into 2 tranches"). Ask user: "Accept conditions?"VETOSTOP. Show full research report + risk assessment + veto reason. Suggest alternatives.HARD_VETOSTOP. Show reason. Non-negotiable -- do not offer to proceed. Present to user (APPROVE case): Step 3/5: Risk Assessment Complete Decision: APPROVE Composite Risk: LOW Slippage Risk: LOW (0.3% estimated) Liquidity Risk: LOW (pool TVL 840x trade size) Smart Contract Risk: LOW (V3, 18-month-old pool) Ready for your confirmation... Present to user (VETO case): Step 3/5: Risk Assessment -- VETOED Decision: VETO Reason: Price impact of 4.2% exceeds moderate risk tolerance (max 2%) Research Summary: Token: SMALLCAP ($180K total liquidity) Best Pool: WETH/SMALLCAP 1% (V3, $95K TVL) Your trade size ($5,000) represents 5.3% of pool TVL Suggestions: - Reduce trade size to < $1,000 for acceptable slippage - Use a limit order instead: "Submit limit order for SMALLCAP" - Try a different chain if more liquidity exists elsewhere Pipeline stopped. No trade executed.

Step 4: User Confirmation

Before executing any trade, present a clear summary and ask for explicit confirmation: Trade Confirmation Required Research: UNI โ€” $85M liquidity, stable volume, no risk factors Risk: APPROVED (LOW composite risk) Swap Details: Sell: 0.5 WETH (~$980) Buy: ~28.5 UNI Pool: WETH/UNI 0.3% (V3, Ethereum) Impact: ~0.3% Gas: ~$8 estimated Proceed with this trade? (yes/no) Only proceed to Step 5 if the user explicitly confirms.

Step 5: Execute (trade-executor)

  • Delegate to Task(subagent_type:trade-executor) with the full pipeline context:
  • Execute this swap:
  • Sell: {amount} {payWith}
  • Buy: {token}
  • Pool: {best pool address from Step 2}
  • Chain: {chain}
  • Slippage tolerance: {derived from risk assessment}
  • Risk assessment: APPROVED, composite risk {level}
  • The token has been researched (liquidity: {X}, volume: {Y}) and risk-assessed
  • (slippage: {Z}, liquidity: {W}). Proceed with execution through the safety pipeline.
  • Present final result:
  • Step 5/5: Trade Executed
  • Sold: 0.5 WETH ($980.00)
  • Received: 28.72 UNI ($985.50)
  • Pool: WETH/UNI 0.3% (V3, Ethereum)
  • Slippage: 0.28% (within tolerance)
  • Gas: $7.20
  • Tx: https://etherscan.io/tx/0x...
  • โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
  • Pipeline Summary
  • โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
  • Research: UNI โ€” $85M liquidity, stable, no risk flags
  • Pool: WETH/UNI 0.3% โ€” best depth for trade size
  • Risk: APPROVED (LOW)
  • Execution: Success โ€” 28.72 UNI received
  • Total cost: $987.20 (trade + gas)

Successful Pipeline (all 5 steps)

Research and Trade Complete Token: {symbol} ({name}) on {chain} Research: {1-line summary from token-analyst} Pool: {pool pair} {fee}% ({version}, {chain}) Risk: {decision} ({composite_risk}) Trade: Sold: {amount} {payWith} (${usd_value}) Received: {amount} {token} (${usd_value}) Impact: {slippage}% Gas: ${gas_cost} Tx: {explorer_link} Pipeline: Research -> Pool -> Risk -> Confirm -> Execute (all passed)

Vetoed Pipeline (stopped at risk)

Research and Trade -- Risk Vetoed Token: {symbol} ({name}) on {chain} Research: {1-line summary} Pool: {best pool found} Risk: VETOED โ€” {reason} Details: {risk dimension scores} Suggestions: - {mitigation 1} - {mitigation 2} Pipeline: Research -> Pool -> Risk (VETOED) -- No trade executed.

Important Notes

This skill always researches first. It never skips to trading. If the user just wants a quick swap without research, redirect them to execute-swap. Risk gating is non-negotiable for HARD_VETO. If the risk-assessor issues a HARD_VETO (unverified token, pool TVL < $1K, price impact > 10%), the pipeline stops. The user cannot override this. VETO is informational. For a regular VETO, present the full research and explain why. The user can then choose to use execute-swap directly if they want to proceed at their own risk -- but this skill will not do it. Compound context is the key differentiator. The risk-assessor is dramatically more useful when it has the token-analyst's risk factors and the pool-researcher's depth analysis, compared to calling it standalone with just a swap request. Progressive output keeps the user informed. Don't wait until the end to show results. After each agent completes, show a brief summary so the user knows what's happening. Amount is required. Never assume a trade size. If the user says "research and buy UNI" without an amount, ask: "How much would you like to trade?"

Error Handling

ErrorUser-Facing MessageSuggested ActionToken not found"Could not find token {X} on {chain}."Check spelling or provide contract addressNo pools found"No Uniswap pools found for {token}/{payWith} on {chain}."Try different pay token or chainToken-analyst fails"Token research failed: {reason}. Cannot proceed without due diligence."Try again or use research-token directlyPool-researcher fails"Pool analysis failed. Research completed but cannot find optimal pool."Try execute-swap with manual pool choiceRisk-assessor VETO"Risk assessment vetoed this trade: {reason}."Reduce amount, try different token/poolRisk-assessor HARD_VETO"Trade blocked: {reason}. This cannot be overridden."The trade is unsafe at any sizeTrade-executor fails"Trade execution failed: {reason}. Research and risk data preserved."Check wallet, balance, gas; retrySafety check fails"Safety limits exceeded. Check spending limits with check-safety."Wait for limit reset or adjust limitsUser declines confirmation"Trade cancelled. Research and risk data are shown above for reference."No action neededWallet not configured"No wallet configured. Cannot execute trades."Set up wallet with setup-agent-walletInsufficient balance"Insufficient {payWith} balance: have {X}, need {Y}."Reduce amount or acquire more tokens

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs
  • SKILL.md Primary doc
  • README.md Docs