PropClaw - Built on ERPClaw with double-entry GL, FCRA-compliant screening, and state-specific late fees

· v1.0.5

High Risk

AI-native property management for US landlords (20-500 units). 66 actions across 5 domains -- properties, leases, tenants, maintenance, trust accounting. Built on ERPClaw foundation with real double-entry GL, FCRA-compliant screening, state-specific late fees, and 1099 reporting.

H:4 D:0 A:0 C:1

⚠️ Hazard Flags

NET_EGRESS_ANY PI_WEB

📋 Capabilities

Execution

❌ Shell execution
❌ Code execution
❌ Install dependencies
❌ Persistence
Privilege: user

Filesystem

❌ Read workspace
❌ Write workspace
❌ Read home
❌ Write home
❌ Read system
❌ Delete

Network

Egress: any
❌ Ingress

Credentials

❌ Environment vars
❌ Credential files
❌ Browser data
❌ Keychain

Actions

❌ send messages❌ post public❌ purchase❌ transfer money❌ deploy❌ delete external

🔒 Containment

Level: maximum

Recommended:

LOG_ACTIONS: Audit trail for all actions

⚡ Risks

Command injection risk: SQL_INJECTION_STRING_FORMAT, MCP_SQL_BLIND critical

Mitigation: Use parameterized queries with ? or %s placeholders

Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION low

Mitigation: Provide clear, detailed description of skill functionality

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🚨 Incident Response

Kill switch: Stop the agent process

Containment: Review logs for unexpected actions

Recovery: Depends on skill capabilities

📄 Raw SSDS JSON click to expand

{
  "meta": {
    "document_id": "ssds:auto:propclaw:1.0.5",
    "ssds_version": "0.2.0",
    "scanner_version": "0.4.0+fe6fd9123d50",
    "created_at": "2026-03-07T04:56:27.062Z",
    "created_by": {
      "agent": "safeagentskills-cli/generate-ssds"
    },
    "language": "en",
    "notes": "Auto-generated SSDS. Manual review recommended."
  },
  "skill": {
    "name": "PropClaw - Built on ERPClaw with double-entry GL, FCRA-compliant screening, and state-specific late fees",
    "version": "1.0.5",
    "format": "agent_skill",
    "description": "AI-native property management for US landlords (20-500 units). 66 actions across 5 domains -- properties, leases, tenants, maintenance, trust accounting. Built on ERPClaw foundation with real double-entry GL, FCRA-compliant screening, state-specific late fees, and 1099 reporting.",
    "publisher": "unknown",
    "source": {
      "channel": "local"
    },
    "artifact": {
      "sha256": "ea937d0f31e4f1b9f8e6825cff2a402d7468db3deb23385d4838faccab54f6bd",
      "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": false,
      "reads_user_home": false,
      "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": 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": 4,
      "D": 0,
      "A": 0,
      "C": 1
    },
    "flags": [
      "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": "COMMAND_INJECTION",
        "name": "Command Injection Risk",
        "description": "SQL_INJECTION_STRING_FORMAT, MCP_SQL_BLIND: SQL query with string formatting (SQL injection risk)"
      }
    ],
    "confidence": {
      "level": "medium",
      "basis": [
        "static_analysis"
      ],
      "notes": "Detected 2 security patterns (7 vendored rule hits). Review recommended."
    },
    "rationale": {
      "H": "H4: Critical: Privilege escalation or malware detected",
      "D": "D0: No sensitive data access",
      "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": "Command injection risk: SQL_INJECTION_STRING_FORMAT, MCP_SQL_BLIND",
        "severity": "critical",
        "mitigation": "Use parameterized queries with ? or %s placeholders"
      },
      {
        "risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION",
        "severity": "low",
        "mitigation": "Provide clear, detailed description of skill functionality"
      }
    ],
    "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": "init_db.py",
      "file_path": "init_db.py"
    },
    {
      "evidence_id": "EV:file-2",
      "type": "file_excerpt",
      "title": "scripts/accounting.py",
      "file_path": "scripts/accounting.py"
    },
    {
      "evidence_id": "EV:file-3",
      "type": "file_excerpt",
      "title": "scripts/db_query.py",
      "file_path": "scripts/db_query.py"
    },
    {
      "evidence_id": "EV:file-4",
      "type": "file_excerpt",
      "title": "scripts/leases.py",
      "file_path": "scripts/leases.py"
    },
    {
      "evidence_id": "EV:file-5",
      "type": "file_excerpt",
      "title": "scripts/maintenance.py",
      "file_path": "scripts/maintenance.py"
    },
    {
      "evidence_id": "EV:file-6",
      "type": "file_excerpt",
      "title": "scripts/properties.py",
      "file_path": "scripts/properties.py"
    },
    {
      "evidence_id": "EV:file-7",
      "type": "file_excerpt",
      "title": "scripts/tenants.py",
      "file_path": "scripts/tenants.py"
    },
    {
      "evidence_id": "EV:file-8",
      "type": "file_excerpt",
      "title": "SKILL.md",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:file-9",
      "type": "file_excerpt",
      "title": "_meta.json",
      "file_path": "_meta.json"
    },
    {
      "evidence_id": "EV:cisco-1",
      "type": "file_excerpt",
      "title": "SQL_INJECTION_STRING_FORMAT [CRITICAL] scripts/accounting.py:219: f\"SELECT COUNT(*) FROM propclaw_owner_statement s WHERE {wc}\", params).fetchone(",
      "file_path": "scripts/accounting.py"
    },
    {
      "evidence_id": "EV:cisco-2",
      "type": "file_excerpt",
      "title": "MCP_SQL_BLIND [HIGH] scripts/accounting.py:99: \"\"\"SELECT COALESCE(SUM(CAST(amount AS REAL) - CAST(deduction_amount AS REAL)), 0",
      "file_path": "scripts/accounting.py"
    },
    {
      "evidence_id": "EV:cisco-3",
      "type": "file_excerpt",
      "title": "SQL_INJECTION_STRING_FORMAT [CRITICAL] scripts/leases.py:182: total = conn.execute(f\"SELECT COUNT(*) FROM propclaw_lease l WHERE {wc}\", params",
      "file_path": "scripts/leases.py"
    },
    {
      "evidence_id": "EV:cisco-4",
      "type": "file_excerpt",
      "title": "SQL_INJECTION_STRING_FORMAT [CRITICAL] scripts/maintenance.py:202: total = conn.execute(f\"SELECT COUNT(*) FROM propclaw_work_order w WHERE {wc}\", p",
      "file_path": "scripts/maintenance.py"
    },
    {
      "evidence_id": "EV:cisco-5",
      "type": "file_excerpt",
      "title": "SQL_INJECTION_STRING_FORMAT [CRITICAL] scripts/properties.py:218: f\"SELECT COUNT(*) FROM propclaw_property p WHERE {where_clause}\",",
      "file_path": "scripts/properties.py"
    },
    {
      "evidence_id": "EV:cisco-6",
      "type": "file_excerpt",
      "title": "SQL_INJECTION_STRING_FORMAT [CRITICAL] scripts/tenants.py:165: total = conn.execute(f\"SELECT COUNT(*) FROM propclaw_application a WHERE {wc}\", ",
      "file_path": "scripts/tenants.py"
    },
    {
      "evidence_id": "EV:cisco-7",
      "type": "file_excerpt",
      "title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
      "file_path": "SKILL.md"
    }
  ]
}