Sentiment Radar
Β· v1.0.0
"Multi-platform sentiment monitoring and analysis for products/brands/topics. Collect public opinions from Chinese platforms (ε°ηΊ’δΉ¦/XHS via MediaCrawler) and English platforms (Twitter/Reddit via Xpoz MCP). Generate structured sentiment reports with product mention tracking, pricing complaints, comparison analysis, and actionable insights. Use when: (1) monitoring competitor sentiment, (2) tracking product launch reception, (3) analyzing user pain points across social media, (4) building market intelligence reports."
β οΈ Hazard Flags
π Capabilities
Execution
- β Shell execution
- β Code execution
- β Install dependencies
- β Persistence
- Privilege: user
Filesystem
- β Read workspace
- β Write workspace
- β Read home
- β Write home
- β Read system
- β Delete
Network
- Egress: any
- β Ingress
Credentials
- β Environment vars
- β Credential files
- β Browser data
- β Keychain
Actions
π Containment
Level: maximum
- SANDBOX_CONTAINER: Code execution capability
- LOG_ACTIONS: Audit trail for all actions
β‘ Risks
Mitigation: Use pre-built packages or vendored dependencies instead of cloning repos
Mitigation: Remove SQL exploitation patterns.
Mitigation: Provide clear, detailed description of skill functionality
Want a deeper analysis?
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π§ Deep Analysis β $5.00π¨ Incident Response
Kill switch: Stop the agent process
Containment: Review logs for unexpected actions
Recovery: Depends on skill capabilities
π Raw SSDS JSON click to expand
{
"meta": {
"document_id": "ssds:auto:sentiment-radar:1.0.0",
"ssds_version": "0.2.0",
"scanner_version": "0.4.0+fe6fd9123d50",
"created_at": "2026-03-05T15:57:40.877Z",
"created_by": {
"agent": "safeagentskills-cli/generate-ssds"
},
"language": "en",
"notes": "Auto-generated SSDS. Manual review recommended."
},
"skill": {
"name": "Sentiment Radar",
"version": "1.0.0",
"format": "agent_skill",
"description": "\"Multi-platform sentiment monitoring and analysis for products/brands/topics. Collect public opinions from Chinese platforms (ε°ηΊ’δΉ¦/XHS via MediaCrawler) and English platforms (Twitter/Reddit via Xpoz MCP). Generate structured sentiment reports with product mention tracking, pricing complaints, comparison analysis, and actionable insights. Use when: (1) monitoring competitor sentiment, (2) tracking product launch reception, (3) analyzing user pain points across social media, (4) building market intelligence reports.\"",
"publisher": "unknown",
"source": {
"channel": "local"
},
"artifact": {
"sha256": "5e88102ff007394c76fa3e19c4cbbc6c029edbdc2663e4d91070f04c950ecc90",
"hash_method": "files_sorted"
}
},
"capabilities": {
"execution": {
"can_exec_shell": true,
"can_exec_code": true,
"privilege_level": "user",
"can_install_deps": false,
"can_persist": false
},
"filesystem": {
"reads_workspace": true,
"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": 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": 3,
"A": 0,
"C": 1
},
"flags": [
"EXEC",
"CODE_EXEC",
"FS_READ_WORKSPACE",
"FS_READ_USER",
"NET_EGRESS_ANY",
"CREDS_ENV",
"CREDS_FILES",
"PI_WEB"
],
"custom_flags": [
{
"code": "TOOL_ABUSE",
"name": "Unauthorized Tool Use",
"description": "INSTRUCTED_GIT_CLONE_AND_BUILD: Instructs agent to clone and potentially build from source"
},
{
"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 3 security patterns (3 vendored rule hits). Review recommended."
},
"rationale": {
"H": "H4: Critical: Privilege escalation or malware detected",
"D": "D3: Credential access detected",
"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_GIT_CLONE_AND_BUILD",
"severity": "medium",
"mitigation": "Use pre-built packages or vendored dependencies instead of cloning repos"
},
{
"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": "scripts/analyze.py",
"file_path": "scripts/analyze.py"
},
{
"evidence_id": "EV:file-2",
"type": "file_excerpt",
"title": "scripts/dy_scrape.py",
"file_path": "scripts/dy_scrape.py"
},
{
"evidence_id": "EV:file-3",
"type": "file_excerpt",
"title": "scripts/xhs_crawler.py",
"file_path": "scripts/xhs_crawler.py"
},
{
"evidence_id": "EV:file-4",
"type": "file_excerpt",
"title": "SKILL.md",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:file-5",
"type": "file_excerpt",
"title": "_meta.json",
"file_path": "_meta.json"
},
{
"evidence_id": "EV:cisco-1",
"type": "file_excerpt",
"title": "MCP_SQL_BLIND [HIGH] scripts/dy_scrape.py:28: await asyncio.sleep(3)",
"file_path": "scripts/dy_scrape.py"
},
{
"evidence_id": "EV:cisco-2",
"type": "file_excerpt",
"title": "INSTRUCTED_GIT_CLONE_AND_BUILD [MEDIUM] SKILL.md:23: git clone https://github.com/NanmiCoder/MediaCrawler ~/.openclaw/workspace/skill",
"file_path": "SKILL.md"
},
{
"evidence_id": "EV:cisco-3",
"type": "file_excerpt",
"title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
"file_path": "SKILL.md"
}
]
}