High Risk
No description available
H:4 D:4 A:2 C:1
⚠️ Hazard Flags
FS_READ_WORKSPACE FS_READ_USER FS_WRITE_WORKSPACE FS_WRITE_USER FS_DELETE NET_EGRESS_ANY CREDS_FILES CREDS_KEYCHAIN 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
SSH key access patterns in: execution/monitor.py high
Mitigation: Verify legitimate need for SSH access. Consider sandboxing.
Keychain/credential store access in: execution/monitor.py high
Mitigation: Block keychain access or use isolated environment.
Resource abuse detected: RESOURCE_ABUSE_INFINITE_LOOP high
Mitigation: Add proper exit conditions or limits to loops
Command injection risk: MCP_SQL_BLIND high
Mitigation: Remove SQL exploitation patterns.
Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION, SOCIAL_ENG_ANTHROPIC_IMPERSONATION low
Mitigation: Provide clear, detailed description of skill functionality
Want a deeper analysis?
This report was generated by static analysis. Get an LLM-powered deep review with behavioral reasoning and attack surface mapping.
🧠 Deep Analysis — $5.00🚨 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:skill:1.0.0",
"ssds_version": "0.2.0",
"scanner_version": "0.4.0+fe6fd9123d50",
"created_at": "2026-03-05T01:30:51.163Z",
"created_by": {
"agent": "safeagentskills-cli/generate-ssds"
},
"language": "en",
"notes": "Auto-generated SSDS. Manual review recommended."
},
"skill": {
"name": "AgentGuard",
"version": "1.0.0",
"format": "agent_skill",
"description": null,
"publisher": "ClawHub",
"source": {
"channel": "clawhub",
"slug": "agentguard",
"downloads": 2284,
"stars": 2
},
"artifact": {
"sha256": "90ed82b5369629002032b3d4077f6497dbb1d2fe61e164465a0f47ccd9977212",
"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": true,
"writes_user_home": true,
"writes_system": false,
"can_delete": true
},
"network": {
"egress": "any",
"ingress": false
},
"credentials": {
"reads_env_vars": false,
"reads_credential_files": true,
"reads_browser_data": false,
"reads_keychain": true
},
"services": [
{
"service": "messaging",
"operations": [
"read",
"write"
]
}
],
"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": 2,
"C": 1
},
"flags": [
"FS_READ_WORKSPACE",
"FS_READ_USER",
"FS_WRITE_WORKSPACE",
"FS_WRITE_USER",
"FS_DELETE",
"NET_EGRESS_ANY",
"CREDS_FILES",
"CREDS_KEYCHAIN",
"PI_WEB"
],
"custom_flags": [
{
"code": "CRED_SSH",
"name": "SSH Key Access",
"description": "Accesses SSH keys in: execution/monitor.py"
},
{
"code": "CRED_KEYCHAIN",
"name": "Keychain Access",
"description": "Accesses system keychain in: execution/monitor.py"
},
{
"code": "FILE_DELETE",
"name": "File Deletion",
"description": "Can delete files in: execution/logger.py"
},
{
"code": "RESOURCE_ABUSE",
"name": "Resource Abuse Risk",
"description": "RESOURCE_ABUSE_INFINITE_LOOP detected: Infinite loop without clear exit condition"
},
{
"code": "SOCIAL_ENGINEERING",
"name": "Social Engineering Risk",
"description": "SOCIAL_ENG_VAGUE_DESCRIPTION, SOCIAL_ENG_ANTHROPIC_IMPERSONATION: 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 6 security patterns (4 vendored rule hits). Review recommended."
},
"rationale": {
"H": "H4: Critical: Privilege escalation or malware detected",
"D": "D4: Critical: Credential theft or data exfiltration",
"A": "A2: Service integrations 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": "SSH key access patterns in: execution/monitor.py",
"severity": "high",
"mitigation": "Verify legitimate need for SSH access. Consider sandboxing."
},
{
"risk": "Keychain/credential store access in: execution/monitor.py",
"severity": "high",
"mitigation": "Block keychain access or use isolated environment."
},
{
"risk": "Resource abuse detected: RESOURCE_ABUSE_INFINITE_LOOP",
"severity": "high",
"mitigation": "Add proper exit conditions or limits to loops"
},
{
"risk": "Command injection risk: MCP_SQL_BLIND",
"severity": "high",
"mitigation": "Remove SQL exploitation patterns."
},
{
"risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION, SOCIAL_ENG_ANTHROPIC_IMPERSONATION",
"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": "execution/alerter.py",
"file_path": "execution/alerter.py"
},
{
"evidence_id": "EV:file-2",
"type": "file_excerpt",
"title": "execution/detector.py",
"file_path": "execution/detector.py"
},
{
"evidence_id": "EV:file-3",
"type": "file_excerpt",
"title": "execution/logger.py",
"file_path": "execution/logger.py"
},
{
"evidence_id": "EV:file-4",
"type": "file_excerpt",
"title": "execution/monitor.py",
"file_path": "execution/monitor.py"
},
{
"evidence_id": "EV:file-5",
"type": "file_excerpt",
"title": "execution/reporter.py",
"file_path": "execution/reporter.py"
},
{
"evidence_id": "EV:file-6",
"type": "file_excerpt",
"title": "_meta.json",
"file_path": "_meta.json"
},
{
"evidence_id": "EV:file-7",
"type": "file_excerpt",
"title": "README.md",
"file_path": "README.md"
},
{
"evidence_id": "EV:file-8",
"type": "file_excerpt",
"title": "SKILL.md",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:cisco-1",
"type": "file_excerpt",
"title": "RESOURCE_ABUSE_INFINITE_LOOP [HIGH] execution/monitor.py:410: while True:",
"file_path": "execution/monitor.py"
},
{
"evidence_id": "EV:cisco-2",
"type": "file_excerpt",
"title": "MCP_SQL_BLIND [HIGH] execution/monitor.py:411: time.sleep(60)",
"file_path": "execution/monitor.py"
},
{
"evidence_id": "EV:cisco-3",
"type": "file_excerpt",
"title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:2: ",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:cisco-4",
"type": "file_excerpt",
"title": "SOCIAL_ENG_ANTHROPIC_IMPERSONATION [MEDIUM] SKILL.md:106: - api.anthropic.com",
"file_path": "SKILL.md"
}
]
}