๐Ÿ›ก๏ธ SafeAgentSkills

student-rooms

View on ClawHub โ†— ยท v1.1.0

โฌ‡ 211 downloads

Low Risk

Search, scan, and monitor student accommodation availability across Yugo and Aparto providers. Use when the user asks about student housing, room availability, semester accommodation, booking options, or price comparisons in any supported city. Covers Yugo (11 countries, 70+ cities including UK, Ireland, Spain, Germany, France, Italy, Portugal, Austria, Australia, USA, UAE) and Aparto (14 cities across Ireland, Spain, Italy, UK, France). Supports semester filtering, continuous watch mode with alerts, booking-flow probing, and multiple notification backends (stdout, webhook, Telegram, OpenClaw). Works standalone (no OpenClaw required) but has native OpenClaw integration for notifications and agent-mode alerts.

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

โš ๏ธ Hazard Flags

NET_EGRESS_ANY PI_WEB

๐Ÿ“‹ Capabilities

Execution

  • โŒ Shell execution
  • โŒ Code execution
  • โŒ Install dependencies
  • โŒ Persistence
  • Privilege: user

Filesystem

  • โŒ Read workspace
  • โŒ Write workspace
  • โŒ Read home
  • โŒ Write home
  • โŒ Read system
  • โŒ Delete

Network

  • Egress: any
  • โŒ Ingress

Credentials

  • โŒ Environment vars
  • โŒ Credential files
  • โŒ Browser data
  • โŒ Keychain

Actions

โŒ send messagesโŒ post publicโŒ purchaseโŒ transfer moneyโŒ deployโŒ delete external

๐Ÿ”’ Containment

Level: maximum

Recommended:
  • LOG_ACTIONS: Audit trail for all actions

โšก Risks

Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION low

Mitigation: Provide clear, detailed description of skill functionality

Data exfiltration patterns: MCP_EXFIL_CONVERSATION high

Mitigation: Remove references to exfiltrating conversation data or monitoring input.

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๐Ÿšจ Incident Response

Kill switch: Stop the agent process

Containment: Review logs for unexpected actions

Recovery: Depends on skill capabilities

๐Ÿ“„ Raw SSDS JSON click to expand
{
  "meta": {
    "document_id": "ssds:auto:student-rooms:1.1.0",
    "ssds_version": "0.2.0",
    "scanner_version": "0.4.0+fe6fd9123d50",
    "created_at": "2026-03-14T02:04:38.709Z",
    "created_by": {
      "agent": "safeagentskills-cli/generate-ssds"
    },
    "language": "en",
    "notes": "Auto-generated SSDS. Manual review recommended."
  },
  "skill": {
    "name": "student-rooms",
    "version": "1.1.0",
    "format": "agent_skill",
    "description": "Search, scan, and monitor student accommodation availability across Yugo and Aparto providers. Use when the user asks about student housing, room availability, semester accommodation, booking options, or price comparisons in any supported city. Covers Yugo (11 countries, 70+ cities including UK, Ireland, Spain, Germany, France, Italy, Portugal, Austria, Australia, USA, UAE) and Aparto (14 cities across Ireland, Spain, Italy, UK, France). Supports semester filtering, continuous watch mode with alerts, booking-flow probing, and multiple notification backends (stdout, webhook, Telegram, OpenClaw). Works standalone (no OpenClaw required) but has native OpenClaw integration for notifications and agent-mode alerts.",
    "publisher": "ClawHub",
    "source": {
      "channel": "clawhub",
      "slug": "student-rooms",
      "owner": "gonzalopezgil",
      "downloads": 211,
      "stars": 0
    },
    "artifact": {
      "sha256": "199424f7048d2e4fd1668f01d696a9f14d72363af8037fedc067f9c5197498d7",
      "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": 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": 0,
      "D": 4,
      "A": 0,
      "C": 1
    },
    "flags": [
      "NET_EGRESS_ANY",
      "PI_WEB"
    ],
    "custom_flags": [
      {
        "code": "SOCIAL_ENGINEERING",
        "name": "Social Engineering Risk",
        "description": "SOCIAL_ENG_VAGUE_DESCRIPTION: Skill description is too vague or missing"
      },
      {
        "code": "DATA_EXFILTRATION",
        "name": "Data Exfiltration Risk",
        "description": "MCP_EXFIL_CONVERSATION: Conversation, clipboard, or keystroke exfiltration patterns"
      }
    ],
    "confidence": {
      "level": "medium",
      "basis": [
        "static_analysis"
      ],
      "notes": "Detected 2 security patterns (2 vendored rule hits). Review recommended."
    },
    "rationale": {
      "H": "H0: No host access",
      "D": "D4: Critical: Credential theft or data exfiltration",
      "A": "A0: No side effects 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": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION",
        "severity": "low",
        "mitigation": "Provide clear, detailed description of skill functionality"
      },
      {
        "risk": "Data exfiltration patterns: MCP_EXFIL_CONVERSATION",
        "severity": "high",
        "mitigation": "Remove references to exfiltrating conversation data or monitoring input."
      }
    ],
    "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": "_meta.json",
      "file_path": "_meta.json"
    },
    {
      "evidence_id": "EV:file-2",
      "type": "file_excerpt",
      "title": "SKILL.md",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:cisco-1",
      "type": "file_excerpt",
      "title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:cisco-2",
      "type": "file_excerpt",
      "title": "MCP_EXFIL_CONVERSATION [HIGH] SKILL.md:135: - **message**: Sends alert text via `openclaw message send` to a channel/target.",
      "file_path": "SKILL.md"
    }
  ]
}