Larry โ Autonomous TikTok Slideshow Agent
ยท v1.0.0
No description available
H:4 D:4 A:1 C:1
โ ๏ธ Hazard Flags
EXEC FS_READ_WORKSPACE FS_READ_USER FS_WRITE_WORKSPACE FS_WRITE_USER FS_DELETE NET_EGRESS_ANY CREDS_ENV CREDS_FILES CREDS_BROWSER PI_WEB
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
โ send messagesโ post publicโ purchaseโ transfer moneyโ deployโ delete external
๐ Containment
Level: maximum
Required:
- SANDBOX_CONTAINER: Code execution capability
Recommended:
- LOG_ACTIONS: Audit trail for all actions
โก Risks
Code obfuscation detected in: scripts/research.py medium
Mitigation: Deobfuscate and review code before use.
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
Data exfiltration patterns: DATA_EXFIL_HTTP_POST, DATA_EXFIL_ENV_VARS critical
Mitigation: Review all POST requests. Ensure they don't send sensitive data
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:skill:1.0.0",
"ssds_version": "0.2.0",
"scanner_version": "0.4.0+fe6fd9123d50",
"created_at": "2026-03-05T15:53:51.955Z",
"created_by": {
"agent": "safeagentskills-cli/generate-ssds"
},
"language": "en",
"notes": "Auto-generated SSDS. Manual review recommended."
},
"skill": {
"name": "Larry โ Autonomous TikTok Slideshow Agent",
"version": "1.0.0",
"format": "agent_skill",
"description": null,
"publisher": "unknown",
"source": {
"channel": "local"
},
"artifact": {
"sha256": "48e1f9ffb1e7419ab6062698f7530c042f641f747564ea54ffe0da9cb59160d0",
"hash_method": "files_sorted"
}
},
"capabilities": {
"execution": {
"can_exec_shell": true,
"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": true,
"reads_credential_files": true,
"reads_browser_data": true,
"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": 4,
"A": 1,
"C": 1
},
"flags": [
"EXEC",
"FS_READ_WORKSPACE",
"FS_READ_USER",
"FS_WRITE_WORKSPACE",
"FS_WRITE_USER",
"FS_DELETE",
"NET_EGRESS_ANY",
"CREDS_ENV",
"CREDS_FILES",
"CREDS_BROWSER",
"PI_WEB"
],
"custom_flags": [
{
"code": "OBFUSCATED_CODE",
"name": "Obfuscated Code",
"description": "Contains obfuscated code patterns in: scripts/research.py"
},
{
"code": "FILE_DELETE",
"name": "File Deletion",
"description": "Can delete files in: scripts/generate_slides.py"
},
{
"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_HTTP_POST, DATA_EXFIL_ENV_VARS: HTTP POST request that may send data externally"
}
],
"confidence": {
"level": "medium",
"basis": [
"static_analysis"
],
"notes": "Detected 5 security patterns (5 vendored rule hits). Review recommended."
},
"rationale": {
"H": "H4: Critical: Privilege escalation or malware detected",
"D": "D4: Critical: Credential theft or data exfiltration",
"A": "A1: Local side effects only",
"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": "Code obfuscation detected in: scripts/research.py",
"severity": "medium",
"mitigation": "Deobfuscate and review code before use."
},
{
"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_HTTP_POST, DATA_EXFIL_ENV_VARS",
"severity": "critical",
"mitigation": "Review all POST requests. Ensure they don't send sensitive data"
}
],
"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/generate_slides.py",
"file_path": "scripts/generate_slides.py"
},
{
"evidence_id": "EV:file-2",
"type": "file_excerpt",
"title": "scripts/larry.py",
"file_path": "scripts/larry.py"
},
{
"evidence_id": "EV:file-3",
"type": "file_excerpt",
"title": "scripts/learn.py",
"file_path": "scripts/learn.py"
},
{
"evidence_id": "EV:file-4",
"type": "file_excerpt",
"title": "scripts/overlay.py",
"file_path": "scripts/overlay.py"
},
{
"evidence_id": "EV:file-5",
"type": "file_excerpt",
"title": "scripts/postiz.py",
"file_path": "scripts/postiz.py"
},
{
"evidence_id": "EV:file-6",
"type": "file_excerpt",
"title": "scripts/research.py",
"file_path": "scripts/research.py"
},
{
"evidence_id": "EV:file-7",
"type": "file_excerpt",
"title": "SKILL.md",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:file-8",
"type": "file_excerpt",
"title": "_meta.json",
"file_path": "_meta.json"
},
{
"evidence_id": "EV:cisco-1",
"type": "file_excerpt",
"title": "DATA_EXFIL_HTTP_POST [CRITICAL] scripts/generate_slides.py:60: resp = requests.post(NVIDIA_ENDPOINT, headers=headers, json=payload, timeout=120",
"file_path": "scripts/generate_slides.py"
},
{
"evidence_id": "EV:cisco-2",
"type": "file_excerpt",
"title": "DATA_EXFIL_ENV_VARS [MEDIUM] scripts/generate_slides.py:18: api_key = config.get(\"nvidia_api_key\") or os.environ.get(\"NVIDIA_API_KEY\", \"\")",
"file_path": "scripts/generate_slides.py"
},
{
"evidence_id": "EV:cisco-3",
"type": "file_excerpt",
"title": "MCP_SQL_BLIND [HIGH] scripts/generate_slides.py:43: time.sleep(0.5) # kurze Pause zwischen Requests",
"file_path": "scripts/generate_slides.py"
},
{
"evidence_id": "EV:cisco-4",
"type": "file_excerpt",
"title": "DATA_EXFIL_HTTP_POST [CRITICAL] scripts/postiz.py:12: resp = requests.post(",
"file_path": "scripts/postiz.py"
},
{
"evidence_id": "EV:cisco-5",
"type": "file_excerpt",
"title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:2: ",
"file_path": "SKILL.md"
}
]
}