AI-friendly Web3 investment infrastructure for autonomous agents. Use when (1) discovering and analyzing DeFi/NFT investment opportunities, (2) executing secure transactions via local keystore signer REST API with preview-approve-execute state machine, (3) managing portfolio with dashboards and expiry alerts. Supports base and ethereum chains, configurable security constraints including whitelist protection, transaction limits, and mandatory simulation before execution.
โ ๏ธ Hazard Flags
๐ Capabilities
Execution
- โ Shell execution
- โ Code execution
- โ Install dependencies
- โ Persistence
- Privilege: user
Filesystem
- โ Read workspace
- โ Write workspace
- โ Read home
- โ Write home
- โ Read system
- โ Delete
Network
- Egress: any
- โ Ingress
Credentials
- โ Environment vars
- โ Credential files
- โ Browser data
- โ Keychain
Actions
๐ Containment
Level: maximum
- SANDBOX_CONTAINER: Code execution capability
- LOG_ACTIONS: Audit trail for all actions
โก Risks
Mitigation: Avoid eval(), exec(), and compile(). Use safer alternatives like ast.literal_eval()
Mitigation: Provide clear, detailed description of skill functionality
Mitigation: Ensure network access is necessary and documented
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๐ง Deep Analysis โ $5.00๐จ Incident Response
Kill switch: Stop the agent process
Containment: Review logs for unexpected actions
Recovery: Depends on skill capabilities
๐ Raw SSDS JSON click to expand
{
"meta": {
"document_id": "ssds:auto:web3-investor:0.4.0",
"ssds_version": "0.2.0",
"scanner_version": "0.4.0+fe6fd9123d50",
"created_at": "2026-03-06T17:12:06.149Z",
"created_by": {
"agent": "safeagentskills-cli/generate-ssds"
},
"language": "en",
"notes": "Auto-generated SSDS. Manual review recommended."
},
"skill": {
"name": "Web3 Investor",
"version": "0.4.0",
"format": "agent_skill",
"description": "AI-friendly Web3 investment infrastructure for autonomous agents. Use when (1) discovering and analyzing DeFi/NFT investment opportunities, (2) executing secure transactions via local keystore signer REST API with preview-approve-execute state machine, (3) managing portfolio with dashboards and expiry alerts. Supports base and ethereum chains, configurable security constraints including whitelist protection, transaction limits, and mandatory simulation before execution.",
"publisher": "ClawHub",
"source": {
"channel": "clawhub",
"slug": "web3-investor",
"owner": "bevanding",
"downloads": 182,
"stars": 1
},
"artifact": {
"sha256": "d8d1ba7d0350c90158344b350c3ae2346adfb54da11333daec7d50f5f5503ff5",
"hash_method": "files_sorted"
}
},
"capabilities": {
"execution": {
"can_exec_shell": true,
"can_exec_code": false,
"privilege_level": "user",
"can_install_deps": false,
"can_persist": false
},
"filesystem": {
"reads_workspace": true,
"reads_user_home": true,
"reads_system": false,
"writes_workspace": true,
"writes_user_home": true,
"writes_system": false,
"can_delete": false
},
"network": {
"egress": "any",
"ingress": false
},
"credentials": {
"reads_env_vars": true,
"reads_credential_files": true,
"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": 4,
"D": 4,
"A": 1,
"C": 1
},
"flags": [
"EXEC",
"FS_READ_WORKSPACE",
"FS_READ_USER",
"FS_WRITE_WORKSPACE",
"FS_WRITE_USER",
"NET_EGRESS_ANY",
"CREDS_ENV",
"CREDS_FILES",
"PI_WEB"
],
"custom_flags": [
{
"code": "SOCIAL_ENGINEERING",
"name": "Social Engineering Risk",
"description": "SOCIAL_ENG_VAGUE_DESCRIPTION: Skill description is too vague or missing"
},
{
"code": "COMMAND_INJECTION",
"name": "Command Injection Risk",
"description": "COMMAND_INJECTION_EVAL: Dangerous code execution functions that can execute arbitrary code"
},
{
"code": "DATA_EXFILTRATION",
"name": "Data Exfiltration Risk",
"description": "DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_ENV_VARS: HTTP client library imports that enable external communication"
}
],
"confidence": {
"level": "medium",
"basis": [
"static_analysis"
],
"notes": "Detected 3 security patterns (10 vendored rule hits). Review recommended."
},
"rationale": {
"H": "H4: Critical: Privilege escalation or malware detected",
"D": "D4: Critical: Credential theft or data exfiltration",
"A": "A1: Local side effects only",
"C": "C1: General content"
}
},
"containment": {
"level": "maximum",
"required": [
{
"control": "SANDBOX_CONTAINER",
"reason": "Code execution capability"
}
],
"recommended": [
{
"control": "LOG_ACTIONS",
"reason": "Audit trail for all actions"
}
],
"uncontained_risk": "Risk level depends on manual review of actual capabilities."
},
"risks": {
"risks": [
{
"risk": "Command injection risk: COMMAND_INJECTION_EVAL",
"severity": "critical",
"mitigation": "Avoid eval(), exec(), and compile(). Use safer alternatives like ast.literal_eval()"
},
{
"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, DATA_EXFIL_ENV_VARS",
"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": "_meta.json",
"file_path": "_meta.json"
},
{
"evidence_id": "EV:file-2",
"type": "file_excerpt",
"title": "SKILL.md",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:file-3",
"type": "file_excerpt",
"title": "scripts/trading/whitelist.py",
"file_path": "scripts/trading/whitelist.py"
},
{
"evidence_id": "EV:file-4",
"type": "file_excerpt",
"title": "scripts/trading/trade_executor.py",
"file_path": "scripts/trading/trade_executor.py"
},
{
"evidence_id": "EV:file-5",
"type": "file_excerpt",
"title": "scripts/trading/simulate_tx.py",
"file_path": "scripts/trading/simulate_tx.py"
},
{
"evidence_id": "EV:file-6",
"type": "file_excerpt",
"title": "scripts/trading/safe_vault.py",
"file_path": "scripts/trading/safe_vault.py"
},
{
"evidence_id": "EV:file-7",
"type": "file_excerpt",
"title": "scripts/trading/eip681_payment.py",
"file_path": "scripts/trading/eip681_payment.py"
},
{
"evidence_id": "EV:file-8",
"type": "file_excerpt",
"title": "scripts/portfolio/indexer.py",
"file_path": "scripts/portfolio/indexer.py"
},
{
"evidence_id": "EV:file-9",
"type": "file_excerpt",
"title": "scripts/discovery/unified_search.py",
"file_path": "scripts/discovery/unified_search.py"
},
{
"evidence_id": "EV:file-10",
"type": "file_excerpt",
"title": "scripts/discovery/investment_profile.py",
"file_path": "scripts/discovery/investment_profile.py"
},
{
"evidence_id": "EV:cisco-1",
"type": "file_excerpt",
"title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:cisco-2",
"type": "file_excerpt",
"title": "COMMAND_INJECTION_EVAL [CRITICAL] scripts/trading/whitelist.py:73: \"added_at\": __import__(\"datetime\").datetime.utcnow().isoformat()",
"file_path": "scripts/trading/whitelist.py"
},
{
"evidence_id": "EV:cisco-3",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/trading/trade_executor.py:43: import urllib.request",
"file_path": "scripts/trading/trade_executor.py"
},
{
"evidence_id": "EV:cisco-4",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/trading/safe_vault.py:24: import urllib.request",
"file_path": "scripts/trading/safe_vault.py"
},
{
"evidence_id": "EV:cisco-5",
"type": "file_excerpt",
"title": "DATA_EXFIL_ENV_VARS [MEDIUM] scripts/trading/safe_vault.py:128: alchemy_key = os.environ.get(\"ALCHEMY_API_KEY\")",
"file_path": "scripts/trading/safe_vault.py"
},
{
"evidence_id": "EV:cisco-6",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/portfolio/indexer.py:15: import urllib.request",
"file_path": "scripts/portfolio/indexer.py"
},
{
"evidence_id": "EV:cisco-7",
"type": "file_excerpt",
"title": "DATA_EXFIL_ENV_VARS [MEDIUM] scripts/portfolio/indexer.py:59: api_key = os.environ.get(env_key) or os.environ.get(\"ETHERSCAN_API_KEY\")",
"file_path": "scripts/portfolio/indexer.py"
},
{
"evidence_id": "EV:cisco-8",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/discovery/find_opportunities.py:26: import urllib.request",
"file_path": "scripts/discovery/find_opportunities.py"
},
{
"evidence_id": "EV:cisco-9",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/discovery/dune_mcp.py:17: import urllib.request",
"file_path": "scripts/discovery/dune_mcp.py"
},
{
"evidence_id": "EV:cisco-10",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/discovery/analyze_protocol.py:13: import urllib.request",
"file_path": "scripts/discovery/analyze_protocol.py"
}
]
}