{
  "skill_name": "chromadb-memory",
  "skill_path": "/workspace/skills/clawhub-chromadb-memory",
  "skill_directory": "/workspace/skills/clawhub-chromadb-memory",
  "is_safe": true,
  "max_severity": "MEDIUM",
  "findings_count": 1,
  "findings": [
    {
      "id": "llm_finding_chromadb-memory_0",
      "rule_id": "LLM_COMMAND_INJECTION",
      "category": "command_injection",
      "severity": "MEDIUM",
      "title": "Command Injection Risk in Collection ID Retrieval",
      "description": "The installation instructions include a shell command that pipes curl output directly to Python without validation. The command 'curl -s http://localhost:8100/api/v2/tenants/default_tenant/databases/default_database/collections | python3 -c \"import json,sys; [print(f'{c[\"id\"]}  {c[\"name\"]}') for c in json.load(sys.stdin)]\"' could be exploited if an attacker controls the ChromaDB server response. Malicious JSON could potentially cause unexpected behavior or information disclosure through crafted collection names.",
      "file_path": "SKILL.md",
      "line_number": null,
      "snippet": "curl -s http://localhost:8100/api/v2/tenants/default_tenant/databases/default_database/collections | python3 -c \"import json,sys; [print(f'{c[\"id\"]}  {c[\"name\"]}') for c in json.load(sys.stdin)]\"",
      "remediation": "Add validation and error handling. Consider using a dedicated script with proper JSON parsing and sanitization instead of inline Python. Warn users to only run this against trusted ChromaDB instances.",
      "analyzer": "llm",
      "metadata": {
        "model": "claude-sonnet-4-5-20250929",
        "overall_assessment": "This skill presents LOW to MEDIUM security risk. It's primarily a plugin extension for OpenClaw that integrates ChromaDB and Ollama for semantic memory. The main concern is a command injection risk in the installation instructions where unsanitized curl output is piped to Python. The skill itself appears to be a legitimate memory enhancement tool with local-only dependencies (no cloud APIs), but the package is incomplete - documentation references TypeScript files that aren't included. Missing manifest metadata (license, allowed-tools, compatibility) reduces transparency. The auto-recall feature could impact performance but isn't a direct security threat. Overall, this appears to be a work-in-progress or incorrectly packaged skill rather than a malicious one, but the command injection risk in setup instructions should be addressed.",
        "primary_threats": [
          "Command Injection in Installation",
          "Missing Package Files",
          "Incomplete Metadata"
        ],
        "aitech": "AITech-9.1",
        "aitech_name": "Model or Agentic System Manipulation",
        "aisubtech": "AISubtech-9.1.4",
        "aisubtech_name": "Injection Attacks (SQL, Command Execution, XSS)",
        "scanner_category": "INJECTION ATTACK",
        "meta_validated": true,
        "meta_confidence": "HIGH",
        "meta_confidence_reason": "LLM analyzer correctly identified a real command injection risk. While the attack requires a compromised ChromaDB server (localhost:8100), the piped execution pattern is inherently unsafe. The Python f-string directly interpolates untrusted data without sanitization, which could lead to terminal escape sequence injection or information disclosure through crafted collection names.",
        "meta_exploitability": "Medium - Requires attacker to control the ChromaDB server response (localhost:8100), but if achieved, can inject malicious content into terminal output",
        "meta_impact": "Medium - Could lead to terminal escape sequence injection, information disclosure, or unexpected behavior during installation"
      }
    }
  ],
  "scan_duration_seconds": 26.86364197731018,
  "duration_ms": 26863,
  "analyzers_used": [
    "static_analyzer",
    "behavioral_analyzer",
    "llm_analyzer",
    "trigger_analyzer",
    "meta_analyzer"
  ],
  "timestamp": "2026-02-05T21:40:03.605955"
}