๐Ÿ›ก๏ธ SafeAgentSkills

DeFi Yield Scout

ยท v1.0.0

Low Risk

Scan and compare DeFi yield farming opportunities for USDC stablecoins across Base and Arbitrum chains. Find the best APY rates, compare vault yields, and analyze historical performance using DeFiLlama data. Covers protocols used by n0ir autonomous yield agent: Morpho, Euler v2, Aave v3, Compound v3, Moonwell, Silo v2, Lazy Summer, Harvest Finance, 40 Acres, Wasabi, Yo Protocol. Use for yield farming comparison, stablecoin returns, USDC rates, vault APY ranking, breakeven analysis between vaults, APY trend history, protocol risk overview, DeFi yield optimization, best stablecoin yields on Base, best USDC yields on Arbitrum, n0ir vault strategy, ERC-4626 vault comparison, yield aggregator analysis, TVL-weighted yield ranking, cross-chain yield comparison, gas-adjusted net returns.

H:2 D:4 A:1 C:1

โš ๏ธ Hazard Flags

FS_READ_WORKSPACE FS_WRITE_WORKSPACE NET_EGRESS_ANY PI_WEB

๐Ÿ“‹ Capabilities

Execution

  • โŒ Shell execution
  • โŒ Code execution
  • โŒ Install dependencies
  • โŒ Persistence
  • Privilege: user

Filesystem

  • โœ… Read workspace
  • โœ… Write workspace
  • โŒ Read home
  • โŒ Write home
  • โŒ Read system
  • โŒ Delete

Network

  • Egress: any
  • โŒ Ingress

Credentials

  • โŒ Environment vars
  • โŒ Credential files
  • โŒ Browser data
  • โŒ Keychain

Actions

โŒ send messagesโŒ post publicโŒ purchaseโŒ transfer moneyโŒ deployโŒ delete external

๐Ÿ”’ Containment

Level: maximum

Recommended:
  • LOG_ACTIONS: Audit trail for all actions

โšก Risks

Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION low

Mitigation: Provide clear, detailed description of skill functionality

Data exfiltration patterns: DATA_EXFIL_NETWORK_REQUESTS medium

Mitigation: Ensure network access is necessary and documented

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๐Ÿšจ Incident Response

Kill switch: Stop the agent process

Containment: Review logs for unexpected actions

Recovery: Depends on skill capabilities

๐Ÿ“„ Raw SSDS JSON click to expand
{
  "meta": {
    "document_id": "ssds:auto:defi-yield-scout:1.0.0",
    "ssds_version": "0.2.0",
    "scanner_version": "0.4.0+fe6fd9123d50",
    "created_at": "2026-03-05T13:43:17.376Z",
    "created_by": {
      "agent": "safeagentskills-cli/generate-ssds"
    },
    "language": "en",
    "notes": "Auto-generated SSDS. Manual review recommended."
  },
  "skill": {
    "name": "DeFi Yield Scout",
    "version": "1.0.0",
    "format": "agent_skill",
    "description": "Scan and compare DeFi yield farming opportunities for USDC stablecoins across Base and Arbitrum chains. Find the best APY rates, compare vault yields, and analyze historical performance using DeFiLlama data. Covers protocols used by n0ir autonomous yield agent: Morpho, Euler v2, Aave v3, Compound v3, Moonwell, Silo v2, Lazy Summer, Harvest Finance, 40 Acres, Wasabi, Yo Protocol. Use for yield farming comparison, stablecoin returns, USDC rates, vault APY ranking, breakeven analysis between vaults, APY trend history, protocol risk overview, DeFi yield optimization, best stablecoin yields on Base, best USDC yields on Arbitrum, n0ir vault strategy, ERC-4626 vault comparison, yield aggregator analysis, TVL-weighted yield ranking, cross-chain yield comparison, gas-adjusted net returns.",
    "publisher": "unknown",
    "source": {
      "channel": "local"
    },
    "artifact": {
      "sha256": "f83ba8aa37a002a4542feba353c10cf9fb78cdcf340d0e93ac145c9ce5531c1e",
      "hash_method": "files_sorted"
    }
  },
  "capabilities": {
    "execution": {
      "can_exec_shell": false,
      "can_exec_code": false,
      "privilege_level": "user",
      "can_install_deps": false,
      "can_persist": false
    },
    "filesystem": {
      "reads_workspace": true,
      "reads_user_home": false,
      "reads_system": false,
      "writes_workspace": true,
      "writes_user_home": false,
      "writes_system": false,
      "can_delete": false
    },
    "network": {
      "egress": "any",
      "ingress": false
    },
    "credentials": {
      "reads_env_vars": false,
      "reads_credential_files": false,
      "reads_browser_data": false,
      "reads_keychain": false
    },
    "services": [],
    "actions": {
      "can_send_messages": false,
      "can_post_public": false,
      "can_purchase": false,
      "can_transfer_money": false,
      "can_deploy": false,
      "can_delete_external": false
    },
    "prompt_injection_surfaces": [
      "web"
    ],
    "content_types": [
      "general"
    ]
  },
  "hazards": {
    "hdac": {
      "H": 2,
      "D": 4,
      "A": 1,
      "C": 1
    },
    "flags": [
      "FS_READ_WORKSPACE",
      "FS_WRITE_WORKSPACE",
      "NET_EGRESS_ANY",
      "PI_WEB"
    ],
    "custom_flags": [
      {
        "code": "SOCIAL_ENGINEERING",
        "name": "Social Engineering Risk",
        "description": "SOCIAL_ENG_VAGUE_DESCRIPTION: Skill description is too vague or missing"
      },
      {
        "code": "DATA_EXFILTRATION",
        "name": "Data Exfiltration Risk",
        "description": "DATA_EXFIL_NETWORK_REQUESTS: HTTP client library imports that enable external communication"
      }
    ],
    "confidence": {
      "level": "medium",
      "basis": [
        "static_analysis"
      ],
      "notes": "Detected 2 security patterns (2 vendored rule hits). Review recommended."
    },
    "rationale": {
      "H": "H2: Filesystem writes or ingress detected",
      "D": "D4: Critical: Credential theft or data exfiltration",
      "A": "A1: Local side effects only",
      "C": "C1: General content"
    }
  },
  "containment": {
    "level": "maximum",
    "required": [],
    "recommended": [
      {
        "control": "LOG_ACTIONS",
        "reason": "Audit trail for all actions"
      }
    ],
    "uncontained_risk": "Risk level depends on manual review of actual capabilities."
  },
  "risks": {
    "risks": [
      {
        "risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION",
        "severity": "low",
        "mitigation": "Provide clear, detailed description of skill functionality"
      },
      {
        "risk": "Data exfiltration patterns: DATA_EXFIL_NETWORK_REQUESTS",
        "severity": "medium",
        "mitigation": "Ensure network access is necessary and documented"
      }
    ],
    "limitations": [
      "Static analysis only - runtime behavior not verified"
    ]
  },
  "incident_response": {
    "kill_switch": [
      "Stop the agent process"
    ],
    "containment": [
      "Review logs for unexpected actions"
    ],
    "recovery": [
      "Depends on skill capabilities"
    ]
  },
  "evidence": [
    {
      "evidence_id": "EV:file-1",
      "type": "file_excerpt",
      "title": "scripts/yield_scout.py",
      "file_path": "scripts/yield_scout.py"
    },
    {
      "evidence_id": "EV:file-2",
      "type": "file_excerpt",
      "title": "SKILL.md",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:file-3",
      "type": "file_excerpt",
      "title": "_meta.json",
      "file_path": "_meta.json"
    },
    {
      "evidence_id": "EV:cisco-1",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/yield_scout.py:15: import urllib.request",
      "file_path": "scripts/yield_scout.py"
    },
    {
      "evidence_id": "EV:cisco-2",
      "type": "file_excerpt",
      "title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
      "file_path": "SKILL.md"
    }
  ]
}