{
  "skill_name": "deps-analyzer",
  "skill_path": "/workspace/skills/clawhub-deps-checker",
  "skill_directory": "/workspace/skills/clawhub-deps-checker",
  "is_safe": true,
  "max_severity": "MEDIUM",
  "findings_count": 2,
  "findings": [
    {
      "id": "llm_finding_deps-analyzer_0",
      "rule_id": "LLM_DATA_EXFILTRATION",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Hardcoded External API Dependency Without User Consent",
      "description": "The skill requires OPENAI_API_KEY environment variable and sends project dependency data to OpenAI's GPT-4o-mini API without explicit user consent or disclosure in the description. This constitutes potential data exposure as the skill transmits information about the user's project structure, dependencies, and potentially sensitive package names to a third-party service. The YAML description does not mention external API calls or data transmission.",
      "file_path": "SKILL.md",
      "line_number": null,
      "snippet": "Requirements section states: 'Needs OPENAI_API_KEY environment variable' and 'How It Works' section reveals: 'Sends the results to GPT-4o-mini for analysis'. The description field only says 'Find unused and outdated dependencies' with no mention of external API usage.",
      "remediation": "1. Update the YAML description to explicitly state that the tool sends dependency data to OpenAI's API. 2. Add a privacy/data handling section explaining what data is transmitted. 3. Implement user consent prompt before sending data externally. 4. Consider offering a local-only analysis mode that doesn't require external API calls.",
      "analyzer": "llm",
      "metadata": {
        "model": "claude-sonnet-4-5-20250929",
        "overall_assessment": "The deps-analyzer skill presents MEDIUM security concerns primarily related to data exposure and social engineering through incomplete disclosure. The skill transmits project dependency information to OpenAI's API without clearly disclosing this in the description, which could surprise users who expect a local-only analysis tool. While the skill appears to serve a legitimate purpose (dependency analysis), the lack of transparency about external API usage and data transmission constitutes a security and privacy concern. The skill would benefit from explicit disclosure of its external dependencies, data handling practices, and user consent mechanisms. No critical threats like command injection or credential theft were detected, but the transparency issues should be addressed before widespread use.",
        "primary_threats": [
          "Data Exposure via Undisclosed External API",
          "Social Engineering through Incomplete Description",
          "Missing Security Metadata"
        ],
        "aitech": "AITech-8.2",
        "aitech_name": "Data Exfiltration / Exposure",
        "aisubtech": "AISubtech-8.2.3",
        "aisubtech_name": "Data Exfiltration via Agent Tooling",
        "scanner_category": "SECURITY VIOLATION",
        "meta_validated": true,
        "meta_confidence": "HIGH",
        "meta_confidence_reason": "The code clearly shows data transmission to OpenAI API (src/index.ts lines with openai.chat.completions.create), and the YAML description omits this critical detail. This is a legitimate transparency issue.",
        "meta_exploitability": "Low - Requires user to run the tool and provide their own API key",
        "meta_impact": "Medium - Project dependency information (package names, versions) exposed to third-party API without clear consent"
      }
    },
    {
      "id": "llm_finding_deps-analyzer_1",
      "rule_id": "LLM_SOCIAL_ENGINEERING",
      "category": "social_engineering",
      "severity": "MEDIUM",
      "title": "Misleading Description - Undisclosed External Dependencies",
      "description": "The skill description 'Find unused and outdated dependencies. Use when your package.json is a mess' creates the impression of a local analysis tool, but the skill actually requires external API access (OpenAI) and transmits project data externally. This is social engineering through omission - users may not realize their dependency information is being sent to third-party services when they use this skill.",
      "file_path": "SKILL.md",
      "line_number": null,
      "snippet": "YAML description: 'Find unused and outdated dependencies. Use when your package.json is a mess.' vs actual behavior documented in 'How It Works': 'Sends the results to GPT-4o-mini for analysis'. No mention of external API calls in the description.",
      "remediation": "Update the description to be transparent about external dependencies: 'Find unused and outdated dependencies using AI analysis. Sends dependency data to OpenAI API for intelligent recommendations. Requires OPENAI_API_KEY.'",
      "analyzer": "llm",
      "metadata": {
        "model": "claude-sonnet-4-5-20250929",
        "overall_assessment": "The deps-analyzer skill presents MEDIUM security concerns primarily related to data exposure and social engineering through incomplete disclosure. The skill transmits project dependency information to OpenAI's API without clearly disclosing this in the description, which could surprise users who expect a local-only analysis tool. While the skill appears to serve a legitimate purpose (dependency analysis), the lack of transparency about external API usage and data transmission constitutes a security and privacy concern. The skill would benefit from explicit disclosure of its external dependencies, data handling practices, and user consent mechanisms. No critical threats like command injection or credential theft were detected, but the transparency issues should be addressed before widespread use.",
        "primary_threats": [
          "Data Exposure via Undisclosed External API",
          "Social Engineering through Incomplete Description",
          "Missing Security Metadata"
        ],
        "aitech": "AITech-2.1",
        "aitech_name": "Social Engineering",
        "aisubtech": null,
        "aisubtech_name": null,
        "scanner_category": "SOCIAL ENGINEERING",
        "meta_validated": true,
        "meta_confidence": "HIGH",
        "meta_confidence_reason": "The description objectively omits mention of external API usage, which is a core part of the tool's functionality. This is a legitimate transparency issue that could mislead users.",
        "meta_exploitability": "Low - User must actively run the tool",
        "meta_impact": "Medium - Users may unknowingly share project metadata with third-party service"
      }
    }
  ],
  "scan_duration_seconds": 29.050135135650635,
  "duration_ms": 29050,
  "analyzers_used": [
    "static_analyzer",
    "behavioral_analyzer",
    "llm_analyzer",
    "trigger_analyzer",
    "meta_analyzer"
  ],
  "timestamp": "2026-02-06T00:02:46.991212"
}