🛡️ SafeAgentSkills

中文工具包

· v1.0.1

High Risk

"为OpenClaw提供中文文本处理、翻译、OCR、语音识别等功能的综合工具包。支持中文分词、拼音转换、中英文翻译、关键词提取、文本分析等功能。"

H:4 D:4 A:3 C:1

⚠️ Hazard Flags

EXEC PRIVILEGED FS_READ_WORKSPACE NET_EGRESS_ANY CREDS_ENV ACT_POST_PUBLIC PI_WEB PI_DOCUMENTS

📋 Capabilities

Execution

  • ✅ Shell execution
  • ❌ Code execution
  • ❌ Install dependencies
  • ❌ Persistence
  • Privilege: admin

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

Required:
  • APPROVE_POST: Can post publicly
  • SANDBOX_CONTAINER: Code execution capability
Recommended:
  • LOG_ACTIONS: Audit trail for all actions

⚡ Risks

Prompt injection patterns detected in: setup.py high

Mitigation: Review SKILL.md for hidden instructions. Do not use with untrusted input.

Unauthorized tool use: MCP_SYS_CRITICAL_ACCESS, INSTRUCTED_BINARY_INSTALL, INSTRUCTED_GIT_CLONE_AND_BUILD, TOOL_ABUSE_SYSTEM_PACKAGE_INSTALL, MCP_SYS_PRIVILEGE_ESCALATION critical

Mitigation: Avoid accessing system directories unless absolutely necessary.

Command injection risk: COMMAND_INJECTION_EVAL, COMMAND_INJECTION_USER_INPUT critical

Mitigation: Avoid eval(), exec(), and compile(). Use safer alternatives like ast.literal_eval()

Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION low

Mitigation: Provide clear, detailed description of skill functionality

Data exfiltration patterns: DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_ENV_VARS medium

Mitigation: Ensure network access is necessary and documented

Want a deeper analysis?

This report was generated by static analysis. Get an LLM-powered deep review with behavioral reasoning and attack surface mapping.

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🚨 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:chinese-toolkit:1.0.1",
    "ssds_version": "0.2.0",
    "scanner_version": "0.4.0+fe6fd9123d50",
    "created_at": "2026-03-05T12:27:39.863Z",
    "created_by": {
      "agent": "safeagentskills-cli/generate-ssds"
    },
    "language": "en",
    "notes": "Auto-generated SSDS. Manual review recommended."
  },
  "skill": {
    "name": "中文工具包",
    "version": "1.0.1",
    "format": "agent_skill",
    "description": "\"为OpenClaw提供中文文本处理、翻译、OCR、语音识别等功能的综合工具包。支持中文分词、拼音转换、中英文翻译、关键词提取、文本分析等功能。\"",
    "publisher": "unknown",
    "source": {
      "channel": "local"
    },
    "artifact": {
      "sha256": "acb3183db0f2e2e6496ffcefa7431afa2493422062c9f15c6e3c7e11d5910b92",
      "hash_method": "files_sorted"
    }
  },
  "capabilities": {
    "execution": {
      "can_exec_shell": true,
      "can_exec_code": false,
      "privilege_level": "admin",
      "can_install_deps": false,
      "can_persist": false
    },
    "filesystem": {
      "reads_workspace": true,
      "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": true,
      "reads_credential_files": false,
      "reads_browser_data": false,
      "reads_keychain": false
    },
    "services": [],
    "actions": {
      "can_send_messages": false,
      "can_post_public": true,
      "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": [
      "EXEC",
      "PRIVILEGED",
      "FS_READ_WORKSPACE",
      "NET_EGRESS_ANY",
      "CREDS_ENV",
      "ACT_POST_PUBLIC",
      "PI_WEB",
      "PI_DOCUMENTS"
    ],
    "custom_flags": [
      {
        "code": "PROMPT_INJECTION",
        "name": "Prompt Injection Risk",
        "description": "Contains prompt injection patterns in: setup.py"
      },
      {
        "code": "PRIVILEGE_ESCALATION",
        "name": "Privilege Escalation",
        "description": "Uses elevated privileges (sudo/root) in: scripts/install_deps.sh, SKILL.md"
      },
      {
        "code": "TOOL_ABUSE",
        "name": "Unauthorized Tool Use",
        "description": "MCP_SYS_CRITICAL_ACCESS, INSTRUCTED_BINARY_INSTALL, INSTRUCTED_GIT_CLONE_AND_BUILD, TOOL_ABUSE_SYSTEM_PACKAGE_INSTALL, MCP_SYS_PRIVILEGE_ESCALATION: Access to critical system directories"
      },
      {
        "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": "COMMAND_INJECTION_EVAL, COMMAND_INJECTION_USER_INPUT: Dangerous code execution functions that can execute arbitrary code"
      },
      {
        "code": "DATA_EXFILTRATION",
        "name": "Data Exfiltration Risk",
        "description": "DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_ENV_VARS: HTTP client library imports that enable external communication"
      }
    ],
    "confidence": {
      "level": "medium",
      "basis": [
        "static_analysis"
      ],
      "notes": "Detected 6 security patterns (19 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_POST",
        "reason": "Can post publicly"
      },
      {
        "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": "Prompt injection patterns detected in: setup.py",
        "severity": "high",
        "mitigation": "Review SKILL.md for hidden instructions. Do not use with untrusted input."
      },
      {
        "risk": "Unauthorized tool use: MCP_SYS_CRITICAL_ACCESS, INSTRUCTED_BINARY_INSTALL, INSTRUCTED_GIT_CLONE_AND_BUILD, TOOL_ABUSE_SYSTEM_PACKAGE_INSTALL, MCP_SYS_PRIVILEGE_ESCALATION",
        "severity": "critical",
        "mitigation": "Avoid accessing system directories unless absolutely necessary."
      },
      {
        "risk": "Command injection risk: COMMAND_INJECTION_EVAL, COMMAND_INJECTION_USER_INPUT",
        "severity": "critical",
        "mitigation": "Avoid eval(), exec(), and compile(). Use safer alternatives like ast.literal_eval()"
      },
      {
        "risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION",
        "severity": "low",
        "mitigation": "Provide clear, detailed description of skill functionality"
      },
      {
        "risk": "Data exfiltration patterns: DATA_EXFIL_NETWORK_REQUESTS, DATA_EXFIL_ENV_VARS",
        "severity": "medium",
        "mitigation": "Ensure network access is necessary and documented"
      }
    ],
    "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": "ascii_test.py",
      "file_path": "ascii_test.py"
    },
    {
      "evidence_id": "EV:file-2",
      "type": "file_excerpt",
      "title": "check_release_ascii.py",
      "file_path": "check_release_ascii.py"
    },
    {
      "evidence_id": "EV:file-3",
      "type": "file_excerpt",
      "title": "check_release_status.py",
      "file_path": "check_release_status.py"
    },
    {
      "evidence_id": "EV:file-4",
      "type": "file_excerpt",
      "title": "chinese_tools_core.py",
      "file_path": "chinese_tools_core.py"
    },
    {
      "evidence_id": "EV:file-5",
      "type": "file_excerpt",
      "title": "chinese_tools_fixed.py",
      "file_path": "chinese_tools_fixed.py"
    },
    {
      "evidence_id": "EV:file-6",
      "type": "file_excerpt",
      "title": "chinese_tools.py",
      "file_path": "chinese_tools.py"
    },
    {
      "evidence_id": "EV:file-7",
      "type": "file_excerpt",
      "title": "examples/basic_usage.py",
      "file_path": "examples/basic_usage.py"
    },
    {
      "evidence_id": "EV:file-8",
      "type": "file_excerpt",
      "title": "init_git_repo.sh",
      "file_path": "init_git_repo.sh"
    },
    {
      "evidence_id": "EV:file-9",
      "type": "file_excerpt",
      "title": "install.sh",
      "file_path": "install.sh"
    },
    {
      "evidence_id": "EV:file-10",
      "type": "file_excerpt",
      "title": "openclaw_integration.py",
      "file_path": "openclaw_integration.py"
    },
    {
      "evidence_id": "EV:cisco-1",
      "type": "file_excerpt",
      "title": "COMMAND_INJECTION_EVAL [CRITICAL] check_release_ascii.py:161: __import__(package)",
      "file_path": "check_release_ascii.py"
    },
    {
      "evidence_id": "EV:cisco-2",
      "type": "file_excerpt",
      "title": "COMMAND_INJECTION_EVAL [CRITICAL] check_release_status.py:187: __import__(package)",
      "file_path": "check_release_status.py"
    },
    {
      "evidence_id": "EV:cisco-3",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] chinese_tools_core.py:280: import requests",
      "file_path": "chinese_tools_core.py"
    },
    {
      "evidence_id": "EV:cisco-4",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_ENV_VARS [MEDIUM] chinese_tools_core.py:42: \"app_key\": os.getenv(\"BAIDU_TRANSLATE_APP_KEY\", \"\")",
      "file_path": "chinese_tools_core.py"
    },
    {
      "evidence_id": "EV:cisco-5",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_NETWORK_REQUESTS [MEDIUM] chinese_tools_fixed.py:130: import requests",
      "file_path": "chinese_tools_fixed.py"
    },
    {
      "evidence_id": "EV:cisco-6",
      "type": "file_excerpt",
      "title": "MCP_SYS_CRITICAL_ACCESS [HIGH] init_git_repo.sh:1: #!/bin/bash",
      "file_path": "init_git_repo.sh"
    },
    {
      "evidence_id": "EV:cisco-7",
      "type": "file_excerpt",
      "title": "MCP_SYS_CRITICAL_ACCESS [HIGH] install.sh:1: #!/bin/bash",
      "file_path": "install.sh"
    },
    {
      "evidence_id": "EV:cisco-8",
      "type": "file_excerpt",
      "title": "MCP_SCRIPT_ANSI_DECEPTION [HIGH] install.sh:12: RED='\\033[0;31m'",
      "file_path": "install.sh"
    },
    {
      "evidence_id": "EV:cisco-9",
      "type": "file_excerpt",
      "title": "TIRITH_ANSI_ESCAPE_IN_STRING [HIGH] install.sh:12: RED='\\033[0;31m'",
      "file_path": "install.sh"
    },
    {
      "evidence_id": "EV:cisco-10",
      "type": "file_excerpt",
      "title": "INSTRUCTED_BINARY_INSTALL [HIGH] README.md:57: pip install -r requirements.txt",
      "file_path": "README.md"
    }
  ]
}