Agent skill

phishing-simulation-skill

Phishing simulation campaign execution and analysis for security awareness assessment

View SKILL.md on GitHub Repository
Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/security-compliance/skills/phishing-simulation-skill

SKILL.md

Phishing Simulation Skill

Purpose

Execute and analyze phishing simulation campaigns to assess organizational security awareness, identify high-risk users, and measure the effectiveness of security training programs.

Capabilities

Campaign Template Generation

  • Create realistic phishing email templates
  • Design landing pages for credential harvesting simulations
  • Generate attachment-based simulation scenarios
  • Create spear-phishing templates using OSINT
  • Develop pretexting scenarios
  • Build multi-stage attack simulations

Campaign Execution

  • Schedule and launch simulation campaigns
  • Manage target user groups
  • Configure sending parameters (timing, throttling)
  • Handle bounce and delivery tracking
  • Implement safe landing pages
  • Manage campaign duration and scope

User Response Tracking

  • Track email open rates
  • Monitor link click rates
  • Record credential submission attempts
  • Track attachment opens
  • Measure response times
  • Identify repeat offenders

Awareness Reporting

  • Generate campaign summary reports
  • Create department-level breakdowns
  • Produce trend analysis over time
  • Compare against industry benchmarks
  • Generate executive dashboards
  • Export data for further analysis

Risk User Identification

  • Identify users who clicked links
  • Flag users who submitted credentials
  • Track repeat high-risk behavior
  • Score user security awareness
  • Prioritize users for additional training

Training Recommendations

  • Recommend targeted training modules
  • Suggest remedial training assignments
  • Track training completion rates
  • Correlate training with behavior improvement
  • Generate training effectiveness reports

Simulation Types

Type Description Risk Level
Mass Phishing Broad awareness testing Low
Spear Phishing Targeted attacks Medium
Whaling Executive targeting High
Vishing Voice phishing Medium
Smishing SMS phishing Medium
BEC Business email compromise High

Template Categories

  • Password reset notifications
  • IT support messages
  • Package delivery notifications
  • Invoice/payment requests
  • HR communications
  • Executive requests
  • Cloud service notifications
  • Social media alerts

Integrations

  • KnowBe4: Security awareness training platform
  • Proofpoint: Security awareness and phishing simulation
  • GoPhish: Open-source phishing framework
  • Cofense: Phishing defense solutions
  • Microsoft Defender: Attack simulation training

Target Processes

  • Security Awareness Training Program
  • Human Risk Assessment
  • Social Engineering Testing
  • Compliance Training Verification

Input Schema

json
{
  "type": "object",
  "properties": {
    "campaignType": {
      "type": "string",
      "enum": ["mass", "spear", "whaling", "department", "new-hire"],
      "description": "Type of phishing simulation"
    },
    "templateCategory": {
      "type": "string",
      "enum": ["password-reset", "it-support", "delivery", "invoice", "hr", "executive", "cloud-service"],
      "description": "Phishing template category"
    },
    "targetGroups": {
      "type": "array",
      "items": { "type": "string" },
      "description": "Target user groups or departments"
    },
    "schedule": {
      "type": "object",
      "properties": {
        "startDate": { "type": "string", "format": "date-time" },
        "endDate": { "type": "string", "format": "date-time" },
        "sendingWindow": { "type": "string" }
      }
    },
    "difficulty": {
      "type": "string",
      "enum": ["easy", "medium", "hard", "expert"],
      "description": "Simulation difficulty level"
    },
    "landingPageAction": {
      "type": "string",
      "enum": ["awareness", "training-redirect", "credential-capture"],
      "description": "Action when user clicks link"
    },
    "customTemplate": {
      "type": "string",
      "description": "Path to custom template file"
    }
  },
  "required": ["campaignType", "targetGroups"]
}

Output Schema

json
{
  "type": "object",
  "properties": {
    "campaignId": {
      "type": "string"
    },
    "campaignType": {
      "type": "string"
    },
    "executionPeriod": {
      "type": "object",
      "properties": {
        "startDate": { "type": "string" },
        "endDate": { "type": "string" }
      }
    },
    "targetSummary": {
      "type": "object",
      "properties": {
        "totalTargets": { "type": "integer" },
        "emailsSent": { "type": "integer" },
        "emailsDelivered": { "type": "integer" },
        "bounced": { "type": "integer" }
      }
    },
    "results": {
      "type": "object",
      "properties": {
        "emailsOpened": { "type": "integer" },
        "openRate": { "type": "number" },
        "linksClicked": { "type": "integer" },
        "clickRate": { "type": "number" },
        "credentialsSubmitted": { "type": "integer" },
        "submissionRate": { "type": "number" },
        "attachmentsOpened": { "type": "integer" },
        "reportedPhishing": { "type": "integer" },
        "reportRate": { "type": "number" }
      }
    },
    "departmentBreakdown": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "department": { "type": "string" },
          "clickRate": { "type": "number" },
          "riskScore": { "type": "number" }
        }
      }
    },
    "highRiskUsers": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "userId": { "type": "string" },
          "actions": { "type": "array" },
          "repeatOffender": { "type": "boolean" }
        }
      }
    },
    "trainingRecommendations": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "userGroup": { "type": "string" },
          "recommendedModules": { "type": "array" },
          "priority": { "type": "string" }
        }
      }
    },
    "benchmarkComparison": {
      "type": "object",
      "properties": {
        "industryAvgClickRate": { "type": "number" },
        "organizationClickRate": { "type": "number" },
        "performanceRating": { "type": "string" }
      }
    }
  }
}

Usage Example

javascript
skill: {
  name: 'phishing-simulation-skill',
  context: {
    campaignType: 'mass',
    templateCategory: 'password-reset',
    targetGroups: ['all-employees'],
    difficulty: 'medium',
    landingPageAction: 'awareness'
  }
}

Recommended Agent Skills

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results