building-vulnerability-dashboard-with-defectdojo

building-vulnerability-dashboard-with-defectdojo is a skill for Claude Code, Codex from autohandai/community-skills. It costs 37 tokens per session (1,892 once invoked), scanned A, a copy of building-vulnerability-dashboard-with-defectdojo, Apache-2.0.

A deployment guide for DefectDojo, an open-source platform that collects security findings from different tools in one place and tracks their remediation.

In plain words
What is it for?
Use it to deploy DefectDojo with Docker, connect scanners and CI/CD pipelines, integrate Jira or Slack, automate through its API, and view security dashboards.
Why use it?
It reduces duplicate findings and gives security teams a central view of vulnerabilities, progress, metrics, and related tickets.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to deploy DefectDojo with Docker, connect scanners and CI/CD pipelines, integrate Jira or Slack, automate through its API, and view security dashboards.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/autohandai/community-skills/building-vulnerability-dashboard-with-defectdojo
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add autohandai/community-skills --skill building-vulnerability-dashboard-with-defectdojo
Clone the repo
git clone --depth 1 https://github.com/autohandai/community-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for building-vulnerability-dashboard-with-defectdojo

README.md
[![agentmods](https://agentmods.dev/badge/skills/autohandai/community-skills/building-vulnerability-dashboard-with-defectdojo/github.svg)](https://agentmods.dev/skills/autohandai/community-skills/building-vulnerability-dashboard-with-defectdojo)
Your own site
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-vulnerability-dashboard-with-defectdojo"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-vulnerability-dashboard-with-defectdojo/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for building-vulnerability-dashboard-with-defectdojo

Your own site · 80×15
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-vulnerability-dashboard-with-defectdojo"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-vulnerability-dashboard-with-defectdojo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,892 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01892
Opus 5 $0.00018 $0.00946
Sonnet 5 $0.00007 $0.00378
Haiku 4.5 $0.00004 $0.00189

Measured 9d ago against content hash 2510dae74d1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

building-vulnerability-dashboard-with-defectdojo scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/agent.py, scripts/process.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

resp = requests.post(f"{DD_URL}/product_types/", headers=HEADERS, json={
Origin

This is a copy

91% identical to building-vulnerability-dashboard-with-defectdojo — 31 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

building-vulnerability-dashboard-with-defectdojo/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building Vulnerability Dashboard with DefectDojo

Overview

DefectDojo is an open-source application vulnerability management platform that aggregates findings from 200+ security tools, deduplicates results, tracks remediation progress, and provides executive dashboards. It serves as a central hub for vulnerability management, integrating with CI/CD pipelines, Jira for ticketing, and Slack for notifications. DefectDojo supports OWASP-based categorization and provides REST API for automation.

Prerequisites

  • Docker and Docker Compose
  • 4GB+ RAM, 2+ CPU cores, 20GB+ disk
  • PostgreSQL 12+ (included in Docker deployment)
  • Python 3.9+ for API integration scripts
  • Jira instance (optional, for ticket integration)

Deployment

Docker Compose Deployment

# Clone DefectDojo repository
git clone https://github.com/DefectDojo/django-DefectDojo.git
cd django-DefectDojo

# Start with Docker Compose (production mode)
./dc-up-d.sh

# Alternative: manual Docker Compose
docker compose up -d

# Check service status
docker compose ps

# View initial admin credentials
docker compose logs initializer 2>&1 | grep "Admin password"

# Access DefectDojo at http://localhost:8080

Environment Configuration

# Key environment variables in docker-compose.yml
DD_DATABASE_ENGINE=django.db.backends.postgresql
DD_DATABASE_HOST=postgres
DD_DATABASE_PORT=5432
DD_DATABASE_NAME=defectdojo
DD_DATABASE_USER=defectdojo
DD_DATABASE_PASSWORD=<secure_password>
DD_ALLOWED_HOSTS=*
DD_SECRET_KEY=<random_64_char_key>
DD_CREDENTIAL_AES_256_KEY=<random_128_bit_key>
DD_SOCIAL_AUTH_GOOGLE_OAUTH2_ENABLED=True

Organizational Structure

Hierarchy

Product Type (Business Unit)
  └── Product (Application/Service)
       └── Engagement (Assessment/Sprint)
            └── Test (Scanner Run)
                 └── Finding (Individual Vulnerability)

Setup via API

import requests

DD_URL = "http://localhost:8080/api/v2"
API_KEY = "your_api_key_here"
HEADERS = {"Authorization": f"Token {API_KEY}", "Content-Type": "application/json"}

# Create Product Type
resp = requests.post(f"{DD_URL}/product_types/", headers=HEADERS, json={
    "name": "Web Applications",
    "description": "Customer-facing web application portfolio"
})
product_type_id = resp.json()["id"]

# Create Product
resp = requests.post(f"{DD_URL}/products/", headers=HEADERS, json={
    "name": "Customer Portal",
    "description": "Main customer-facing web application",
    "prod_type": product_type_id,
    "sla_configuration": 1,
})
product_id = resp.json()["id"]

# Create Engagement
resp = requests.post(f"{DD_URL}/engagements/", headers=HEADERS, json={
    "name": "Q1 2024 Security Assessment",
    "product": product_id,
    "target_start": "2024-01-01",
    "target_end": "2024-03-31",
    "engagement_type": "CI/CD",
    "status": "In Progress",
})
engagement_id = resp.json()["id"]

Read the full file on GitHub · 228 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 228 lines · 37 tokens per session scan A 2510dae74d1e

Subscribe to this mod's changes

building-vulnerability-dashboard-with-defectdojo is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 1,892 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 91% identical to building-vulnerability-dashboard-with-defectdojo, differing in 31 lines, and is treated as a copy.

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