{
  "executive_summary": {
    "badge": "Caution",
    "security_score": 75.8,
    "view": "composite",
    "scanner_badges": {
      "agentshield": "unavailable",
      "cisco-skill-scanner": "Verified",
      "agent-audit-kit": "Verified",
      "bearer": "Verified",
      "nerlo-behavioral": "Verified",
      "nerlo-install-instruction": "Unsafe",
      "trivy": "Verified",
      "osv-scanner": "Unsafe"
    },
    "finding_counts": {
      "critical": 0,
      "high": 6,
      "medium": 1,
      "low": 4
    },
    "recommendation": "xctools-mcp-server may be integrated with compensating controls: review the 6 high-severity findings below, restrict granted permissions to the minimum the manifest declares, and subscribe to monitoring alerts for score changes."
  },
  "source_provenance": {
    "repository_url": "https://github.com/nzrsky/xctools-mcp-server",
    "commit_sha_scanned": null,
    "license": null,
    "maintainer": null,
    "name": "xctools-mcp-server",
    "version": "0.1.0"
  },
  "per_scanner_detail": [
    {
      "scanner_name": "agentshield",
      "scanner_version": "1.4.0",
      "score": 100.0,
      "scanner_badge": "Verified",
      "findings": [],
      "execution_duration_seconds": 1.516644264018396,
      "status": "not_applicable",
      "metadata": {
        "source": "npm",
        "source_url": "https://www.npmjs.com/package/ecc-agentshield",
        "install_command": "npm install -g ecc-agentshield@1.4.0",
        "scans_performed": []
      },
      "display_score": null,
      "display_badge": "unavailable"
    },
    {
      "scanner_name": "cisco-skill-scanner",
      "scanner_version": "2.0.11",
      "score": 93.5,
      "scanner_badge": "Verified",
      "findings": [
        {
          "tool_name": "cisco-skill-scanner",
          "severity": "low",
          "category": "command_injection",
          "file_path": "/repo/README.md",
          "line_number": 1,
          "rule_identifier": "PIPELINE_TAINT_FLOW",
          "title": "Dangerous data flow in command pipeline",
          "description": "Pipeline downloads data from the network and executes it: `curl -LsSf https://astral.sh/uv/install.sh | sh`. This is a remote code execution pattern. (Note: uses a well-known installer URL - likely a standard installation command.)",
          "remediation": "Review the command pipeline. Avoid piping sensitive data to network commands or shell execution."
        },
        {
          "tool_name": "cisco-skill-scanner",
          "severity": "low",
          "category": "social_engineering",
          "file_path": "/repo/SKILL.md",
          "line_number": null,
          "rule_identifier": "SOCIAL_ENG_VAGUE_DESCRIPTION",
          "title": "Vague skill description",
          "description": "Skill description is too short (16 chars). Provide detailed explanation.",
          "remediation": "Provide a clear, detailed description of what the skill does and when to use it"
        },
        {
          "tool_name": "cisco-skill-scanner",
          "severity": "informational",
          "category": "policy_violation",
          "file_path": "/repo/SKILL.md",
          "line_number": null,
          "rule_identifier": "MANIFEST_MISSING_LICENSE",
          "title": "Skill does not specify a license",
          "description": "Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.",
          "remediation": "Add 'license' field to SKILL.md frontmatter (e.g., MIT, Apache-2.0)"
        },
        {
          "tool_name": "cisco-skill-scanner",
          "severity": "low",
          "category": "command_injection",
          "file_path": "/repo/SKILL.md",
          "line_number": 1,
          "rule_identifier": "PIPELINE_TAINT_FLOW",
          "title": "Dangerous data flow in command pipeline",
          "description": "Pipeline downloads data from the network and executes it: `curl -LsSf https://astral.sh/uv/install.sh | sh`. This is a remote code execution pattern. (Note: uses a well-known installer URL - likely a standard installation command.)",
          "remediation": "Review the command pipeline. Avoid piping sensitive data to network commands or shell execution."
        }
      ],
      "execution_duration_seconds": 40.70723793201614,
      "status": "complete",
      "metadata": {
        "source": "pypi",
        "source_url": "https://pypi.org/project/cisco-ai-skill-scanner/2.0.11/",
        "report_type": "cisco-skill-sast",
        "analyzers_used": [
          "bytecode",
          "pipeline",
          "static_analyzer"
        ],
        "skills_scanned": [
          "repo"
        ],
        "install_command": "pip install --require-hashes -r docker/scanner-base/cisco-skill-scanner/requirements.txt",
        "severity_counts": {
          "low": 3,
          "high": 0,
          "medium": 0,
          "critical": 0,
          "informational": 1
        }
      },
      "display_score": 93.5,
      "display_badge": "Verified"
    },
    {
      "scanner_name": "agent-audit-kit",
      "scanner_version": "0.3.26",
      "score": 93.0,
      "scanner_badge": "Verified",
      "findings": [
        {
          "tool_name": "agent-audit-kit",
          "severity": "medium",
          "category": "supply-chain",
          "file_path": "pyproject.toml",
          "line_number": null,
          "rule_identifier": "AAK-SUPPLY-004",
          "title": "No lockfile present",
          "description": "A package manifest exists but no lockfile was found. Without lockfiles, dependency versions float and can be silently updated.",
          "remediation": "Generate and commit lockfile."
        },
        {
          "tool_name": "agent-audit-kit",
          "severity": "low",
          "category": "supply-chain",
          "file_path": "SECURITY.md",
          "line_number": null,
          "rule_identifier": "AAK-SEC-MD-001",
          "title": "MCP server repo missing SECURITY.md or security_contact",
          "description": "A repository whose name or pyproject keywords declare it as an MCP server ships without a top-level SECURITY.md AND without a `security_contact` entry in marketplace.json / pyproject.toml / package.json. Anthropic's April 2026 SECURITY.md guidance makes this the baseline expectation so researchers have a channel.",
          "remediation": "Add SECURITY.md at the repo root with a disclosure email and response SLA; OR add `security_contact` to the project manifest."
        }
      ],
      "execution_duration_seconds": 10.360785769997165,
      "status": "complete",
      "metadata": {
        "source": "pypi",
        "source_url": "https://pypi.org/project/agent-audit-kit/0.3.26/",
        "report_type": "agent-audit-kit-sast",
        "files_scanned": 5,
        "install_command": "pip install --require-hashes -r docker/scanner-base/agent-audit-kit/requirements.txt",
        "rules_evaluated": 211,
        "severity_counts": {
          "low": 1,
          "high": 0,
          "medium": 1,
          "critical": 0,
          "informational": 0
        }
      },
      "display_score": 93.0,
      "display_badge": "Verified"
    },
    {
      "scanner_name": "bearer",
      "scanner_version": "2.0.2",
      "score": 100.0,
      "scanner_badge": "Verified",
      "findings": [],
      "execution_duration_seconds": 15.774417848995654,
      "status": "complete",
      "metadata": {
        "source": "github-releases",
        "source_url": "https://github.com/Bearer/bearer",
        "report_type": "security",
        "rules_loaded": 1,
        "install_command": "curl -sfL https://raw.githubusercontent.com/Bearer/bearer/main/contrib/install.sh | sh -s -- -b /usr/local/bin \"v2.0.2\""
      },
      "display_score": 100.0,
      "display_badge": "Verified"
    },
    {
      "scanner_name": "nerlo-behavioral",
      "scanner_version": "0.1.0",
      "score": 100.0,
      "scanner_badge": "Verified",
      "findings": [],
      "execution_duration_seconds": 49.31280155299464,
      "status": "complete",
      "metadata": {
        "source": "nerlo-original",
        "source_url": "https://github.com/nerlo-ai/nerlo",
        "report_type": "nerlo-behavioral",
        "ruleset_path": "/opt/nerlo-rules/exfiltration.yaml",
        "files_scanned": 1,
        "install_command": "pip install 'semgrep==1.97.0'"
      },
      "display_score": 100.0,
      "display_badge": "Verified"
    },
    {
      "scanner_name": "nerlo-install-instruction",
      "scanner_version": "0.1.0",
      "score": 59.0,
      "scanner_badge": "Unsafe",
      "findings": [
        {
          "tool_name": "nerlo-install-instruction",
          "severity": "high",
          "category": "install-instruction-exec",
          "file_path": "/repo/README.md",
          "line_number": 12,
          "rule_identifier": "opt.nerlo-rules.nerlo-install-pipe-to-shell",
          "title": "opt.nerlo-rules.nerlo-install-pipe-to-shell",
          "description": "Documentation instructs piping a downloaded artifact directly into a shell (curl/wget/iwr ... | bash/sh/iex). This is the curl-pipe-bash install shape used by the ClawHub skill droppers and countless malware loaders \u2014 the fetched payload is executed with zero inspection. Confirm this is expected; it is a strong weaponized-documentation signal.",
          "remediation": null
        }
      ],
      "execution_duration_seconds": 48.98635122002452,
      "status": "complete",
      "metadata": {
        "source": "nerlo-original",
        "source_url": "https://github.com/nerlo-ai/nerlo",
        "report_type": "nerlo-install-instruction",
        "ruleset_path": "/opt/nerlo-rules/install_instructions.yaml",
        "files_scanned": 2,
        "install_command": "pip install 'semgrep==1.97.0'",
        "severity_counts": {
          "low": 0,
          "high": 1,
          "medium": 0,
          "critical": 0,
          "informational": 0
        }
      },
      "display_score": 59.0,
      "display_badge": "Unsafe"
    },
    {
      "scanner_name": "trivy",
      "scanner_version": "0.71.0",
      "score": 100.0,
      "scanner_badge": "Verified",
      "findings": [],
      "execution_duration_seconds": 0.7510150079906452,
      "status": "complete",
      "metadata": {
        "source": "github-releases",
        "source_url": "https://github.com/aquasecurity/trivy/releases/tag/v0.71.0",
        "report_type": "filesystem-vulnerability",
        "install_command": "curl -sfL -o /tmp/trivy.deb https://github.com/aquasecurity/trivy/releases/download/v0.71.0/trivy_0.71.0_Linux-64bit.deb && echo '<sha256>  /tmp/trivy.deb' | sha256sum -c - && dpkg -i /tmp/trivy.deb",
        "manifests_scanned": []
      },
      "display_score": 100.0,
      "display_badge": "Verified"
    },
    {
      "scanner_name": "osv-scanner",
      "scanner_version": "2.3.8",
      "score": 25.0,
      "scanner_badge": "Unsafe",
      "findings": [
        {
          "tool_name": "osv-scanner",
          "severity": "high",
          "category": "PyPI",
          "file_path": "/repo/requirements.txt",
          "line_number": null,
          "rule_identifier": "PYSEC-2026-1616",
          "title": "PYSEC-2026-1616 \u2014 PyPI mcp@1.2.0",
          "description": "aliases: CVE-2025-53366, GHSA-3qhf-m339-9g5v, PYSEC-2026-1616 | CVSS: 8.7",
          "remediation": null
        },
        {
          "tool_name": "osv-scanner",
          "severity": "high",
          "category": "PyPI",
          "file_path": "/repo/requirements.txt",
          "line_number": null,
          "rule_identifier": "PYSEC-2026-1617",
          "title": "PYSEC-2026-1617 \u2014 PyPI mcp@1.2.0",
          "description": "aliases: CVE-2025-66416, GHSA-9h52-p55h-vw2f, PYSEC-2026-1617 | CVSS: 7.6",
          "remediation": null
        },
        {
          "tool_name": "osv-scanner",
          "severity": "high",
          "category": "PyPI",
          "file_path": "/repo/requirements.txt",
          "line_number": null,
          "rule_identifier": "PYSEC-2026-1618",
          "title": "PYSEC-2026-1618 \u2014 PyPI mcp@1.2.0",
          "description": "aliases: CVE-2025-53365, GHSA-j975-95f5-7wqh, PYSEC-2026-1618 | CVSS: 8.7",
          "remediation": null
        },
        {
          "tool_name": "osv-scanner",
          "severity": "high",
          "category": "PyPI",
          "file_path": "/repo/requirements.txt",
          "line_number": null,
          "rule_identifier": "GHSA-jpw9-pfvf-9f58",
          "title": "GHSA-jpw9-pfvf-9f58 \u2014 PyPI mcp@1.2.0",
          "description": "aliases: CVE-2026-52869, GHSA-jpw9-pfvf-9f58 | CVSS: 7.1",
          "remediation": null
        },
        {
          "tool_name": "osv-scanner",
          "severity": "high",
          "category": "PyPI",
          "file_path": "/repo/requirements.txt",
          "line_number": null,
          "rule_identifier": "GHSA-vj7q-gjh5-988w",
          "title": "GHSA-vj7q-gjh5-988w \u2014 PyPI mcp@1.2.0",
          "description": "aliases: CVE-2026-59950, GHSA-vj7q-gjh5-988w | CVSS: 7.6",
          "remediation": null
        }
      ],
      "execution_duration_seconds": 4.999163375003263,
      "status": "complete",
      "metadata": {
        "source": "github-releases",
        "source_url": "https://github.com/google/osv-scanner/releases/tag/v2.3.8",
        "report_type": "osv-vulnerability",
        "ecosystems_seen": [
          "PyPI"
        ],
        "install_command": "curl -sfL -o /usr/local/bin/osv-scanner https://github.com/google/osv-scanner/releases/download/v2.3.8/osv-scanner_linux_amd64 && echo '<sha256>  /usr/local/bin/osv-scanner' | sha256sum -c - && chmod +x /usr/local/bin/osv-scanner",
        "severity_counts": {
          "low": 0,
          "high": 5,
          "medium": 0,
          "critical": 0,
          "informational": 0
        },
        "manifests_scanned": [
          "/repo/requirements.txt"
        ],
        "finding_id_aliases": {
          "PYSEC-2026-1616": [
            "CVE-2025-53366",
            "GHSA-3qhf-m339-9g5v"
          ],
          "PYSEC-2026-1617": [
            "CVE-2025-66416",
            "GHSA-9h52-p55h-vw2f"
          ],
          "PYSEC-2026-1618": [
            "CVE-2025-53365",
            "GHSA-j975-95f5-7wqh"
          ],
          "GHSA-jpw9-pfvf-9f58": [
            "CVE-2026-52869"
          ],
          "GHSA-vj7q-gjh5-988w": [
            "CVE-2026-59950"
          ]
        },
        "cross_scanner_correlation": {
          "only_osv": [
            "GHSA-jpw9-pfvf-9f58",
            "GHSA-vj7q-gjh5-988w",
            "PYSEC-2026-1616",
            "PYSEC-2026-1617",
            "PYSEC-2026-1618"
          ],
          "only_trivy": [],
          "intersection_ids": []
        }
      },
      "display_score": 25.0,
      "display_badge": "Unsafe"
    }
  ],
  "threat_model": "Threat model synthesis has not yet run for this scan. This section is generated by the registry's LLM pipeline (Req 22.3) and will appear in the next regeneration of this report.",
  "audit_chain": {
    "scan_job_id": "90821765-13b7-4e9b-8b8b-03901e216dba",
    "scan_completed_at": "2026-07-21T04:26:14.382329+00:00",
    "scanner_versions": {
      "agentshield": "1.4.0",
      "cisco-skill-scanner": "2.0.11",
      "agent-audit-kit": "0.3.26",
      "bearer": "2.0.2",
      "nerlo-behavioral": "0.1.0",
      "nerlo-install-instruction": "0.1.0",
      "trivy": "0.71.0",
      "osv-scanner": "2.3.8"
    },
    "scanner_base_image": "us-central1-docker.pkg.dev/nerlo-vsk-prod/nerlo/scanner-base@sha256:fb6188f6b4eedc1748ddff43733dc2a67413a3288d8126eea8e575bf36d55814",
    "ai_decision_log_ids": [
      "1c163b27-4298-400e-a577-3396d703f146"
    ],
    "self_attestation_url": "http://localhost:8000/api/v1/registry/self-attestation"
  },
  "appendix": {
    "raw_scanner_reports": [
      {
        "scanner_name": "agentshield",
        "scanner_version": "1.4.0",
        "score": 100.0,
        "scanner_badge": "Verified",
        "findings": [],
        "execution_duration_seconds": 1.516644264018396,
        "status": "not_applicable",
        "metadata": {
          "source": "npm",
          "source_url": "https://www.npmjs.com/package/ecc-agentshield",
          "install_command": "npm install -g ecc-agentshield@1.4.0",
          "scans_performed": []
        },
        "display_score": null,
        "display_badge": "unavailable"
      },
      {
        "scanner_name": "cisco-skill-scanner",
        "scanner_version": "2.0.11",
        "score": 93.5,
        "scanner_badge": "Verified",
        "findings": [
          {
            "tool_name": "cisco-skill-scanner",
            "severity": "low",
            "category": "command_injection",
            "file_path": "/repo/README.md",
            "line_number": 1,
            "rule_identifier": "PIPELINE_TAINT_FLOW",
            "title": "Dangerous data flow in command pipeline",
            "description": "Pipeline downloads data from the network and executes it: `curl -LsSf https://astral.sh/uv/install.sh | sh`. This is a remote code execution pattern. (Note: uses a well-known installer URL - likely a standard installation command.)",
            "remediation": "Review the command pipeline. Avoid piping sensitive data to network commands or shell execution."
          },
          {
            "tool_name": "cisco-skill-scanner",
            "severity": "low",
            "category": "social_engineering",
            "file_path": "/repo/SKILL.md",
            "line_number": null,
            "rule_identifier": "SOCIAL_ENG_VAGUE_DESCRIPTION",
            "title": "Vague skill description",
            "description": "Skill description is too short (16 chars). Provide detailed explanation.",
            "remediation": "Provide a clear, detailed description of what the skill does and when to use it"
          },
          {
            "tool_name": "cisco-skill-scanner",
            "severity": "informational",
            "category": "policy_violation",
            "file_path": "/repo/SKILL.md",
            "line_number": null,
            "rule_identifier": "MANIFEST_MISSING_LICENSE",
            "title": "Skill does not specify a license",
            "description": "Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.",
            "remediation": "Add 'license' field to SKILL.md frontmatter (e.g., MIT, Apache-2.0)"
          },
          {
            "tool_name": "cisco-skill-scanner",
            "severity": "low",
            "category": "command_injection",
            "file_path": "/repo/SKILL.md",
            "line_number": 1,
            "rule_identifier": "PIPELINE_TAINT_FLOW",
            "title": "Dangerous data flow in command pipeline",
            "description": "Pipeline downloads data from the network and executes it: `curl -LsSf https://astral.sh/uv/install.sh | sh`. This is a remote code execution pattern. (Note: uses a well-known installer URL - likely a standard installation command.)",
            "remediation": "Review the command pipeline. Avoid piping sensitive data to network commands or shell execution."
          }
        ],
        "execution_duration_seconds": 40.70723793201614,
        "status": "complete",
        "metadata": {
          "source": "pypi",
          "source_url": "https://pypi.org/project/cisco-ai-skill-scanner/2.0.11/",
          "report_type": "cisco-skill-sast",
          "analyzers_used": [
            "bytecode",
            "pipeline",
            "static_analyzer"
          ],
          "skills_scanned": [
            "repo"
          ],
          "install_command": "pip install --require-hashes -r docker/scanner-base/cisco-skill-scanner/requirements.txt",
          "severity_counts": {
            "low": 3,
            "high": 0,
            "medium": 0,
            "critical": 0,
            "informational": 1
          }
        },
        "display_score": 93.5,
        "display_badge": "Verified"
      },
      {
        "scanner_name": "agent-audit-kit",
        "scanner_version": "0.3.26",
        "score": 93.0,
        "scanner_badge": "Verified",
        "findings": [
          {
            "tool_name": "agent-audit-kit",
            "severity": "medium",
            "category": "supply-chain",
            "file_path": "pyproject.toml",
            "line_number": null,
            "rule_identifier": "AAK-SUPPLY-004",
            "title": "No lockfile present",
            "description": "A package manifest exists but no lockfile was found. Without lockfiles, dependency versions float and can be silently updated.",
            "remediation": "Generate and commit lockfile."
          },
          {
            "tool_name": "agent-audit-kit",
            "severity": "low",
            "category": "supply-chain",
            "file_path": "SECURITY.md",
            "line_number": null,
            "rule_identifier": "AAK-SEC-MD-001",
            "title": "MCP server repo missing SECURITY.md or security_contact",
            "description": "A repository whose name or pyproject keywords declare it as an MCP server ships without a top-level SECURITY.md AND without a `security_contact` entry in marketplace.json / pyproject.toml / package.json. Anthropic's April 2026 SECURITY.md guidance makes this the baseline expectation so researchers have a channel.",
            "remediation": "Add SECURITY.md at the repo root with a disclosure email and response SLA; OR add `security_contact` to the project manifest."
          }
        ],
        "execution_duration_seconds": 10.360785769997165,
        "status": "complete",
        "metadata": {
          "source": "pypi",
          "source_url": "https://pypi.org/project/agent-audit-kit/0.3.26/",
          "report_type": "agent-audit-kit-sast",
          "files_scanned": 5,
          "install_command": "pip install --require-hashes -r docker/scanner-base/agent-audit-kit/requirements.txt",
          "rules_evaluated": 211,
          "severity_counts": {
            "low": 1,
            "high": 0,
            "medium": 1,
            "critical": 0,
            "informational": 0
          }
        },
        "display_score": 93.0,
        "display_badge": "Verified"
      },
      {
        "scanner_name": "bearer",
        "scanner_version": "2.0.2",
        "score": 100.0,
        "scanner_badge": "Verified",
        "findings": [],
        "execution_duration_seconds": 15.774417848995654,
        "status": "complete",
        "metadata": {
          "source": "github-releases",
          "source_url": "https://github.com/Bearer/bearer",
          "report_type": "security",
          "rules_loaded": 1,
          "install_command": "curl -sfL https://raw.githubusercontent.com/Bearer/bearer/main/contrib/install.sh | sh -s -- -b /usr/local/bin \"v2.0.2\""
        },
        "display_score": 100.0,
        "display_badge": "Verified"
      },
      {
        "scanner_name": "nerlo-behavioral",
        "scanner_version": "0.1.0",
        "score": 100.0,
        "scanner_badge": "Verified",
        "findings": [],
        "execution_duration_seconds": 49.31280155299464,
        "status": "complete",
        "metadata": {
          "source": "nerlo-original",
          "source_url": "https://github.com/nerlo-ai/nerlo",
          "report_type": "nerlo-behavioral",
          "ruleset_path": "/opt/nerlo-rules/exfiltration.yaml",
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        "display_badge": "Verified"
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      {
        "scanner_name": "nerlo-install-instruction",
        "scanner_version": "0.1.0",
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            "category": "install-instruction-exec",
            "file_path": "/repo/README.md",
            "line_number": 12,
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            "title": "opt.nerlo-rules.nerlo-install-pipe-to-shell",
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            "remediation": null
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        "metadata": {
          "source": "github-releases",
          "source_url": "https://github.com/aquasecurity/trivy/releases/tag/v0.71.0",
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          "install_command": "curl -sfL -o /tmp/trivy.deb https://github.com/aquasecurity/trivy/releases/download/v0.71.0/trivy_0.71.0_Linux-64bit.deb && echo '<sha256>  /tmp/trivy.deb' | sha256sum -c - && dpkg -i /tmp/trivy.deb",
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            "category": "PyPI",
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            "category": "PyPI",
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            "rule_identifier": "PYSEC-2026-1618",
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            "description": "aliases: CVE-2025-53365, GHSA-j975-95f5-7wqh, PYSEC-2026-1618 | CVSS: 8.7",
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            "tool_name": "osv-scanner",
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            "category": "PyPI",
            "file_path": "/repo/requirements.txt",
            "line_number": null,
            "rule_identifier": "GHSA-jpw9-pfvf-9f58",
            "title": "GHSA-jpw9-pfvf-9f58 \u2014 PyPI mcp@1.2.0",
            "description": "aliases: CVE-2026-52869, GHSA-jpw9-pfvf-9f58 | CVSS: 7.1",
            "remediation": null
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            "category": "PyPI",
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            "line_number": null,
            "rule_identifier": "GHSA-vj7q-gjh5-988w",
            "title": "GHSA-vj7q-gjh5-988w \u2014 PyPI mcp@1.2.0",
            "description": "aliases: CVE-2026-59950, GHSA-vj7q-gjh5-988w | CVSS: 7.6",
            "remediation": null
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            "critical": 0,
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          "manifests_scanned": [
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            ],
            "GHSA-jpw9-pfvf-9f58": [
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            ],
            "GHSA-vj7q-gjh5-988w": [
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          "cross_scanner_correlation": {
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        "display_score": 25.0,
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  "report": {
    "report_id": "39ae350f-db6f-4ac8-ad54-04a88bb9262c",
    "format": "json",
    "generated_at": "2026-07-21T22:43:50.520209+00:00",
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    "signature": null
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}