Engineering SecurityComplianceSecOps

Senior SecOps

Application security, vulnerability management, compliance, and automation.

$skillfish add ~skills/senior-secops

Real Conversations

See how the Senior SecOps skill responds to actual requests. These are representative examples of what your AI agent will produce.

You

We push to prod 10x/day and have no automated security scanning. Node.js and Python services. Want to fail CI on critical CVEs and get Slack alerts.

Agent

Automated Vulnerability Scanning Pipeline:

GitHub Actions workflow:

name: Security Scan
on: [push, pull_request]

jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      # Node.js — npm audit
      - name: npm audit
        run: npm audit --audit-level=critical
        continue-on-error: false  # fail CI on critical

      # Python — safety + pip-audit  
      - name: pip-audit
        run: |
          pip install pip-audit
          pip-audit --requirement requirements.txt --severity CRITICAL --fail-on CRITICAL

      # Container images — Trivy
      - name: Trivy image scan
        uses: aquasecurity/trivy-action@master
        with:
          image-ref: ${{ env.IMAGE_TAG }}
          severity: 'CRITICAL,HIGH'
          exit-code: '1'
          format: 'sarif'
          output: 'trivy.sarif'

      - name: Upload SARIF to GitHub Security tab
        uses: github/codeql-action/upload-sarif@v3
        with:
          sarif_file: 'trivy.sarif'

Slack alert on failure:

      - name: Notify Slack on critical vuln
        if: failure()
        uses: slackapi/slack-github-action@v1
        with:
          payload: '{"text":"CRITICAL vulnerability found in ${{ github.repository }} — ${{ github.sha }} — check Security tab"}'
        env:
          SLACK_WEBHOOK_URL: ${{ secrets.SLACK_SECURITY_WEBHOOK }}

Policy decision — don't block on HIGH initially: Start with --audit-level=critical only. Add HIGH after you've cleared the existing backlog, or you'll have 200 blocking failures on day one.

Get Started

How to install and use this skill in your preferred environment.

Skills are designed for AI coding agents (Claude Code, Cursor, Windsurf) and IDE-based workflows where the agent can read files, run scripts, and act on your codebase. Web-based AI can use the knowledge and frameworks, but won't have tool access.

Models & Context

Which AI models and context windows work best with this skill.

Recommended Models

Best
Claude Opus 4 Claude Sonnet 4 GPT-4.1 Gemini 2.5 Pro Grok 3 Kimi K2
Good
Claude Haiku 4.5 GPT-4.1 mini Gemini 2.5 Flash Grok 3 mini

Larger models produce more detailed, production-ready outputs.

Context Window

This skill's SKILL.md is typically 3–10 KB — fits in any modern context window.

8K Skill only
32K+ Skill + conversation
100K+ Skill + references + codebase

All current frontier models (Claude, GPT, Gemini) support 100K+ context. Use the full window for complex multi-service work.

Pro tips for best results

1

Be specific

Include numbers — users, budget, RPS — so the skill can size the architecture.

2

Share constraints

Compliance needs, team size, and existing stack all improve the output.

3

Iterate

Start with a high-level design, then ask follow-ups for IaC, cost analysis, or security review.

4

Combine skills

Pair with companion skills below for end-to-end coverage.

Ready to try Senior SecOps?

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