"Connect your AI assistant to GoHighLevel CRM via the official API v2. Manage contacts, conversations, calendars, pipelines, invoices, payments, workflows, and 30+ endpoint groups through natural language. Includes interactive setup wizard and 100+ pre-built, safe API commands. Python 3.6+ stdlib only โ zero external dependencies."
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
- APPROVE_SEND: Can send messages
- LOG_ACTIONS: Audit trail for all actions
โก Risks
Mitigation: Review SKILL.md for hidden instructions. Do not use with untrusted input.
Mitigation: Remove SQL exploitation patterns.
Mitigation: Provide clear, detailed description of skill functionality
Mitigation: Clearly document which sensitive services are accessed and why; use minimal required permissions
Want a deeper analysis?
This report was generated by static analysis. Get an LLM-powered deep review with behavioral reasoning and attack surface mapping.
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:highlevel:1.0.7",
"ssds_version": "0.2.0",
"scanner_version": "0.4.0+fe6fd9123d50",
"created_at": "2026-03-05T11:29:50.103Z",
"created_by": {
"agent": "safeagentskills-cli/generate-ssds"
},
"language": "en",
"notes": "Auto-generated SSDS. Manual review recommended."
},
"skill": {
"name": "GoHighLevel",
"version": "1.0.7",
"format": "agent_skill",
"description": "\"Connect your AI assistant to GoHighLevel CRM via the official API v2. Manage contacts, conversations, calendars, pipelines, invoices, payments, workflows, and 30+ endpoint groups through natural language. Includes interactive setup wizard and 100+ pre-built, safe API commands. Python 3.6+ stdlib only โ zero external dependencies.\"",
"publisher": "ClawHub",
"source": {
"channel": "clawhub",
"slug": "highlevel",
"owner": "10xcoldleads",
"downloads": 1310,
"stars": 4
},
"artifact": {
"sha256": "12c5c3c66f32bb8c142e0b6881c115d600fdd31578e5c697dd9dbb12b2ab57a4",
"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": 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": true,
"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": 3,
"C": 1
},
"flags": [
"FS_READ_USER",
"NET_EGRESS_ANY",
"CREDS_ENV",
"CREDS_FILES",
"ACT_SEND_MESSAGE",
"PI_WEB",
"PI_DOCUMENTS"
],
"custom_flags": [
{
"code": "PROMPT_INJECTION",
"name": "Prompt Injection Risk",
"description": "Contains prompt injection patterns in: SKILL.md"
},
{
"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": "INSTRUCTED_SENSITIVE_SERVICE_ACCESS, MCP_EXFIL_CONVERSATION, DATA_EXFIL_ENV_VARS: Instructs agent to access sensitive services (email, calendar, contacts, drive)"
}
],
"confidence": {
"level": "medium",
"basis": [
"static_analysis"
],
"notes": "Detected 4 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": "A3: External actions (deploy/message/post)",
"C": "C1: General content"
}
},
"containment": {
"level": "maximum",
"required": [
{
"control": "APPROVE_SEND",
"reason": "Can send messages"
}
],
"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: SKILL.md",
"severity": "high",
"mitigation": "Review SKILL.md for hidden instructions. Do not use with untrusted input."
},
{
"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: INSTRUCTED_SENSITIVE_SERVICE_ACCESS, MCP_EXFIL_CONVERSATION, DATA_EXFIL_ENV_VARS",
"severity": "high",
"mitigation": "Clearly document which sensitive services are accessed and why; use minimal required permissions"
}
],
"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": "SKILL.md",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:file-2",
"type": "file_excerpt",
"title": "scripts/setup-wizard.py",
"file_path": "scripts/setup-wizard.py"
},
{
"evidence_id": "EV:file-3",
"type": "file_excerpt",
"title": "scripts/ghl-api.py",
"file_path": "scripts/ghl-api.py"
},
{
"evidence_id": "EV:file-4",
"type": "file_excerpt",
"title": "_meta.json",
"file_path": "_meta.json"
},
{
"evidence_id": "EV:cisco-1",
"type": "file_excerpt",
"title": "INSTRUCTED_SENSITIVE_SERVICE_ACCESS [HIGH] SKILL.md:121: | `send_message [contactId] [message]` | Send SMS/email |",
"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_EXFIL_CONVERSATION [HIGH] SKILL.md:23: > **Turn your AI assistant into a GoHighLevel command center.** Search contacts,",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:cisco-4",
"type": "file_excerpt",
"title": "DATA_EXFIL_ENV_VARS [MEDIUM] scripts/setup-wizard.py:74: token = os.environ.get(\"HIGHLEVEL_TOKEN\", \"\").strip()",
"file_path": "scripts/setup-wizard.py"
},
{
"evidence_id": "EV:cisco-5",
"type": "file_excerpt",
"title": "MCP_SCRIPT_ANSI_DECEPTION [HIGH] scripts/setup-wizard.py:19: GREEN = \"\\033[92m\"",
"file_path": "scripts/setup-wizard.py"
},
{
"evidence_id": "EV:cisco-6",
"type": "file_excerpt",
"title": "TIRITH_ANSI_ESCAPE_IN_STRING [HIGH] scripts/setup-wizard.py:19: GREEN = \"\\033[92m\"",
"file_path": "scripts/setup-wizard.py"
},
{
"evidence_id": "EV:cisco-7",
"type": "file_excerpt",
"title": "DATA_EXFIL_ENV_VARS [MEDIUM] scripts/ghl-api.py:40: os.environ.get(\"HIGHLEVEL_TOKEN\", \"\").strip(),",
"file_path": "scripts/ghl-api.py"
},
{
"evidence_id": "EV:cisco-8",
"type": "file_excerpt",
"title": "MCP_SQL_BLIND [HIGH] scripts/ghl-api.py:85: time.sleep(wait)",
"file_path": "scripts/ghl-api.py"
}
]
}