Options Spread Conviction Engine

⬇ 1,369 downloads

High Risk

Multi-regime options spread analysis engine with quantitative rigor. Features regime detection (VIX-based), GARCH volatility forecasting, drawdown-constrained Kelly position sizing, and walk-forward backtesting. Scores vertical spreads (bull put, bear call, bull call, bear put) and multi-leg strategies (iron condors, butterflies, calendar spreads) using Ichimoku, RSI, MACD, Bollinger Bands, and IV term structure analysis.

H:4 D:2 A:0 C:1

⚠️ Hazard Flags

EXEC PRIVILEGED FS_READ_WORKSPACE NET_EGRESS_ANY PI_WEB

📋 Capabilities

Execution

✅ Shell execution
❌ Code execution
❌ Install dependencies
❌ Persistence
Privilege: admin

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

Required:

SANDBOX_CONTAINER: Code execution capability

Recommended:

LOG_ACTIONS: Audit trail for all actions

⚡ Risks

Unauthorized tool use: INSTRUCTED_BINARY_INSTALL, MCP_SYS_CRITICAL_ACCESS, INSTRUCTED_GIT_CLONE_AND_BUILD high

Mitigation: Avoid instructing agents to install arbitrary binaries; bundle dependencies or use sandboxed environments

Command injection risk: MCP_SQL_BLIND high

Mitigation: Remove SQL exploitation patterns.

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:options-spread-conviction-engine:2.2.1",
    "ssds_version": "0.2.0",
    "scanner_version": "0.4.0+fe6fd9123d50",
    "created_at": "2026-03-05T11:17:36.470Z",
    "created_by": {
      "agent": "safeagentskills-cli/generate-ssds"
    },
    "language": "en",
    "notes": "Auto-generated SSDS. Manual review recommended."
  },
  "skill": {
    "name": "Options Spread Conviction Engine",
    "version": "2.2.1",
    "format": "agent_skill",
    "description": "Multi-regime options spread analysis engine with quantitative rigor. Features regime detection (VIX-based), GARCH volatility forecasting, drawdown-constrained Kelly position sizing, and walk-forward backtesting. Scores vertical spreads (bull put, bear call, bull call, bear put) and multi-leg strategies (iron condors, butterflies, calendar spreads) using Ichimoku, RSI, MACD, Bollinger Bands, and IV term structure analysis.",
    "publisher": "ClawHub",
    "source": {
      "channel": "clawhub",
      "slug": "options-spread-conviction-engine",
      "owner": "AdamNaghs",
      "downloads": 1369,
      "stars": 0
    },
    "artifact": {
      "sha256": "7eb3e35f2c48979c97b40ea8a3cce610d91b26e3a6d831a5ddc43befe2f982a8",
      "hash_method": "files_sorted"
    }
  },
  "capabilities": {
    "execution": {
      "can_exec_shell": true,
      "can_exec_code": false,
      "privilege_level": "admin",
      "can_install_deps": false,
      "can_persist": false
    },
    "filesystem": {
      "reads_workspace": true,
      "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": 2,
      "A": 0,
      "C": 1
    },
    "flags": [
      "EXEC",
      "PRIVILEGED",
      "FS_READ_WORKSPACE",
      "NET_EGRESS_ANY",
      "PI_WEB"
    ],
    "custom_flags": [
      {
        "code": "PRIVILEGE_ESCALATION",
        "name": "Privilege Escalation",
        "description": "Uses elevated privileges (sudo/root) in: SKILL.md"
      },
      {
        "code": "TOOL_ABUSE",
        "name": "Unauthorized Tool Use",
        "description": "INSTRUCTED_BINARY_INSTALL, MCP_SYS_CRITICAL_ACCESS, INSTRUCTED_GIT_CLONE_AND_BUILD: 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"
      }
    ],
    "confidence": {
      "level": "medium",
      "basis": [
        "static_analysis"
      ],
      "notes": "Detected 4 security patterns (6 vendored rule hits). Review recommended."
    },
    "rationale": {
      "H": "H4: Critical: Privilege escalation or malware detected",
      "D": "D2: Network + file access",
      "A": "A0: No side effects detected",
      "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": "Unauthorized tool use: INSTRUCTED_BINARY_INSTALL, MCP_SYS_CRITICAL_ACCESS, INSTRUCTED_GIT_CLONE_AND_BUILD",
        "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"
      }
    ],
    "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": "tests/test_vol_forecaster.py",
      "file_path": "tests/test_vol_forecaster.py"
    },
    {
      "evidence_id": "EV:file-2",
      "type": "file_excerpt",
      "title": "tests/test_regime_detector.py",
      "file_path": "tests/test_regime_detector.py"
    },
    {
      "evidence_id": "EV:file-3",
      "type": "file_excerpt",
      "title": "tests/test_enhanced_kelly.py",
      "file_path": "tests/test_enhanced_kelly.py"
    },
    {
      "evidence_id": "EV:file-4",
      "type": "file_excerpt",
      "title": "tests/test_backtest_validator.py",
      "file_path": "tests/test_backtest_validator.py"
    },
    {
      "evidence_id": "EV:file-5",
      "type": "file_excerpt",
      "title": "tests/run_tests.py",
      "file_path": "tests/run_tests.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": "scripts/vol_forecaster.py",
      "file_path": "scripts/vol_forecaster.py"
    },
    {
      "evidence_id": "EV:file-8",
      "type": "file_excerpt",
      "title": "scripts/test_user_trade.py",
      "file_path": "scripts/test_user_trade.py"
    },
    {
      "evidence_id": "EV:file-9",
      "type": "file_excerpt",
      "title": "scripts/test_risk_validation.py",
      "file_path": "scripts/test_risk_validation.py"
    },
    {
      "evidence_id": "EV:file-10",
      "type": "file_excerpt",
      "title": "scripts/test_integration.py",
      "file_path": "scripts/test_integration.py"
    },
    {
      "evidence_id": "EV:cisco-1",
      "type": "file_excerpt",
      "title": "INSTRUCTED_BINARY_INSTALL [HIGH] SKILL.md:25: brew install jq",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:cisco-2",
      "type": "file_excerpt",
      "title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:cisco-3",
      "type": "file_excerpt",
      "title": "MCP_SYS_CRITICAL_ACCESS [HIGH] scripts/setup-venv.sh:1: #!/usr/bin/env bash",
      "file_path": "scripts/setup-venv.sh"
    },
    {
      "evidence_id": "EV:cisco-4",
      "type": "file_excerpt",
      "title": "MCP_SQL_BLIND [HIGH] scripts/market_scanner.py:531: time.sleep(config.delay)",
      "file_path": "scripts/market_scanner.py"
    },
    {
      "evidence_id": "EV:cisco-5",
      "type": "file_excerpt",
      "title": "MCP_SQL_BLIND [HIGH] scripts/chain_analyzer.py:68: time.sleep(self.rate_limit_delay - elapsed)",
      "file_path": "scripts/chain_analyzer.py"
    },
    {
      "evidence_id": "EV:cisco-6",
      "type": "file_excerpt",
      "title": "INSTRUCTED_GIT_CLONE_AND_BUILD [MEDIUM] README.md:150: git clone https://github.com/AdamNaghs/Options-Spread-Conviction-Engine.git",
      "file_path": "README.md"
    }
  ]
}