trading212 Skill
ยท v1.0.0
Analyzes Trading212 portfolio, generates daily summaries with P&L and top gainers/losers, makes trade proposals based on configurable rules, and can place orders. Also supports dividend overview, order history, watchlist with price alerts, and portfolio allocation analysis with rebalancing proposals. Use when the user asks about portfolio, daily performance, trade actions, or requests a portfolio overview.
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
- LOG_ACTIONS: Audit trail for all actions
โก Risks
Mitigation: Review SKILL.md for hidden instructions. Do not use with untrusted input.
Mitigation: Avoid instructing agents to install arbitrary binaries; bundle dependencies or use sandboxed environments
Mitigation: Remove SQL exploitation patterns.
Mitigation: Provide clear, detailed description of skill functionality
Mitigation: Do not access credential files or sensitive system files
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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:trading212:1.0.0",
"ssds_version": "0.2.0",
"scanner_version": "0.4.0+fe6fd9123d50",
"created_at": "2026-03-05T13:20:57.684Z",
"created_by": {
"agent": "safeagentskills-cli/generate-ssds"
},
"language": "en",
"notes": "Auto-generated SSDS. Manual review recommended."
},
"skill": {
"name": "trading212 Skill",
"version": "1.0.0",
"format": "agent_skill",
"description": "Analyzes Trading212 portfolio, generates daily summaries with P&L and top gainers/losers, makes trade proposals based on configurable rules, and can place orders. Also supports dividend overview, order history, watchlist with price alerts, and portfolio allocation analysis with rebalancing proposals. Use when the user asks about portfolio, daily performance, trade actions, or requests a portfolio overview.",
"publisher": "unknown",
"source": {
"channel": "local"
},
"artifact": {
"sha256": "3b9d1e4fa0e1816848c4c13c4bed8cb966080a017d46458fe95617a6e7f0f4d1",
"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": true,
"reads_system": false,
"writes_workspace": false,
"writes_user_home": false,
"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",
"documents"
],
"content_types": [
"general"
]
},
"hazards": {
"hdac": {
"H": 4,
"D": 4,
"A": 0,
"C": 1
},
"flags": [
"FS_READ_WORKSPACE",
"FS_READ_USER",
"NET_EGRESS_ANY",
"CREDS_ENV",
"CREDS_FILES",
"PI_WEB",
"PI_DOCUMENTS"
],
"custom_flags": [
{
"code": "PROMPT_INJECTION",
"name": "Prompt Injection Risk",
"description": "Contains prompt injection patterns in: scripts/proposal_rules.py"
},
{
"code": "TOOL_ABUSE",
"name": "Unauthorized Tool Use",
"description": "INSTRUCTED_BINARY_INSTALL: Instructs agent to install external binary or package"
},
{
"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": "MCP_SQL_BLIND: Blind SQL injection, system table access, or stored procedure abuse"
},
{
"code": "DATA_EXFILTRATION",
"name": "Data Exfiltration Risk",
"description": "DATA_EXFIL_SENSITIVE_FILES, DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_ENV_VARS, DATA_EXFIL_BASE64_AND_NETWORK: Accessing sensitive system or credential files"
}
],
"confidence": {
"level": "medium",
"basis": [
"static_analysis"
],
"notes": "Detected 5 security patterns (8 vendored rule hits). Review recommended."
},
"rationale": {
"H": "H4: Critical: Privilege escalation or malware detected",
"D": "D4: Critical: Credential theft or data exfiltration",
"A": "A0: No side effects detected",
"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": "Prompt injection patterns detected in: scripts/proposal_rules.py",
"severity": "high",
"mitigation": "Review SKILL.md for hidden instructions. Do not use with untrusted input."
},
{
"risk": "Unauthorized tool use: INSTRUCTED_BINARY_INSTALL",
"severity": "high",
"mitigation": "Avoid instructing agents to install arbitrary binaries; bundle dependencies or use sandboxed environments"
},
{
"risk": "Command injection risk: MCP_SQL_BLIND",
"severity": "high",
"mitigation": "Remove SQL exploitation patterns."
},
{
"risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION",
"severity": "low",
"mitigation": "Provide clear, detailed description of skill functionality"
},
{
"risk": "Data exfiltration patterns: DATA_EXFIL_SENSITIVE_FILES, DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_ENV_VARS, DATA_EXFIL_BASE64_AND_NETWORK",
"severity": "critical",
"mitigation": "Do not access credential files or sensitive system files"
}
],
"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/cache.py",
"file_path": "scripts/cache.py"
},
{
"evidence_id": "EV:file-2",
"type": "file_excerpt",
"title": "scripts/proposal_rules.py",
"file_path": "scripts/proposal_rules.py"
},
{
"evidence_id": "EV:file-3",
"type": "file_excerpt",
"title": "scripts/snapshot.py",
"file_path": "scripts/snapshot.py"
},
{
"evidence_id": "EV:file-4",
"type": "file_excerpt",
"title": "scripts/t212_client.py",
"file_path": "scripts/t212_client.py"
},
{
"evidence_id": "EV:file-5",
"type": "file_excerpt",
"title": "scripts/trading212_skill.py",
"file_path": "scripts/trading212_skill.py"
},
{
"evidence_id": "EV:file-6",
"type": "file_excerpt",
"title": "SKILL.md",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:file-7",
"type": "file_excerpt",
"title": "_meta.json",
"file_path": "_meta.json"
},
{
"evidence_id": "EV:cisco-1",
"type": "file_excerpt",
"title": "DATA_EXFIL_SENSITIVE_FILES [HIGH] scripts/proposal_rules.py:32: path = Path(os.environ.get(\"TRADING212_RULES_PATH\", str(_CONFIG_PATH)))",
"file_path": "scripts/proposal_rules.py"
},
{
"evidence_id": "EV:cisco-2",
"type": "file_excerpt",
"title": "DATA_EXFIL_SENSITIVE_FILES [HIGH] scripts/snapshot.py:33: d = Path(os.environ.get(\"TRADING212_SNAPSHOT_DIR\", str(_DEFAULT_DIR)))",
"file_path": "scripts/snapshot.py"
},
{
"evidence_id": "EV:cisco-3",
"type": "file_excerpt",
"title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] scripts/t212_client.py:17: import requests",
"file_path": "scripts/t212_client.py"
},
{
"evidence_id": "EV:cisco-4",
"type": "file_excerpt",
"title": "DATA_EXFIL_ENV_VARS [MEDIUM] scripts/t212_client.py:54: self.api_key = api_key or os.environ.get(\"TRADING212_API_KEY\", \"\")",
"file_path": "scripts/t212_client.py"
},
{
"evidence_id": "EV:cisco-5",
"type": "file_excerpt",
"title": "DATA_EXFIL_BASE64_AND_NETWORK [CRITICAL] scripts/t212_client.py:69: encoded = base64.b64encode(credentials.encode()).decode()",
"file_path": "scripts/t212_client.py"
},
{
"evidence_id": "EV:cisco-6",
"type": "file_excerpt",
"title": "MCP_SQL_BLIND [HIGH] scripts/t212_client.py:90: time.sleep(earliest - now)",
"file_path": "scripts/t212_client.py"
},
{
"evidence_id": "EV:cisco-7",
"type": "file_excerpt",
"title": "INSTRUCTED_BINARY_INSTALL [HIGH] SKILL.md:18: pip install -r {baseDir}/requirements.txt",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:cisco-8",
"type": "file_excerpt",
"title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
"file_path": "SKILL.md"
}
]
}