# Send Uniswap Assess Risk to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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

```text
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.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "assess-risk",
    "name": "Uniswap Assess Risk",
    "source": "tencent",
    "type": "skill",
    "category": "安全合规",
    "sourceUrl": "https://clawhub.ai/wpank/assess-risk",
    "canonicalUrl": "https://clawhub.ai/wpank/assess-risk",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/assess-risk",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=assess-risk",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "README.md",
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/assess-risk"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/assess-risk",
    "downloadUrl": "https://openagent3.xyz/downloads/assess-risk",
    "agentUrl": "https://openagent3.xyz/skills/assess-risk/agent",
    "manifestUrl": "https://openagent3.xyz/skills/assess-risk/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/assess-risk/agent.md"
  }
}
```
## Documentation

### Overview

Provides an independent, multi-dimensional risk assessment for any proposed Uniswap operation. Delegates to the risk-assessor agent, which evaluates risk across 5+ dimensions and produces a composite score with a clear APPROVE, CONDITIONAL_APPROVE, VETO, or HARD_VETO decision.

The risk-assessor is a terminal node — it cannot be influenced by other agents. Its assessment is independent and objective, based solely on on-chain data.

### When to Use

Activate when the user asks:

"Is this trade safe?"
"Risk assessment for swapping 100 ETH for USDC"
"Should I LP in this pool?"
"Evaluate the risk of swapping X for Y"
"How risky is this pool?"
"Is it safe to bridge tokens to Base?"
"What's the risk of LPing with this token?"
"Check if this token is safe to trade"
"Risk check before I swap"

### Parameters

ParameterRequiredDefaultHow to ExtractoperationYes—Natural language description of what the user wants to doriskToleranceNomoderate"conservative", "moderate", "aggressive"

The operation parameter is flexible — it can be:

A swap: "swap 100 ETH for USDC on Ethereum"
An LP action: "add $50K liquidity to WETH/USDC V3 0.05%"
A bridge: "bridge 10 ETH from Ethereum to Base"
A token check: "is PEPE safe to trade?"
A pool check: "is the UNI/WETH pool risky?"

### Workflow

Parse the operation from the user's request. Identify:

Operation type: swap, add liquidity, remove liquidity, bridge, or token check
Tokens involved
Amounts
Chain(s)
Pool (if applicable)



Delegate to risk-assessor: Invoke Task(subagent_type:risk-assessor) with the parsed operation details and risk tolerance. The agent evaluates:
DimensionWhat It ChecksSlippagePrice impact for the trade size vs pool liquidityImpermanent LossExpected IL based on pair volatility (LP operations only)LiquidityCan the position be exited? TVL vs position size ratioSmart ContractPool age, Uniswap version, hook audit status (V4)BridgeBridge mechanism reliability, liquidity (cross-chain only)


Present the assessment clearly with per-dimension scores and a final decision.

### Output Format

Risk Assessment

  Operation: Swap 100 ETH for USDC on Ethereum
  Risk Tolerance: Moderate
  Decision: APPROVE

  Risk Dimensions:
    Slippage:        LOW  (0.3% price impact — sufficient liquidity)
    Liquidity:       LOW  (TVL 250x trade size — deep pool)
    Smart Contract:  LOW  (V3 pool, 18 months old, battle-tested)
    Bridge:          N/A  (not a cross-chain operation)

  Composite Risk: LOW
  
  Conditions: None — safe to proceed

  HARD VETO Checks:
    ✓ Verified tokens
    ✓ Pool TVL > $1,000
    ✓ Price impact < 10%

### For a VETO:

Risk Assessment

  Operation: LP $50K into NEWTOKEN/WETH 0.3% V4 (Ethereum)
  Risk Tolerance: Conservative
  Decision: VETO

  Risk Dimensions:
    Slippage:        MEDIUM  (1.2% entry impact due to low liquidity)
    Impermanent Loss: HIGH   (>25% annual estimate — extremely volatile pair)
    Liquidity:       HIGH    (TVL only 8x position size — exit risk)
    Smart Contract:  HIGH    (V4 pool with unaudited hook contract)
    Bridge:          N/A

  Composite Risk: HIGH (exceeds conservative tolerance)

  Why VETO:
    - Impermanent loss estimate exceeds 20% annually
    - V4 hook contract is unaudited — elevated smart contract risk
    - Position would represent 12% of pool TVL — concentration risk

  Mitigations (if you still want to proceed):
    - Reduce position size to < 1% of pool TVL ($4,200)
    - Use a wider range to reduce IL exposure
    - Wait for hook contract audit
    - Switch to risk tolerance "aggressive" (not recommended)

### For a HARD VETO:

Risk Assessment

  Operation: Swap 1000 ETH for SCAMTOKEN
  Decision: HARD VETO (non-overridable)

  HARD VETO Trigger: Unverified token contract
  
  SCAMTOKEN (0x1234...5678) failed verification:
    - Not on any verified token list
    - Contract deployed < 24 hours ago
    - No trading history

  This operation CANNOT proceed regardless of risk tolerance.
  Hard vetoes protect against potential rug pulls and scam tokens.

  Suggestion: Use "research-token SCAMTOKEN" to investigate further.

### Important Notes

The risk-assessor is a terminal, independent node. Its assessment cannot be overridden by other agents.
HARD VETO decisions are non-negotiable — they trigger for: unverified tokens, pool TVL < $1K, price impact > 10%, bridge amount exceeding bridge liquidity.
This skill assesses risk but does not execute any operations. It's a "should I?" check before acting.
For LP operations, IL risk is always evaluated alongside the other dimensions.
When data is insufficient, the risk-assessor defaults to HIGH risk for the affected dimension rather than guessing.

### Error Handling

ErrorUser-Facing MessageSuggested ActionCannot parse operation"I need more details. What exactly are you planning?"Ask user to describe the operationToken not found"Could not find token X."Provide contract addressPool data unavailable"Cannot access pool data for risk analysis."Try again laterAgent unavailable"Risk assessor is not available."Check agent configuration
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: wpank
- Version: 0.1.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-23T16:43:11.935Z
- Expires at: 2026-04-30T16:43:11.935Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/assess-risk)
- [Send to Agent page](https://openagent3.xyz/skills/assess-risk/agent)
- [JSON manifest](https://openagent3.xyz/skills/assess-risk/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/assess-risk/agent.md)
- [Download page](https://openagent3.xyz/downloads/assess-risk)