Briefed

· v1.1.2

High Risk

Set up and run a personal AI newsletter intelligence system called Briefed. Fetches Gmail newsletters daily, uses Claude Haiku to extract article summaries, and serves a polished local web reader app with voting, notes, and interest tracking. Use when a user asks to set up a newsletter reader, daily digest, inbox intelligence tool, or newsletter summariser with OpenClaw.

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

⚠️ Hazard Flags

PERSISTENCE FS_READ_WORKSPACE FS_READ_USER FS_WRITE_WORKSPACE FS_WRITE_USER FS_WRITE_SYSTEM NET_EGRESS_ANY NET_INGRESS CREDS_ENV CREDS_FILES CREDS_BROWSER 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

Unauthorized tool use: INSTRUCTED_BINARY_INSTALL high

Mitigation: Avoid instructing agents to install arbitrary binaries; bundle dependencies or use sandboxed environments

Command injection risk: MCP_SCRIPT_TAGS high

Mitigation: Remove embedded script tags and encoded payloads.

Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION, SOCIAL_ENG_ANTHROPIC_IMPERSONATION low

Mitigation: Provide clear, detailed description of skill functionality

Data exfiltration patterns: DATA_EXFIL_ENV_VARS, INSTRUCTED_SENSITIVE_SERVICE_ACCESS high

Mitigation: Minimize access to environment variables

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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:briefed:1.1.2",
    "ssds_version": "0.2.0",
    "scanner_version": "0.4.0+fe6fd9123d50",
    "created_at": "2026-03-05T15:32:11.297Z",
    "created_by": {
      "agent": "safeagentskills-cli/generate-ssds"
    },
    "language": "en",
    "notes": "Auto-generated SSDS. Manual review recommended."
  },
  "skill": {
    "name": "Briefed",
    "version": "1.1.2",
    "format": "agent_skill",
    "description": "Set up and run a personal AI newsletter intelligence system called Briefed. Fetches Gmail newsletters daily, uses Claude Haiku to extract article summaries, and serves a polished local web reader app with voting, notes, and interest tracking. Use when a user asks to set up a newsletter reader, daily digest, inbox intelligence tool, or newsletter summariser with OpenClaw.",
    "publisher": "unknown",
    "source": {
      "channel": "local"
    },
    "artifact": {
      "sha256": "ad0184a910590ba82d95f2d4dc7fabdf86c05ca2a48c3fe8503814f3e0283043",
      "hash_method": "files_sorted"
    }
  },
  "capabilities": {
    "execution": {
      "can_exec_shell": false,
      "can_exec_code": false,
      "privilege_level": "user",
      "can_install_deps": true,
      "can_persist": true
    },
    "filesystem": {
      "reads_workspace": true,
      "reads_user_home": true,
      "reads_system": false,
      "writes_workspace": true,
      "writes_user_home": true,
      "writes_system": true,
      "can_delete": false
    },
    "network": {
      "egress": "any",
      "ingress": true
    },
    "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": [
      "PERSISTENCE",
      "FS_READ_WORKSPACE",
      "FS_READ_USER",
      "FS_WRITE_WORKSPACE",
      "FS_WRITE_USER",
      "FS_WRITE_SYSTEM",
      "NET_EGRESS_ANY",
      "NET_INGRESS",
      "CREDS_ENV",
      "CREDS_FILES",
      "CREDS_BROWSER",
      "PI_WEB"
    ],
    "custom_flags": [
      {
        "code": "PERSISTENCE",
        "name": "Persistence Mechanism",
        "description": "Creates scheduled tasks or startup entries in: SKILL.md"
      },
      {
        "code": "NET_INGRESS",
        "name": "Network Server",
        "description": "Listens for incoming connections in: assets/reader/server.js"
      },
      {
        "code": "TOOL_ABUSE",
        "name": "Unauthorized Tool Use",
        "description": "INSTRUCTED_BINARY_INSTALL: Instructs agent to install external binary or package"
      },
      {
        "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_SCRIPT_TAGS: Script tags, VBScript, or encoded script data URIs"
      },
      {
        "code": "DATA_EXFILTRATION",
        "name": "Data Exfiltration Risk",
        "description": "DATA_EXFIL_ENV_VARS, INSTRUCTED_SENSITIVE_SERVICE_ACCESS: Reading environment variables that may contain secrets"
      }
    ],
    "confidence": {
      "level": "medium",
      "basis": [
        "static_analysis"
      ],
      "notes": "Detected 6 security patterns (10 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": [],
    "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_BINARY_INSTALL",
        "severity": "high",
        "mitigation": "Avoid instructing agents to install arbitrary binaries; bundle dependencies or use sandboxed environments"
      },
      {
        "risk": "Command injection risk: MCP_SCRIPT_TAGS",
        "severity": "high",
        "mitigation": "Remove embedded script tags and encoded payloads."
      },
      {
        "risk": "Social engineering indicators: SOCIAL_ENG_VAGUE_DESCRIPTION, SOCIAL_ENG_ANTHROPIC_IMPERSONATION",
        "severity": "low",
        "mitigation": "Provide clear, detailed description of skill functionality"
      },
      {
        "risk": "Data exfiltration patterns: DATA_EXFIL_ENV_VARS, INSTRUCTED_SENSITIVE_SERVICE_ACCESS",
        "severity": "high",
        "mitigation": "Minimize access to environment variables"
      }
    ],
    "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": "assets/reader/package.json",
      "file_path": "assets/reader/package.json"
    },
    {
      "evidence_id": "EV:file-2",
      "type": "file_excerpt",
      "title": "assets/reader/public/app.js",
      "file_path": "assets/reader/public/app.js"
    },
    {
      "evidence_id": "EV:file-3",
      "type": "file_excerpt",
      "title": "assets/reader/scripts/fetch-bodies.py",
      "file_path": "assets/reader/scripts/fetch-bodies.py"
    },
    {
      "evidence_id": "EV:file-4",
      "type": "file_excerpt",
      "title": "assets/reader/scripts/pre-fetch.py",
      "file_path": "assets/reader/scripts/pre-fetch.py"
    },
    {
      "evidence_id": "EV:file-5",
      "type": "file_excerpt",
      "title": "assets/reader/server.js",
      "file_path": "assets/reader/server.js"
    },
    {
      "evidence_id": "EV:file-6",
      "type": "file_excerpt",
      "title": "README.md",
      "file_path": "README.md"
    },
    {
      "evidence_id": "EV:file-7",
      "type": "file_excerpt",
      "title": "scripts/fetch-bodies.py",
      "file_path": "scripts/fetch-bodies.py"
    },
    {
      "evidence_id": "EV:file-8",
      "type": "file_excerpt",
      "title": "scripts/pre-fetch.py",
      "file_path": "scripts/pre-fetch.py"
    },
    {
      "evidence_id": "EV:file-9",
      "type": "file_excerpt",
      "title": "SKILL.md",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:file-10",
      "type": "file_excerpt",
      "title": "_meta.json",
      "file_path": "_meta.json"
    },
    {
      "evidence_id": "EV:cisco-1",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_ENV_VARS [MEDIUM] assets/reader/scripts/fetch-bodies.py:17: TOKEN_FILE = os.environ.get('BRIEFED_GMAIL_TOKEN_FILE', os.path.expanduser('~/.o",
      "file_path": "assets/reader/scripts/fetch-bodies.py"
    },
    {
      "evidence_id": "EV:cisco-2",
      "type": "file_excerpt",
      "title": "MCP_SCRIPT_TAGS [HIGH] assets/reader/scripts/fetch-bodies.py:67: html = re.sub(r'<script[^>]*>.*?</script>', '', html, flags=re.DOTALL | re.IGNOR",
      "file_path": "assets/reader/scripts/fetch-bodies.py"
    },
    {
      "evidence_id": "EV:cisco-3",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_ENV_VARS [MEDIUM] assets/reader/scripts/pre-fetch.py:20: TOKEN_FILE = os.environ.get('BRIEFED_GMAIL_TOKEN_FILE', os.path.expanduser('~/.o",
      "file_path": "assets/reader/scripts/pre-fetch.py"
    },
    {
      "evidence_id": "EV:cisco-4",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_ENV_VARS [MEDIUM] scripts/fetch-bodies.py:17: TOKEN_FILE = os.environ.get('BRIEFED_GMAIL_TOKEN_FILE', os.path.expanduser('~/.o",
      "file_path": "scripts/fetch-bodies.py"
    },
    {
      "evidence_id": "EV:cisco-5",
      "type": "file_excerpt",
      "title": "MCP_SCRIPT_TAGS [HIGH] scripts/fetch-bodies.py:67: html = re.sub(r'<script[^>]*>.*?</script>', '', html, flags=re.DOTALL | re.IGNOR",
      "file_path": "scripts/fetch-bodies.py"
    },
    {
      "evidence_id": "EV:cisco-6",
      "type": "file_excerpt",
      "title": "DATA_EXFIL_ENV_VARS [MEDIUM] scripts/pre-fetch.py:20: TOKEN_FILE = os.environ.get('BRIEFED_GMAIL_TOKEN_FILE', os.path.expanduser('~/.o",
      "file_path": "scripts/pre-fetch.py"
    },
    {
      "evidence_id": "EV:cisco-7",
      "type": "file_excerpt",
      "title": "INSTRUCTED_BINARY_INSTALL [HIGH] SKILL.md:67: python3 -m pip install -r scripts/requirements.txt",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:cisco-8",
      "type": "file_excerpt",
      "title": "INSTRUCTED_SENSITIVE_SERVICE_ACCESS [HIGH] SKILL.md:3: description: Set up and run a personal AI newsletter intelligence system called ",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:cisco-9",
      "type": "file_excerpt",
      "title": "SOCIAL_ENG_VAGUE_DESCRIPTION [LOW] SKILL.md:1: ---",
      "file_path": "SKILL.md"
    },
    {
      "evidence_id": "EV:cisco-10",
      "type": "file_excerpt",
      "title": "SOCIAL_ENG_ANTHROPIC_IMPERSONATION [MEDIUM] SKILL.md:202: Cron schedule: `0 7 * * *` (7am daily), model: `anthropic/claude-haiku-4-5`, del",
      "file_path": "SKILL.md"
    }
  ]
}