--- name: phishing-simulation-skill-6c91b9b3e30a description: Phishing simulation campaign execution and analysis for security awareness assessment allowed-tools: - Bash - Read - Write - Glob - Grep - WebFetch graph: domains: [domain:security] specializations: [specialization:security-compliance] skillAreas: [skill-area:security-testing, skill-area:identity-security] roles: [role:security-engineer, role:compliance-officer] workflows: [workflow:security-audit] --- # 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' } } ``` --- Source attribution: a5c-ai Original project: https://github.com/a5c-ai/babysitter License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License Copyright (c) 2026 Gabriel Moreira Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: a5c-ai Original project: https://github.com/a5c-ai/babysitter Attribution basis: Upstream repository explicitly recorded in package mirror path Fields of work: Development & Engineering, Marketing, Sales Roles: Customer Success Manager, PR & Communications, Security Engineer Specialties: Specialty not specified Tools: Cofense, Gophish, Knowbe4, Proofpoint, Microsoft Defender Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 248ddecd09dfcabdcd92fd580e9d9bb1a4faf731621759ca29872fa947cf3a3b