{
  "skill_name": "foundry-iq",
  "skill_path": "/Users/brianlevine/claude-projects/skill-scanner-test/skills/microsoft-azure-skills/.github/plugins/foundry-iq-skills/skills/foundry-iq",
  "is_safe": true,
  "max_severity": "MEDIUM",
  "findings_count": 2,
  "findings": [
    {
      "id": "TOOL_MISMATCH_NETWORK_7cd17ea12b",
      "rule_id": "TOOL_ABUSE_UNDECLARED_NETWORK",
      "category": "unauthorized_tool_use",
      "severity": "MEDIUM",
      "title": "Undeclared network usage",
      "description": "Skill code uses network libraries but doesn't declare network requirement",
      "file_path": "SKILL.md",
      "line_number": null,
      "snippet": null,
      "remediation": "Declare network usage in compatibility field or remove network calls",
      "analyzer": "static",
      "metadata": {
        "semantic_facts": {
          "evidence_kind": "capability_mismatch",
          "context_kind": "manifest",
          "signals": [
            {
              "rule_id": "TOOL_ABUSE_UNDECLARED_NETWORK",
              "kind": "undeclared_network",
              "file_path": "SKILL.md",
              "value_class": "external_network"
            }
          ],
          "candidate_flow": {
            "source_class": "skill_code",
            "sink_class": "external_network",
            "transforms": [],
            "cross_file": false,
            "source_path": "helpers/_common.py",
            "sink_path": "helpers/_common.py"
          },
          "flows": [
            {
              "source_class": "skill_code",
              "sink_class": "external_network",
              "transforms": [],
              "cross_file": false,
              "source_path": "helpers/_common.py",
              "sink_path": "helpers/_common.py"
            }
          ]
        },
        "aitech": "AITech-2.1",
        "aitech_name": "Excessive Agency",
        "aisubtech": "AISubtech-2.1.2",
        "aisubtech_name": "Capability and Permission Overreach",
        "aitech_mappings": [
          "OWASP: LLM03:2026: Excessive Agency",
          "OWASP: ASI10: Rogue Agents",
          "MITRE ATLAS: N/A",
          "NIST AML: N/A"
        ],
        "aisubtech_mappings": [
          "OWASP: LLM03:2026: Excessive Agency",
          "OWASP: ASI10: Rogue Agents",
          "MITRE ATLAS: N/A",
          "NIST AML: N/A"
        ],
        "framework_mappings": [
          "OWASP: LLM03:2026: Excessive Agency",
          "OWASP: ASI10: Rogue Agents",
          "MITRE ATLAS: N/A",
          "NIST AML: N/A"
        ],
        "taxonomy_status": "mapped",
        "taxonomy_source": "rule"
      }
    },
    {
      "id": "UNDECLARED_NETWORK_DESTINATION_cfc52743b0",
      "rule_id": "UNDECLARED_NETWORK_DESTINATION",
      "category": "unauthorized_tool_use",
      "severity": "LOW",
      "title": "Script contacts a destination the documentation never mentions",
      "description": "Script contacts or configures 'schemas.openxmlformats.org' but the skill documentation never visibly mentions it. Undocumented network destinations can indicate behaviour the manifest and description do not disclose.",
      "file_path": "helpers/_document_adapters.py",
      "line_number": 23,
      "snippet": null,
      "remediation": "Document the destination in SKILL.md (or the manifest description) if it is intended, or remove the undisclosed network access. Organizations can list internal hosts in llm_analysis.trusted_reference_domains.",
      "analyzer": "static",
      "metadata": {
        "semantic_facts": {
          "evidence_kind": "pattern_match",
          "context_kind": "code",
          "signals": [
            {
              "rule_id": "UNDECLARED_NETWORK_DESTINATION",
              "kind": "unreferenced_executable",
              "file_path": "helpers/_document_adapters.py",
              "value_class": "python"
            }
          ]
        },
        "aitech": "AITech-9.1",
        "aitech_name": "Model or Agentic System Manipulation",
        "aisubtech": "AISubtech-9.1.3",
        "aisubtech_name": "Unauthorized or Unsolicited Network Access",
        "aitech_mappings": [
          "OWASP: LLM04:2026: Supply Chain",
          "OWASP: ASI04: Agentic Supply Chain Vulnerabilities",
          "OWASP: ASI05: Unexpected Code Execution (RCE)",
          "MITRE ATLAS: AML.T0050: Command and Scripting Interpreter",
          "NIST AML: NISTAML.023: Backdoor Poisoning",
          "Cisco AI MDL Code: MDL-006",
          "Cisco AI MDL Code: MDL-007",
          "Cisco AI MDL Code: MDL-005",
          "Cisco AI MDL Code: MDL-010",
          "Cisco AI MDL Code: MDL-012",
          "Cisco AI MDL Code: MDL-014",
          "Cisco AI MDL Code: MDL-015",
          "Cisco AI MDL Code: MDL-019"
        ],
        "aisubtech_mappings": [
          "OWASP: LLM04:2026: Supply Chain",
          "OWASP: ASI04: Agentic Supply Chain Vulnerabilities",
          "OWASP: ASI05: Unexpected Code Execution (RCE)",
          "MITRE ATLAS: AML.T0049: Exploit Public Facing Application",
          "NIST AML: AML.T0072: Reverse Shell",
          "NIST AML: N/A"
        ],
        "framework_mappings": [
          "OWASP: LLM04:2026: Supply Chain",
          "OWASP: ASI04: Agentic Supply Chain Vulnerabilities",
          "OWASP: ASI05: Unexpected Code Execution (RCE)",
          "MITRE ATLAS: AML.T0049: Exploit Public Facing Application",
          "NIST AML: AML.T0072: Reverse Shell",
          "NIST AML: N/A"
        ],
        "taxonomy_status": "mapped",
        "taxonomy_source": "rule"
      }
    }
  ],
  "scan_duration_seconds": 4.69035792350769,
  "duration_ms": 4690,
  "analyzers_used": [
    "static_analyzer",
    "bytecode",
    "pipeline",
    "correlation",
    "behavioral_analyzer",
    "trigger_analyzer"
  ],
  "timestamp": "2026-10-22T04:35:53.935653+00:00",
  "scan_metadata": {
    "policy_name": "default",
    "policy_version": "1.0",
    "policy_preset_base": "balanced",
    "policy_fingerprint_sha256": "3f48e661bfbc54597f97bbf3dcf2c1cbae2f596ddc79c0b44784efea326b3d1d",
    "cel": {
      "mode": "shadow",
      "runtime": "cel-go",
      "runtime_version": "v0.32.0;helper=2.3.1",
      "fact_schema": "v1",
      "expression_set_hash": "f26459b8f4a46a974d7ab0aaae34127b5b6a40d693e266e12fca03a69a6d26aa",
      "evaluated": 0,
      "retained": 2,
      "would_suppress": 0,
      "suppressed": 0,
      "fallbacks": 0,
      "projection_incomplete": 0,
      "elapsed_ms": 0.0,
      "projection_ms": 0.0,
      "evaluation_ms": 0.0,
      "errors": [],
      "per_rule": {},
      "suppressed_candidates": []
    },
    "rule_contract": {
      "status": "passed",
      "schema_version": 2,
      "checked": 2,
      "invalid_findings": 0,
      "errors": []
    },
    "taxonomy": {
      "source": "builtin",
      "version": "2.0.0",
      "name": "Cisco AI Security and Safety Taxonomy",
      "revision": "655a343ac943a51b6f61f86e47156e7752c15dc6",
      "snapshot_sha256": "413e8ce9081e6d91b78aaa0d0b1c06cdc15d0406ad319e23e9f9f4f80735c441",
      "findings": {
        "mapped": 2,
        "not_applicable": 0,
        "unmapped": 0
      }
    }
  },
  "scanner_version": "2.3.1",
  "source": "microsoft",
  "repo_url": "https://github.com/microsoft/azure-skills"
}