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SKILL verified Apache-2.0 Self-run

Data Quality

skill-happy-technologies-llc-happy-platform-skills-data-quality · by Happy-Technologies-LLC

CMDB data quality management including KPIs, duplicate detection, stale records, and reconciliation

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$ agentstack add skill-happy-technologies-llc-happy-platform-skills-data-quality

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

CMDB Data Quality Management

Overview

A CMDB is only as valuable as its data quality. Poor data leads to failed changes, incorrect impact analysis, and loss of trust. This skill covers:

  • Measuring data quality KPIs (completeness, accuracy, consistency)
  • Detecting and resolving duplicate CIs
  • Identifying and managing stale/orphan records
  • Implementing reconciliation processes
  • Establishing ongoing data governance

When to use: During CMDB health assessments, before major changes, as part of regular maintenance, or when CMDB trust is low.

Value proposition: High-quality CMDB data can reduce change failure rates by 50%, decrease incident resolution time by 30%, and improve audit compliance.

Prerequisites

  • Roles: cmdb_admin for full access, itil for read-only assessment
  • Access: cmdbci, cmdbrelci, sysaudit tables
  • Knowledge: CMDB structure, identification rules
  • Related skills: cmdb/ci-discovery, cmdb/relationship-mapping

Data Quality Dimensions

| Dimension | Definition | Target | Measurement | |-----------|------------|--------|-------------| | Completeness | Required fields populated | >95% | % records with all mandatory fields | | Accuracy | Data matches reality | >90% | % verified against authoritative source | | Consistency | No conflicting data | >98% | % records without conflicts | | Timeliness | Data is current | 99% | % unique records | | Validity | Values within allowed ranges | >99% | % passing validation rules |

Procedure

Step 1: Assess Completeness

Completeness measures whether required fields are populated.

Define mandatory fields by CI class:

| CI Class | Mandatory Fields | |----------|------------------| | cmdbciserver | name, ipaddress, os, operationalstatus, supportgroup | | cmdbciappl | name, version, operationalstatus, supportgroup, installstatus | | cmdbciservice | name, operationalstatus, businesscriticality, ownedby | | cmdbcidatabase | name, type, version, operationalstatus |

Check completeness for servers:

Tool: SN-Query-Table
Parameters:
  table_name: cmdb_ci_server
  query: operational_status=1^nameISEMPTY^ORip_addressISEMPTY^ORsupport_groupISEMPTY
  fields: sys_id,name,ip_address,support_group
  limit: 100

Comprehensive completeness audit:

Tool: SN-Execute-Background-Script
Parameters:
  description: CMDB Completeness Audit
  script: |
    var mandatoryFields = {
      'cmdb_ci_server': ['name', 'ip_address', 'os', 'operational_status', 'support_group'],
      'cmdb_ci_appl': ['name', 'version', 'operational_status', 'support_group'],
      'cmdb_ci_service': ['name', 'operational_status', 'business_criticality', 'owned_by'],
      'cmdb_ci_database_instance': ['name', 'type', 'version', 'operational_status']
    };

    var results = {};

    for (var ciClass in mandatoryFields) {
      var fields = mandatoryFields[ciClass];
      var total = 0;
      var complete = 0;
      var incomplete = [];

      var gr = new GlideRecord(ciClass);
      gr.addQuery('operational_status', '1'); // Only operational CIs
      gr.query();

      while (gr.next()) {
        total++;
        var isComplete = true;
        var missingFields = [];

        for (var i = 0; i  0 ? Math.round((complete / total) * 100) : 100,
        incomplete: incomplete.slice(0, 10) // First 10 examples
      };
    }

    gs.info('=== COMPLETENESS AUDIT RESULTS ===');
    for (var cls in results) {
      var r = results[cls];
      gs.info(cls + ': ' + r.completeness + '% complete (' + r.complete + '/' + r.total + ')');
      if (r.incomplete.length > 0) {
        gs.info('  Examples of incomplete records:');
        r.incomplete.forEach(function(inc) {
          gs.info('    ' + inc.name + ' - Missing: ' + inc.missing.join(', '));
        });
      }
    }

Step 2: Detect Duplicates

Duplicates undermine CMDB trust and cause confusion.

Find potential duplicates by name:

Tool: SN-Execute-Background-Script
Parameters:
  description: Find duplicate CIs by name
  script: |
    var duplicates = new GlideAggregate('cmdb_ci');
    duplicates.addQuery('operational_status', '1');
    duplicates.addAggregate('COUNT');
    duplicates.groupBy('name');
    duplicates.addHaving('COUNT', '>', 1);
    duplicates.orderByAggregate('COUNT', 'DESC');
    duplicates.query();

    gs.info('=== DUPLICATE CI NAMES ===');
    var count = 0;
    while (duplicates.next() && count ', 1);
    duplicates.query();

    gs.info('=== DUPLICATE IP ADDRESSES ===');
    while (duplicates.next()) {
      var ip = duplicates.ip_address.toString();
      var count = duplicates.getAggregate('COUNT');
      gs.info('IP: ' + ip + ' - Count: ' + count);

      var details = new GlideRecord('cmdb_ci_computer');
      details.addQuery('ip_address', ip);
      details.addQuery('operational_status', '1');
      details.query();
      while (details.next()) {
        gs.info('  ' + details.name + ' (' + details.sys_class_name + ')');
      }
    }

Find duplicates by serial number:

Tool: SN-Query-Table
Parameters:
  table_name: cmdb_ci_hardware
  query: serial_numberISNOTEMPTY^operational_status=1
  fields: serial_number,name,sys_class_name,sys_id

Then analyze for duplicates:

Tool: SN-Execute-Background-Script
Parameters:
  description: Find duplicate serial numbers
  script: |
    var duplicates = new GlideAggregate('cmdb_ci_hardware');
    duplicates.addQuery('operational_status', '1');
    duplicates.addNotNullQuery('serial_number');
    duplicates.addAggregate('COUNT');
    duplicates.groupBy('serial_number');
    duplicates.addHaving('COUNT', '>', 1);
    duplicates.query();

    gs.info('=== DUPLICATE SERIAL NUMBERS ===');
    gs.info('Found: ' + duplicates.getRowCount() + ' duplicate serial numbers');
    while (duplicates.next()) {
      gs.info('Serial: ' + duplicates.serial_number + ' Count: ' + duplicates.getAggregate('COUNT'));
    }

Step 3: Identify Stale Records

Stale records haven't been updated within acceptable timeframes.

Define staleness thresholds:

| CI Type | Staleness Threshold | Rationale | |---------|---------------------|-----------| | Servers | 30 days | Should be scanned regularly | | Applications | 60 days | Less dynamic than infrastructure | | Services | 90 days | Business services change slowly | | Network | 14 days | Network scans are frequent |

Find stale server records:

Tool: SN-Query-Table
Parameters:
  table_name: cmdb_ci_server
  query: operational_status=1^sys_updated_on 0 ? Math.round(((total - staleCount) / total) * 100) : 100
      };

      // Sample stale records
      var samples = [];
      stale.setLimit(5);
      stale.query();
      while (stale.next()) {
        samples.push({
          name: stale.name.toString(),
          last_updated: stale.sys_updated_on.getDisplayValue()
        });
      }
      results[ciClass].samples = samples;
    }

    gs.info('=== STALENESS AUDIT RESULTS ===');
    for (var cls in results) {
      var r = results[cls];
      gs.info(cls + ': ' + r.freshness + '% fresh (' + r.stale + ' stale of ' + r.total + ', threshold: ' + r.threshold + ' days)');
      if (r.samples.length > 0) {
        r.samples.forEach(function(s) {
          gs.info('  Stale: ' + s.name + ' (last updated: ' + s.last_updated + ')');
        });
      }
    }

Step 4: Check Relationship Health

Relationships are a key quality dimension.

Find orphan CIs (no relationships):

Tool: SN-Execute-Background-Script
Parameters:
  description: Find CIs with no relationships
  script: |
    var ciClasses = ['cmdb_ci_server', 'cmdb_ci_appl', 'cmdb_ci_database_instance'];
    var orphans = {};

    ciClasses.forEach(function(ciClass) {
      orphans[ciClass] = [];

      var gr = new GlideRecord(ciClass);
      gr.addQuery('operational_status', '1');
      gr.query();

      while (gr.next()) {
        var hasRel = new GlideRecord('cmdb_rel_ci');
        hasRel.addQuery('parent', gr.sys_id);
        hasRel.addOrCondition('child', gr.sys_id);
        hasRel.setLimit(1);
        hasRel.query();

        if (!hasRel.hasNext()) {
          orphans[ciClass].push({
            sys_id: gr.sys_id.toString(),
            name: gr.name.toString()
          });
        }
      }
    });

    gs.info('=== ORPHAN CI REPORT ===');
    for (var cls in orphans) {
      gs.info(cls + ': ' + orphans[cls].length + ' orphans');
      orphans[cls].slice(0, 5).forEach(function(o) {
        gs.info('  ' + o.name + ' (' + o.sys_id + ')');
      });
    }

Find invalid relationships:

Tool: SN-Query-Table
Parameters:
  table_name: cmdb_rel_ci
  query: parent.operational_status!=1^ORchild.operational_status!=1
  fields: parent.name,child.name,parent.operational_status,child.operational_status
  limit: 50

Step 5: Validate Data Accuracy

Compare CMDB data against authoritative sources.

Validate against discovery data:

Tool: SN-Execute-Background-Script
Parameters:
  description: Compare CMDB to discovery data
  script: |
    // Find CIs where CMDB data differs from discovery
    var mismatches = [];

    var gr = new GlideRecord('cmdb_ci_server');
    gr.addQuery('operational_status', '1');
    gr.addNotNullQuery('discovery_source');
    gr.query();

    while (gr.next()) {
      var issues = [];

      // Check if last discovery was recent
      if (gr.last_discovered) {
        var lastDisc = new GlideDateTime(gr.last_discovered);
        var now = new GlideDateTime();
        var daysSince = gs.dateDiff(lastDisc, now, true) / (24 * 60 * 60 * 1000);

        if (daysSince > 30) {
          issues.push('Not discovered in ' + Math.round(daysSince) + ' days');
        }
      }

      // Check for empty critical fields that discovery should populate
      if (!gr.os || gr.os.toString() === '') {
        issues.push('OS not set');
      }
      if (!gr.cpu_count || gr.cpu_count.toString() === '0') {
        issues.push('CPU count not set');
      }
      if (!gr.ram || gr.ram.toString() === '0') {
        issues.push('RAM not set');
      }

      if (issues.length > 0) {
        mismatches.push({
          name: gr.name.toString(),
          sys_id: gr.sys_id.toString(),
          issues: issues
        });
      }
    }

    gs.info('=== ACCURACY VALIDATION ===');
    gs.info('CIs with potential accuracy issues: ' + mismatches.length);
    mismatches.slice(0, 20).forEach(function(m) {
      gs.info('  ' + m.name + ': ' + m.issues.join(', '));
    });

Step 6: Generate Data Quality Dashboard

Create a comprehensive quality score:

Tool: SN-Execute-Background-Script
Parameters:
  description: Generate CMDB Data Quality Score
  script: |
    var dashboard = {
      generatedAt: new GlideDateTime().getDisplayValue(),
      totalCIs: 0,
      operationalCIs: 0,
      scores: {
        completeness: 0,
        uniqueness: 0,
        freshness: 0,
        relationships: 0
      },
      overallScore: 0,
      grade: '',
      topIssues: []
    };

    // Count total CIs
    var totalGr = new GlideAggregate('cmdb_ci');
    totalGr.addAggregate('COUNT');
    totalGr.query();
    if (totalGr.next()) {
      dashboard.totalCIs = parseInt(totalGr.getAggregate('COUNT'));
    }

    // Count operational CIs
    var opGr = new GlideAggregate('cmdb_ci');
    opGr.addQuery('operational_status', '1');
    opGr.addAggregate('COUNT');
    opGr.query();
    if (opGr.next()) {
      dashboard.operationalCIs = parseInt(opGr.getAggregate('COUNT'));
    }

    // Completeness Score (check name and class are set)
    var completeGr = new GlideAggregate('cmdb_ci');
    completeGr.addQuery('operational_status', '1');
    completeGr.addNotNullQuery('name');
    completeGr.addNotNullQuery('sys_class_name');
    completeGr.addAggregate('COUNT');
    completeGr.query();
    if (completeGr.next()) {
      var complete = parseInt(completeGr.getAggregate('COUNT'));
      dashboard.scores.completeness = Math.round((complete / dashboard.operationalCIs) * 100);
    }

    // Uniqueness Score (inverse of duplicate rate)
    var dupGr = new GlideAggregate('cmdb_ci');
    dupGr.addQuery('operational_status', '1');
    dupGr.addAggregate('COUNT');
    dupGr.groupBy('name');
    dupGr.addHaving('COUNT', '>', 1);
    dupGr.query();
    var dupGroups = dupGr.getRowCount();
    dashboard.scores.uniqueness = Math.max(0, 100 - Math.round((dupGroups / dashboard.operationalCIs) * 100 * 10));

    // Freshness Score (updated in last 30 days)
    var cutoff = new GlideDateTime();
    cutoff.addDays(-30);
    var freshGr = new GlideAggregate('cmdb_ci');
    freshGr.addQuery('operational_status', '1');
    freshGr.addQuery('sys_updated_on', '>', cutoff);
    freshGr.addAggregate('COUNT');
    freshGr.query();
    if (freshGr.next()) {
      var fresh = parseInt(freshGr.getAggregate('COUNT'));
      dashboard.scores.freshness = Math.round((fresh / dashboard.operationalCIs) * 100);
    }

    // Relationship Score (CIs with at least one relationship)
    var withRelGr = new GlideAggregate('cmdb_rel_ci');
    withRelGr.addAggregate('COUNT', 'DISTINCT', 'parent');
    withRelGr.query();
    var withRel = 0;
    if (withRelGr.next()) {
      withRel = parseInt(withRelGr.getAggregate('COUNT', 'DISTINCT', 'parent'));
    }
    dashboard.scores.relationships = Math.min(100, Math.round((withRel / dashboard.operationalCIs) * 100));

    // Overall Score (weighted average)
    dashboard.overallScore = Math.round(
      (dashboard.scores.completeness * 0.3) +
      (dashboard.scores.uniqueness * 0.25) +
      (dashboard.scores.freshness * 0.25) +
      (dashboard.scores.relationships * 0.2)
    );

    // Grade
    if (dashboard.overallScore >= 90) dashboard.grade = 'A';
    else if (dashboard.overallScore >= 80) dashboard.grade = 'B';
    else if (dashboard.overallScore >= 70) dashboard.grade = 'C';
    else if (dashboard.overallScore >= 60) dashboard.grade = 'D';
    else dashboard.grade = 'F';

    // Top Issues
    if (dashboard.scores.completeness  0) {
      gs.info('Top Issues to Address:');
      dashboard.topIssues.forEach(function(issue) {
        gs.info('  - ' + issue);
      });
    }

Step 7: Remediate Issues

Fix incomplete records:

Tool: SN-Update-Record
Parameters:
  table_name: cmdb_ci_server
  sys_id: [ci_sys_id]
  data:
    support_group: [group_sys_id]
    os: "Red Hat Enterprise Linux 8"
    operational_status: 1

Merge duplicate records:

Tool: SN-Execute-Background-Script
Parameters:
  description: Merge duplicate CIs (keep newer, retire older)
  script: |
    var keepSysId = 'NEWER_CI_SYS_ID';
    var retireSysId = 'OLDER_CI_SYS_ID';

    // Move relationships from retired CI to kept CI
    var rels = new GlideRecord('cmdb_rel_ci');
    rels.addQuery('parent', retireSysId);
    rels.query();
    while (rels.next()) {
      rels.parent = keepSysId;
      rels.update();
    }

    rels = new GlideRecord('cmdb_rel_ci');
    rels.addQuery('child', retireSysId);
    rels.query();
    while (rels.next()) {
      rels.child = keepSysId;
      rels.update();
    }

    // Retire the duplicate
    var retireCi = new GlideRecord('cmdb_ci');
    if (retireCi.get(retireSysId)) {
      retireCi.operational_status = 6; // Retired
      retireCi.install_status = 7; // Retired
      retireCi.comments = 'Merged into ' + keepSysId + ' on ' + new GlideDateTime().getDisplayValue();
      retireCi.update();
      gs.info('Retired duplicate CI: ' + retireCi.name);
    }

Retire stale records:

Tool: SN-Update-Record
Parameters:
  table_name: cmdb_ci_server
  sys_id: [stale_ci_sys_id]
  data:
    operational_status: 6
    install_status: 7
    comments: "Retired due to staleness - not discovered in 90+ days"

Tool Usage Summary

| Operation | MCP Tool | REST Endpoint | |-----------|----------|---------------| | Query CIs | SN-Query-Table, SN-List-CmdbCis | GET /cmdb_ci | | Update CI | SN-Update-Record |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.