Borrowing it
Nothing to install: this file belongs to andersonaguiar/haiflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/andersonaguiar/haiflow/main/.claude/skills/haiflow-n8n/SKILL.mdgit clone --depth 1 https://github.com/andersonaguiar/haiflowWrote 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/andersonaguiar/haiflow/haiflow-n8n)<a href="https://agentmods.dev/skills/andersonaguiar/haiflow/haiflow-n8n"><img src="https://agentmods.dev/badge/skills/andersonaguiar/haiflow/haiflow-n8n/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/andersonaguiar/haiflow/haiflow-n8n"><img src="https://agentmods.dev/badge/skills/andersonaguiar/haiflow/haiflow-n8n.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00185 | $0.09193 |
| Opus 5 | $0.00093 | $0.04596 |
| Sonnet 5 | $0.00037 | $0.01839 |
| Haiku 4.5 | $0.00018 | $0.00919 |
Grade C, and why
haiflow-n8n scanned grade C with 2 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
2. **Secret file references**: `.env`, `credentials.json`, SSH keys, `.aws/credentials`, etc. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
When n8n MCP tools don't support creating workflows, use the **n8n public API (v1)** directly via curl/fetch. How it starts
The opening of the file, as written. The whole thing — 1,001 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n + haiflow Expert
You are an expert in both n8n (workflow automation) and haiflow (Claude Code HTTP orchestrator). Use this knowledge to answer questions, design workflows, debug issues, and architect solutions that combine both systems.
Project references (read these for current implementation details):
README.md— haiflow setup, architecture, and examplesAPI.md— haiflow endpoint referencesrc/index.ts— haiflow server implementationexamples/chained-calc/— Chained calc n8n workflow steps and pipeline config
Part 1: n8n Deep Knowledge
Core Concepts
Workflows
- A workflow is a DAG of nodes connected by edges that define data flow
- Exported/imported as JSON:
name,nodes[],connections{},settings{},pinData{} - Must be Active (published) to run automatically via triggers
- Each workflow has
id,name,activeboolean
Data Model
All data between nodes is an array of items. Each item:
{
"json": { "field": "value" },
"binary": {
"file-key": {
"data": "base64...",
"mimeType": "image/png",
"fileExtension": "png",
"fileName": "example.png"
}
}
}
Connections
{
"connections": {
"SourceNodeName": {
"main": [[{ "node": "TargetNodeName", "type": "main", "index": 0 }]]
}
}
}
- Outer array = output indices (e.g., IF has index 0 for true, index 1 for false)
- Inner array = multiple connections from a single output (fan-out)
Execution Modes
$execution.mode === 'test'— Manual run from editor$execution.mode === 'production'— Automatic via trigger (workflow must be Active)$execution.mode === 'evaluation'— Running workflow tests
Trigger Nodes
Webhook (n8n-nodes-base.webhook)
- Creates an HTTP endpoint that triggers workflows
- Test URL:
https://instance/webhook-test/{path}— editor development - Production URL:
https://instance/webhook/{path}— live when Active - HTTP methods: GET, POST, PUT, PATCH, DELETE, HEAD
- Path supports route params:
/:variable,/path/:var1/:var2 - Auth: None, Basic Auth, Header Auth, JWT Auth
- Max payload: 16MB (configurable via
N8N_PAYLOAD_SIZE_MAX) - Response modes:
- Immediately — Returns
{"status": "Workflow got started"}(fire-and-forget) - When Last Node Finishes — Waits for completion, returns last node output
- Using 'Respond to Webhook' Node — Full control over response code/headers/body
- Streaming Response — Real-time SSE for long-running ops
- Immediately — Returns
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 · 1,001 lines · 185 tokens per session scan C 17f674f3a738
haiflow-n8n is a skill published in the GitHub repository andersonaguiar/haiflow (10 stars, last pushed yesterday), licensed MIT. It adds 185 tokens to every session and 9,193 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it C with 2 findings (reaches for credential files, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
swarm-pr-review
Run a graph-guided, tool-augmented PR review using context packing, parallel exploration, mandatory repository-agnostic risk-family coverage with dispatch scaled to diff size and risk, independent reviewer validation, critic challenge, and metrics writeback. Use for deep pull request review with low false-positive…
loop
Full execution protocol for MODE: LOOP — the compound-engineering loop: brainstorm → plan → build → review → improve, iterating under defense-in-depth stop conditions with generator/critic separation, durable resumable state, and mandatory compounding learning capture. Loaded on demand by the architect when the loop…
council
Full execution protocol for MODE: COUNCIL -- General Council research, parallel member dispatch, disagreement handling, and synthesis.
deep-research
Full execution protocol for MODE: DEEPRESEARCH — orchestrator-worker deep research over external sources: decompose, iterative websearch/webfetch retrieval, parallel sme synthesis, dual-reviewer claim verification, critic challenge of high-stakes claims, and a cited report. Loaded on demand by the architect when the…
bundle-safety
Bundle transform safety — minification variant selection, consumer-constraint verification, identifier preservation, and namespace re-export coverage for build output.
safe-extraction
Apply when extracting code from a large monolith file into submodules. Covers barrel re-exports, internals DI seam proxy patterns, CI invariant allowlist updates, and cross-file test verification. Prevents CI failures, broken imports, and test regressions from code extraction.