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.
npx agentmods add skills/synaptic-labs-ai/pact-plugin/n8n-workflow-patternsnpx skills add Synaptic-Labs-AI/PACT-Plugin --skill n8n-workflow-patternsgit clone --depth 1 https://github.com/Synaptic-Labs-AI/PACT-PluginWrote 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.
[](https://agentmods.dev/skills/synaptic-labs-ai/pact-plugin/n8n-workflow-patterns)<a href="https://agentmods.dev/skills/synaptic-labs-ai/pact-plugin/n8n-workflow-patterns"><img src="https://agentmods.dev/badge/skills/synaptic-labs-ai/pact-plugin/n8n-workflow-patterns.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.02787 |
| Opus 5 | $0.00030 | $0.01393 |
| Sonnet 5 | $0.00012 | $0.00557 |
| Haiku 4.5 | $0.00006 | $0.00279 |
Grade A, and why
n8n-workflow-patterns scanned grade A with 0 findings 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 6d ago.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- n8n-workflow-patterns — 92% identical, 2 lines differ
- n8n-workflow-patterns — 92% identical, 2 lines differ
- n8n-workflow-patterns — 92% identical, 2 lines differ
- n8n-workflow-patterns — 92% identical, 2 lines differ
- n8n-workflow-patterns — 81% identical, 37 lines differ
- n8n-workflow-patterns — 78% identical, 111 lines differ
- n8n-workflow-patterns — 78% identical, 111 lines differ
- n8n-workflow-patterns — 78% identical, 111 lines differ
How it starts
The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n Workflow Patterns
Proven architectural patterns for building n8n workflows.
The 5 Core Patterns
Based on analysis of real workflow usage:
-
Webhook Processing (Most Common)
- Receive HTTP requests → Process → Output
- Pattern: Webhook → Validate → Transform → Respond/Notify
-
- Fetch from REST APIs → Transform → Store/Use
- Pattern: Trigger → HTTP Request → Transform → Action → Error Handler
-
- Read/Write/Sync database data
- Pattern: Schedule → Query → Transform → Write → Verify
-
- AI agents with tools and memory
- Pattern: Trigger → AI Agent (Model + Tools + Memory) → Output
-
- Recurring automation workflows
- Pattern: Schedule → Fetch → Process → Deliver → Log
Pattern Selection Guide
When to use each pattern:
Webhook Processing - Use when:
- Receiving data from external systems
- Building integrations (Slack commands, form submissions, GitHub webhooks)
- Need instant response to events
- Example: "Receive Stripe payment webhook → Update database → Send confirmation"
HTTP API Integration - Use when:
- Fetching data from external APIs
- Synchronizing with third-party services
- Building data pipelines
- Example: "Fetch GitHub issues → Transform → Create Jira tickets"
Database Operations - Use when:
- Syncing between databases
- Running database queries on schedule
- ETL workflows
- Example: "Read Postgres records → Transform → Write to MySQL"
AI Agent Workflow - Use when:
- Building conversational AI
- Need AI with tool access
- Multi-step reasoning tasks
- Example: "Chat with AI that can search docs, query database, send emails"
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.
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.
- 6d ago First seen · 414 lines · 59 tokens per session scan A e4d16a16db47
n8n-workflow-patterns is a skill published in the GitHub repository Synaptic-Labs-AI/PACT-Plugin (71 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 2,787 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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