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 skills add oyi77/1ai-skills --skill n8n-workflowsgit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/n8n-workflows)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/n8n-workflows"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/n8n-workflows/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.
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/n8n-workflows"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/n8n-workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.01302 |
| Opus 5 | $0.00018 | $0.00651 |
| Sonnet 5 | $0.00007 | $0.00260 |
| Haiku 4.5 | $0.00004 | $0.00130 |
Grade A, and why
n8n-workflows 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
n8n is a fair-code licensed workflow automation tool. It provides 400+ integrations, visual workflow design, self-hosting options, and code flexibility with JavaScript/Python nodes.
Capabilities
- Build workflows with 400+ pre-built nodes
- Use triggers: webhook, cron, email, file changes, database
- Write custom code in JavaScript/Python nodes
- Handle errors with error workflows
- Use expressions for dynamic data mapping
- Self-host or use n8n cloud
- Manage credentials securely
When to Use
Trigger phrases:
-
"n8n workflows"
-
"Automating business processes across multiple SaaS tools"
-
"Building API integrations without coding"
-
"Needing self-hosted automation (data sovereignty)"
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Automating business processes across multiple SaaS tools
-
Building API integrations without coding
-
Needing self-hosted automation (data sovereignty)
-
Complex workflows with branching, loops, error handling
-
Replacing Zapier/Make with more flexibility
When NOT to Use
- Task is simple enough for Zapier (use Zapier for no-code)
- You need complex code execution (use Pipedream)
- Task is about data storage, not workflow automation
- You don't have n8n instance running
- Task requires real-time processing (use streaming tools)
- You need to build a custom application (use development tools)
Pseudo Code
Implementation patterns for common use cases with this skill.
Workflow Structure
Trigger → Set Variables → HTTP Request → IF Condition → Send Email / Slack
↓
Code Node → Database
Expressions
// Access previous node data
{{ $json.fieldName }}
{{ $json.data.items[0].name }}
// Access trigger data
{{ $json.body.query }}
// Transform data
{{ $json.name.toUpperCase() }}
{{ $json.items.filter(i => i.active) }}
// Date
{{ $now.format('yyyy-MM-dd') }}
{{ $now.minus({ days: 7 }).toISO() }}
// Environment variables
{{ $env.API_KEY }}
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.
- 12d ago First seen · 242 lines · 37 tokens per session scan A bf55a2fbdb00
n8n-workflows is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 1,302 once invoked, about $0.0002 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.
Other skills, from other repositories
agent-creator
Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.
post-build-flow
Handles workflow verification and setup after build-workflow succeeds, or when the message contains workflow-verification-follow-up or workflow-setup-required. Load after direct builds, when verificationReadiness requires action, or on orchestrator verify/setup follow-up turns.
intent-recognition
Classifies automation requests using two decisions: anchor (which primitive owns the top-level control flow — workflow-anchored, agent-anchored, needs-clarification, or out-of-scope) and embedsother (whether the other primitive appears embedded inside — an agent step inside a workflow, or a workflow invoked as an…
planned-task-runtime
Handles system follow-up turns: planned-task-follow-up (synthesize, replan, build-workflow, checkpoint), background-task-completed, running-tasks context, and create-tasks silence rules. Load whenever any of these tags appear or after calling create-tasks.
config-evals
Builds and maintains configuration-based evaluations on a workflow with the eval-config tool. Use when the user asks to set up, add, view, change, or remove an evaluation, score, grade, or judge a workflow's output, or measure answer quality against a test dataset. This is the only eval form Instance AI handles — it…
one-off-operations
Handles one-off operations: the request is a concrete effect that happens once — export or copy data somewhere, a migration, a backfill, a cleanup — with no trigger, schedule, or reuse intent. The workflow is the vehicle, not the deliverable. Users rarely say "one-off"; infer it from the task's shape. Load before…