dng

DraftNGoal community node pack for n8n: ships only DNG Submit Level + DNG Scoring Webhook credential. Candidates build exam workflows with native n8n nodes and submit to the official cloud scorer.

Documentation

n8n-nodes-dng

CI
npm
License: MIT

Official n8n community node pack for the DraftNGoal
exam. Install it in your own n8n, build a workflow with native n8n nodes on the canvas, and submit it
to the official scoring webhook hosted on the DraftNGoal n8n cloud — your score
and detailed feedback come back as the node's output.

The pack ships:

  • DNG Submit Level — submits your workflow graph (node type, parameters, connections) to the scorer.
  • DNG Scoring Webhook credential — URL, cohort shared secret, personal exam token.
  • A sanitized challenge catalogue (challenges/):
    description, suggested node types (available_node_types), time limit, sanitized step blueprint. The
    reference solutions and grading rubrics are never shipped with this
    package.

v3.x expects native n8n node types in submissions. Upgrade to n8n-nodes-dng ≥ 3.0.0 so the cloud accepts your runs.

Quick start (Docker)

git clone https://github.com/voltek62/n8n-nodes-dng.git
cd n8n-nodes-dng

# 1. Build the community node pack (DNG Submit Level + credential)
(cd nodes-dng && npm install && npm run build)

# 2. Boot a local n8n that auto-loads the pack
docker compose up -d

# 3. Open n8n and finish the owner setup
open http://localhost:5678

Wire your candidate workflow

  1. In n8n → Credentials → + New → search DNG Scoring Webhook, then fill:

    • Webhook URL: keep the default https://draftngoal.app.n8n.cloud/webhook/dng-score.
    • Shared secret: cohort secret — sent to you by email after you sign up at https://dng.ai.
    • Exam token (per candidate): personal token — also sent by email.
  2. Create a workflow using standard n8n nodes:

    Manual Trigger (or Webhook)
        └── Your native n8n nodes …
               └── DNG Submit Level
    
  3. In DNG Submit Level, pick a challenge from the dropdown, fill your name
    and email, then Execute workflow.

  4. The node returns the JSON response from the cloud:

    {
      "ok": true,
      "audit_id": "…",
      "challenge_id": "quick-summarize",
      "overall_score": 92.5,
      "passed": true,
      "criteria_scores": [ … ],
      "step_results": [ … ],
      "grading_decisions": [ … ]
    }
    

    The same payload is also emailed to DraftNGoal admins for audit.

Available challenges

The candidate-facing catalogue is in challenges/index.json.
Browse the per-challenge description and step blueprint in
challenges/<id>.json — the reference
solution is not in those files. It lives only on the DraftNGoal cloud.

id difficulty duration
quick-summarize Easy 10 min
lead-routing Intermediate 20 min
research-agent Expert 45 min

Install via the n8n Community Nodes UI (alternative)

If you run n8n cloud or a self-hosted n8n that allows community nodes:

  1. Settings → Community nodes → Install → enter n8n-nodes-dng.
  2. Confirm the install. DNG Submit Level appears after reload.
  3. Configure the DNG Scoring Webhook credential (same fields as above).

Repository layout

.
├── nodes-dng/             # the published npm package (n8n-nodes-dng)
│   ├── nodes/             # DNG Submit Level only
│   ├── credentials/       # DNG Scoring Webhook credential type
│   ├── challenges/        # sanitized public catalogue (no answers)
│   └── scripts/           # challenge sanitizer
├── docker-compose.yml     # local n8n for candidates
├── .github/               # CI, release, dependabot, issue templates
├── LICENSE                # MIT
├── SECURITY.md
└── CODE_OF_CONDUCT.md

The server/ directory used by the maintainer (full challenges + scoring
workflow + auth wrapper) is gitignored and never published. Only DraftNGoal
operates that side, on n8n cloud at https://draftngoal.app.n8n.cloud.

Build & test the pack locally (contributors)

cd nodes-dng
npm install
npm run build      # sanitize challenges + tsc
npm run lint       # type-check
npm pack --dry-run # see what gets shipped to npm

Support

  • General questions / billing / score appeals: support@dng.ai.
  • Public bugs and feature requests: GitHub issues here.
  • Security: see SECURITY.md.

License

MIT © Vincent Terrasi / DraftNGoal.

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