container-security-scanner
Container image and Kubernetes security scanning for CVEs, misconfigurations, and compliance
What this skill does
# Container Security Scanner Skill
## Purpose
Automated container image and Kubernetes security scanning to identify vulnerabilities, misconfigurations, secrets, and compliance issues in containerized environments.
## Capabilities
### Image Vulnerability Scanning
- Scan container images for known CVEs using Trivy, Grype, or Anchore
- Detect vulnerabilities in OS packages and application dependencies
- Generate SBOM (Software Bill of Materials) in CycloneDX or SPDX format
- Track vulnerability severity (Critical, High, Medium, Low)
### Dockerfile Security Analysis
- Check Dockerfile best practices and security issues
- Identify privileged container configurations
- Detect hardcoded secrets in Dockerfiles
- Verify base image security and freshness
### Kubernetes Security Scanning
- Run Kubernetes CIS benchmark checks using kube-bench
- Analyze pod security policies and standards
- Check RBAC configurations for over-permissive access
- Detect insecure network policies
### Secrets Detection
- Scan images for embedded secrets and credentials
- Identify API keys, tokens, and passwords in layers
- Check environment variable configurations
### Image Signature Verification
- Verify container image signatures using cosign
- Validate image provenance and attestations
- Check image registry security configurations
### Compliance Reporting
- Generate compliance reports (CIS, NIST, PCI-DSS)
- Map findings to compliance controls
- Track remediation status and timelines
## Integrations
- **Trivy**: Comprehensive vulnerability scanner for containers
- **Grype**: Container image vulnerability scanner
- **Syft**: SBOM generation tool
- **kube-bench**: Kubernetes CIS benchmark checker
- **Falco**: Runtime security monitoring
- **Anchore**: Enterprise container security platform
- **cosign**: Container image signing and verification
## Target Processes
- Container Security Scanning Process
- DevSecOps Pipeline Integration
- IaC Security Scanning
- Kubernetes Security Hardening
- Container Image Build Pipeline
## Input Schema
```json
{
"type": "object",
"properties": {
"imageName": {
"type": "string",
"description": "Container image name with tag"
},
"registry": {
"type": "string",
"description": "Container registry URL"
},
"dockerfilePath": {
"type": "string",
"description": "Path to Dockerfile for static analysis"
},
"kubeManifestPath": {
"type": "string",
"description": "Path to Kubernetes manifests"
},
"scanType": {
"type": "array",
"items": {
"type": "string",
"enum": ["vulnerability", "config", "secrets", "compliance", "sbom"]
}
},
"severityThreshold": {
"type": "string",
"enum": ["CRITICAL", "HIGH", "MEDIUM", "LOW"]
}
},
"required": ["imageName"]
}
```
## Output Schema
```json
{
"type": "object",
"properties": {
"scanId": {
"type": "string"
},
"imageName": {
"type": "string"
},
"scanTimestamp": {
"type": "string",
"format": "date-time"
},
"vulnerabilities": {
"type": "object",
"properties": {
"critical": { "type": "integer" },
"high": { "type": "integer" },
"medium": { "type": "integer" },
"low": { "type": "integer" },
"findings": {
"type": "array",
"items": {
"type": "object",
"properties": {
"cveId": { "type": "string" },
"severity": { "type": "string" },
"package": { "type": "string" },
"fixedVersion": { "type": "string" },
"description": { "type": "string" }
}
}
}
}
},
"misconfigurations": {
"type": "array"
},
"secrets": {
"type": "array"
},
"complianceStatus": {
"type": "object"
},
"recommendations": {
"type": "array",
"items": { "type": "string" }
}
}
}
```
## Usage Example
```javascript
skill: {
name: 'container-security-scanner',
context: {
imageName: 'myapp:v1.2.3',
registry: 'registry.example.com',
scanType: ['vulnerability', 'config', 'secrets'],
severityThreshold: 'HIGH'
}
}
```
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.