{
  "skill_name": "adaptyv",
  "skill_path": "/home/runner/work/skill-scanner-test/skill-scanner-test/scripts/../skills/K-Dense-AI-scientific-agent-skills/skills/adaptyv",
  "is_safe": false,
  "max_severity": "HIGH",
  "findings_count": 2,
  "findings": [
    {
      "id": "CORRELATED_SENSITIVE_NETWORK_FLOW_003af3fae111",
      "rule_id": "CORRELATED_SENSITIVE_NETWORK_FLOW",
      "category": "data_exfiltration",
      "severity": "HIGH",
      "title": "Sensitive source reaches a network sink",
      "description": "Correlated sensitive_environment \u2192 network behavior across SKILL.md.",
      "file_path": "SKILL.md",
      "line_number": 151,
      "snippet": null,
      "remediation": "Remove the transmission or constrain it to explicitly declared, trusted destinations.",
      "analyzer": "correlation",
      "metadata": {
        "files_involved": [
          "SKILL.md"
        ],
        "semantic_facts": {
          "evidence_kind": "fenced_code_flow",
          "context_kind": "code",
          "commands": [
            {
              "executable": "httpx",
              "argument_classes": [
                "request_method",
                "credential_authentication",
                "destination_dynamic"
              ],
              "downloads": true,
              "executes": false,
              "destructive": false,
              "privilege_change": false,
              "source_class": "network",
              "sink_class": "network",
              "file_path": "SKILL.md"
            }
          ],
          "urls": [],
          "flows": [
            {
              "source_class": "sensitive_environment",
              "sink_class": "network",
              "transforms": [],
              "cross_file": false,
              "source_path": "SKILL.md",
              "sink_path": "SKILL.md"
            }
          ],
          "reference_edges": [],
          "signals": [
            {
              "rule_id": "CORRELATION_SIGNAL",
              "kind": "correlated_behavior",
              "file_path": "SKILL.md",
              "value_class": "sensitive_source"
            },
            {
              "rule_id": "CORRELATION_SIGNAL",
              "kind": "fenced_code_language",
              "file_path": "SKILL.md",
              "value_class": "python"
            }
          ],
          "candidate_flow": {
            "source_class": "sensitive_environment",
            "sink_class": "network",
            "transforms": [],
            "cross_file": false,
            "source_path": "SKILL.md",
            "sink_path": "SKILL.md"
          }
        },
        "aitech": "AITech-8.2",
        "aitech_name": "Data Exfiltration / Exposure",
        "aisubtech": "AISubtech-8.2.3",
        "aisubtech_name": "Data Exfiltration via Agent Tooling",
        "aitech_mappings": [
          "OWASP: LLM02:2026: Sensitive Information Disclosure",
          "OWASP: ASI09: Human-Agent Trust Exploitation",
          "MITRE ATLAS: AML.T0024.000: Exfiltration via AI Inference API: Infer Training Data Membership",
          "MITRE ATLAS: AML.T0035: AI Artifact Collection",
          "MITRE ATLAS: AML.T0037: Data From Local System",
          "MITRE ATLAS: AML.T0057: LLM Data Leakage",
          "NIST AML: NISTAML.037: Training Data Attacks"
        ],
        "aisubtech_mappings": [
          "OWASP: LLM02:2026: Sensitive Information Disclosure",
          "OWASP: ASI02: Tool Misuse & Exploitation",
          "OWASP: ASI09: Human-Agent Trust Exploitation",
          "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation",
          "NIST AML: N/A"
        ],
        "framework_mappings": [
          "OWASP: LLM02:2026: Sensitive Information Disclosure",
          "OWASP: ASI02: Tool Misuse & Exploitation",
          "OWASP: ASI09: Human-Agent Trust Exploitation",
          "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation",
          "NIST AML: N/A"
        ],
        "taxonomy_status": "mapped",
        "taxonomy_source": "rule"
      }
    },
    {
      "id": "CORRELATED_SENSITIVE_NETWORK_FLOW_6456ca2c0b52",
      "rule_id": "CORRELATED_SENSITIVE_NETWORK_FLOW",
      "category": "data_exfiltration",
      "severity": "HIGH",
      "title": "Sensitive source reaches a network sink",
      "description": "Correlated sensitive_environment \u2192 network behavior across SKILL.md.",
      "file_path": "SKILL.md",
      "line_number": 158,
      "snippet": null,
      "remediation": "Remove the transmission or constrain it to explicitly declared, trusted destinations.",
      "analyzer": "correlation",
      "metadata": {
        "files_involved": [
          "SKILL.md"
        ],
        "semantic_facts": {
          "evidence_kind": "fenced_code_flow",
          "context_kind": "code",
          "commands": [
            {
              "executable": "httpx",
              "argument_classes": [
                "request_method",
                "credential_authentication",
                "destination_dynamic"
              ],
              "downloads": true,
              "executes": false,
              "destructive": false,
              "privilege_change": false,
              "source_class": "network",
              "sink_class": "network",
              "file_path": "SKILL.md"
            }
          ],
          "urls": [],
          "flows": [
            {
              "source_class": "sensitive_environment",
              "sink_class": "network",
              "transforms": [],
              "cross_file": false,
              "source_path": "SKILL.md",
              "sink_path": "SKILL.md"
            }
          ],
          "reference_edges": [],
          "signals": [
            {
              "rule_id": "CORRELATION_SIGNAL",
              "kind": "correlated_behavior",
              "file_path": "SKILL.md",
              "value_class": "sensitive_source"
            },
            {
              "rule_id": "CORRELATION_SIGNAL",
              "kind": "fenced_code_language",
              "file_path": "SKILL.md",
              "value_class": "python"
            }
          ],
          "candidate_flow": {
            "source_class": "sensitive_environment",
            "sink_class": "network",
            "transforms": [],
            "cross_file": false,
            "source_path": "SKILL.md",
            "sink_path": "SKILL.md"
          }
        },
        "aitech": "AITech-8.2",
        "aitech_name": "Data Exfiltration / Exposure",
        "aisubtech": "AISubtech-8.2.3",
        "aisubtech_name": "Data Exfiltration via Agent Tooling",
        "aitech_mappings": [
          "OWASP: LLM02:2026: Sensitive Information Disclosure",
          "OWASP: ASI09: Human-Agent Trust Exploitation",
          "MITRE ATLAS: AML.T0024.000: Exfiltration via AI Inference API: Infer Training Data Membership",
          "MITRE ATLAS: AML.T0035: AI Artifact Collection",
          "MITRE ATLAS: AML.T0037: Data From Local System",
          "MITRE ATLAS: AML.T0057: LLM Data Leakage",
          "NIST AML: NISTAML.037: Training Data Attacks"
        ],
        "aisubtech_mappings": [
          "OWASP: LLM02:2026: Sensitive Information Disclosure",
          "OWASP: ASI02: Tool Misuse & Exploitation",
          "OWASP: ASI09: Human-Agent Trust Exploitation",
          "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation",
          "NIST AML: N/A"
        ],
        "framework_mappings": [
          "OWASP: LLM02:2026: Sensitive Information Disclosure",
          "OWASP: ASI02: Tool Misuse & Exploitation",
          "OWASP: ASI09: Human-Agent Trust Exploitation",
          "MITRE ATLAS: AML.T0086: Exfiltration via AI Agent Tool Invocation",
          "NIST AML: N/A"
        ],
        "taxonomy_status": "mapped",
        "taxonomy_source": "rule"
      }
    }
  ],
  "scan_duration_seconds": 0.06980323791503906,
  "duration_ms": 69,
  "analyzers_used": [
    "static_analyzer",
    "bytecode",
    "pipeline",
    "correlation",
    "behavioral_analyzer",
    "trigger_analyzer"
  ],
  "timestamp": "2026-10-21T21:36:47.882695+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": "K-Dense-AI",
  "repo_url": "https://github.com/K-Dense-AI/scientific-agent-skills"
}