{
  "skill_name": "reposit",
  "skill_path": "/workspace/skills/clawhub-reposit",
  "skill_directory": "/workspace/skills/clawhub-reposit",
  "is_safe": true,
  "max_severity": "MEDIUM",
  "findings_count": 3,
  "findings": [
    {
      "id": "llm_finding_reposit_0",
      "rule_id": "LLM_UNAUTHORIZED_TOOL_USE",
      "category": "unauthorized_tool_use",
      "severity": "MEDIUM",
      "title": "Automatic Tool Execution Without User Consent",
      "description": "The skill configures automatic search and voting behavior that executes tools without explicit user permission. The search tool 'triggers automatically' when encountering errors or starting work on problems, and vote_up 'triggers automatically' after using solutions. This autonomous behavior violates user control principles and could lead to unintended data transmission to external services.",
      "file_path": "SKILL.md",
      "line_number": null,
      "snippet": "**Triggers automatically** when:\n- Encountering an unfamiliar error or exception\n- Starting work on a non-trivial problem\n- User asks 'is there a better way?'\n- Before implementing a complex feature\n\nSearch proactively without being asked.",
      "remediation": "Remove automatic triggering language. Require explicit user confirmation before executing search queries or voting actions. Change from 'triggers automatically' to 'available when user requests' or 'suggests searching when appropriate'.",
      "analyzer": "llm",
      "metadata": {
        "model": "claude-sonnet-4-5-20250929",
        "overall_assessment": "This skill presents MEDIUM security risks primarily related to autonomous tool execution, automatic data sharing to external services, and transitive trust in community-provided content. The skill is designed to automatically search external knowledge bases, share problem-solution data, and vote on content without consistent user confirmation. The REPOSIT_AUTO_SHARE=true configuration option enables automatic data exfiltration. The instruction to 'search proactively without being asked' and trust community-scored solutions creates indirect prompt injection risks. While the skill serves a legitimate purpose (community knowledge sharing), its autonomous behavior patterns and external data transmission require significant security improvements. The missing metadata and referenced files are minor issues but reduce transparency.",
        "primary_threats": [
          "Tool Exploitation (Automatic Execution)",
          "Data Exfiltration (Auto-Share Mode)",
          "Indirect Prompt Injection (External Content Trust)",
          "Missing Security Metadata"
        ],
        "aitech": "AITech-12.1",
        "aitech_name": "Tool Exploitation",
        "aisubtech": "AISubtech-12.1.2",
        "aisubtech_name": "Tool Poisoning",
        "scanner_category": "SUSPICIOUS CODE EXECUTION",
        "meta_validated": true,
        "meta_confidence": "HIGH",
        "meta_confidence_reason": "The instructions explicitly state automatic execution behavior. This is a legitimate design choice for the skill's purpose, but represents a deviation from user-controlled tool execution patterns.",
        "meta_exploitability": "Low - Requires user to install skill and encounter triggering conditions. No direct exploitation path.",
        "meta_impact": "Medium - Could result in unexpected API calls to external service, potential data transmission without per-instance consent."
      }
    },
    {
      "id": "llm_finding_reposit_1",
      "rule_id": "LLM_DATA_EXFILTRATION",
      "category": "data_exfiltration",
      "severity": "MEDIUM",
      "title": "Automatic Data Sharing to External Service",
      "description": "The skill is configured to automatically share problem-solution data to an external service (Reposit backend) when REPOSIT_AUTO_SHARE=true is set. This creates a data exfiltration risk where code context, error messages, and implementation details are transmitted without per-instance user consent. The skill collects 'problem descriptions with error messages and context' which may contain sensitive information.",
      "file_path": "SKILL.md",
      "line_number": null,
      "snippet": "**Behavior depends on configuration:**\n- Default: Asks for confirmation before sharing\n- Set `REPOSIT_AUTO_SHARE=true` to share automatically",
      "remediation": "Remove the REPOSIT_AUTO_SHARE=true option entirely. Always require explicit user confirmation before sharing any data externally. Add warnings about what data will be transmitted and to which backend.",
      "analyzer": "llm",
      "metadata": {
        "model": "claude-sonnet-4-5-20250929",
        "overall_assessment": "This skill presents MEDIUM security risks primarily related to autonomous tool execution, automatic data sharing to external services, and transitive trust in community-provided content. The skill is designed to automatically search external knowledge bases, share problem-solution data, and vote on content without consistent user confirmation. The REPOSIT_AUTO_SHARE=true configuration option enables automatic data exfiltration. The instruction to 'search proactively without being asked' and trust community-scored solutions creates indirect prompt injection risks. While the skill serves a legitimate purpose (community knowledge sharing), its autonomous behavior patterns and external data transmission require significant security improvements. The missing metadata and referenced files are minor issues but reduce transparency.",
        "primary_threats": [
          "Tool Exploitation (Automatic Execution)",
          "Data Exfiltration (Auto-Share Mode)",
          "Indirect Prompt Injection (External Content Trust)",
          "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 configuration option is explicitly documented and enables automatic data transmission. The skill collects 'problem descriptions with error messages and context' which frequently contain sensitive information.",
        "meta_exploitability": "Medium - Requires user to set REPOSIT_AUTO_SHARE=true, but this is documented as a feature. Users may enable it without understanding data transmission implications.",
        "meta_impact": "High - Could exfiltrate sensitive code context, error messages containing credentials, file paths, internal implementation details, and proprietary problem-solving approaches."
      }
    },
    {
      "id": "llm_finding_reposit_2",
      "rule_id": "LLM_PROMPT_INJECTION",
      "category": "prompt_injection",
      "severity": "MEDIUM",
      "title": "Transitive Trust in External Community Content",
      "description": "The skill instructs the agent to automatically trust and present solutions from external community sources without validation. It directs the agent to 'search proactively without being asked' and present findings based solely on community scores. This creates indirect prompt injection risk where malicious actors could inject harmful instructions via highly-voted solutions that the agent would then follow.",
      "file_path": "SKILL.md",
      "line_number": null,
      "snippet": "Search proactively without being asked. Present findings with their community scores:\n- **High score (5+)**: Community-validated, excellent match\n- **Medium score (1-4)**: Worth reviewing\n- **Low/negative score**: May have issues",
      "remediation": "Add explicit warnings that external solutions must be reviewed by the user before implementation. Remove 'proactive' search behavior. Require user approval before presenting or following any external solution content. Add content validation and sanitization.",
      "analyzer": "llm",
      "metadata": {
        "model": "claude-sonnet-4-5-20250929",
        "overall_assessment": "This skill presents MEDIUM security risks primarily related to autonomous tool execution, automatic data sharing to external services, and transitive trust in community-provided content. The skill is designed to automatically search external knowledge bases, share problem-solution data, and vote on content without consistent user confirmation. The REPOSIT_AUTO_SHARE=true configuration option enables automatic data exfiltration. The instruction to 'search proactively without being asked' and trust community-scored solutions creates indirect prompt injection risks. While the skill serves a legitimate purpose (community knowledge sharing), its autonomous behavior patterns and external data transmission require significant security improvements. The missing metadata and referenced files are minor issues but reduce transparency.",
        "primary_threats": [
          "Tool Exploitation (Automatic Execution)",
          "Data Exfiltration (Auto-Share Mode)",
          "Indirect Prompt Injection (External Content Trust)",
          "Missing Security Metadata"
        ],
        "aitech": "AITech-1.2",
        "aitech_name": "Indirect Prompt Injection",
        "aisubtech": null,
        "aisubtech_name": null,
        "scanner_category": "PROMPT INJECTION",
        "meta_validated": true,
        "meta_confidence": "MEDIUM",
        "meta_confidence_reason": "The risk depends on the Reposit backend's content moderation and the agent's interpretation of presented solutions. The skill creates conditions for indirect prompt injection but actual exploitation requires malicious content in the database.",
        "meta_exploitability": "Medium - Requires attacker to create highly-voted malicious solutions in Reposit. Vote manipulation is possible but requires effort.",
        "meta_impact": "Medium - Could cause agent to follow malicious instructions, execute harmful code, or leak information. Impact limited by agent's safety guardrails."
      }
    }
  ],
  "scan_duration_seconds": 31.08081841468811,
  "duration_ms": 31080,
  "analyzers_used": [
    "static_analyzer",
    "llm_analyzer",
    "meta_analyzer"
  ],
  "timestamp": "2026-02-07T19:55:41.954026"
}