building-vulnerability-dashboard-with-defectdojo

building-vulnerability-dashboard-with-defectdojo is a skill for Claude Code, Codex from Youngmaidainon/Agent-Level-Up. It costs 77 tokens per session (2,039 once invoked), scanned A, a copy of building-vulnerability-dashboard-with-defectdojo, MIT.

A guide to deploying DefectDojo, an open-source application for collecting and managing vulnerability findings from security scanners. It combines results in one place, removes duplicates, and tracks remediation.

In plain words
What is it for?
It helps import findings, deduplicate them, monitor remediation, create dashboards, connect to CI/CD and Jira, and send Slack notifications.
Why use it?
It prevents scanner results from being scattered across tools and gives teams a shared view of open security issues and progress.

Skill for Claude CodeCodex

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

Good fit It helps import findings, deduplicate them, monitor remediation, create dashboards, connect to CI/CD and Jira, and send Slack notifications.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/youngmaidainon/agent-level-up/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 Youngmaidainon/Agent-Level-Up --skill building-vulnerability-dashboard-with-defectdojo
Clone the repo
git clone --depth 1 https://github.com/Youngmaidainon/Agent-Level-Up

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/youngmaidainon/agent-level-up/building-vulnerability-dashboard-with-defectdojo/github.svg)](https://agentmods.dev/skills/youngmaidainon/agent-level-up/building-vulnerability-dashboard-with-defectdojo)
Your own site
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/building-vulnerability-dashboard-with-defectdojo"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/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/youngmaidainon/agent-level-up/building-vulnerability-dashboard-with-defectdojo"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/building-vulnerability-dashboard-with-defectdojo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,039 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 86% 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 $0.00077 $0.02039
Opus 5 $0.00039 $0.01019
Sonnet 5 $0.00015 $0.00408
Haiku 4.5 $0.00008 $0.00204

Measured 7d ago against content hash 646bd6ad5cb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 7d 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

86% identical to building-vulnerability-dashboard-with-defectdojo — 3 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.

cyber-security/ctf/building-vulnerability-dashboard-with-defectdojo/SKILL.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 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.

When to Use

  • When deploying or configuring building vulnerability dashboard with defectdojo capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

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

Read the full file on GitHub · 252 lines

Files

What ships with it

6 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. 7d ago First seen · 252 lines · 77 tokens per session scan A 646bd6ad5cb4

Subscribe to this mod's changes

building-vulnerability-dashboard-with-defectdojo is a skill published in the GitHub repository Youngmaidainon/Agent-Level-Up (3 stars, last pushed 16d ago), licensed MIT. It adds 77 tokens to every session and 2,039 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to building-vulnerability-dashboard-with-defectdojo, differing in 3 lines, and is treated as a copy.

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