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 PCT-BR/n8n-mcp --skill n8n-error-handlinggit clone --depth 1 https://github.com/PCT-BR/n8n-mcpWrote 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/pct-br/n8n-mcp/n8n-error-handling)<a href="https://agentmods.dev/skills/pct-br/n8n-mcp/n8n-error-handling"><img src="https://agentmods.dev/badge/skills/pct-br/n8n-mcp/n8n-error-handling/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/pct-br/n8n-mcp/n8n-error-handling"><img src="https://agentmods.dev/badge/skills/pct-br/n8n-mcp/n8n-error-handling.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 | $0.00128 | $0.04649 |
| Opus 5 | $0.00064 | $0.02325 |
| Sonnet 5 | $0.00026 | $0.00930 |
| Haiku 4.5 | $0.00013 | $0.00465 |
Grade A, and why
n8n-error-handling 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 10d 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.
This is a copy
100% identical to n8n-error-handling — 0 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.
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n Error Handling
By default, when an n8n node throws, the whole workflow halts. For an interactive run you're watching, that's fine — you see the red node and fix it. For anything unattended (a webhook API, a cron job, a queue worker, an agent tool), it's the wrong default: the caller gets a timeout or an empty 500, the operator gets no alert, and the symptom is "the integration just stopped working" with no log and no clue.
This skill is about making failures loud, structured, and recoverable — and, best case, self-healing so transient blips never reach a human at all.
The two ideas that prevent most silent failures:
- Per-node error outputs — a node's failure routes down a second output you control, instead of killing the run.
- A workflow-level error workflow — a catch-all that fires for anything that escapes per-node handling (timeouts, crashes between nodes, unwired failures).
When you actually need this
| Workflow shape | Error handling posture |
|---|---|
Webhook / API (anything with Respond to Webhook) |
Required. Every fallible node's error output wired; status code matches cause. |
| Scheduled / cron / queue worker / agent tool (unattended) | Required. A workflow-level error workflow, plus retryOnFail on network nodes. |
| Internal one-off you run and watch yourself | Optional. Default onError: "stopWorkflow" is fine — you'll see the red node and re-run. |
The dividing line: if anyone other than you sees the output — a downstream system, an end user, an on-call engineer — the failure has to be handled, not swallowed. If you're the only watcher and the cost of failure is "I notice and re-run", looser is fine.
The #1 silent trap: per-node error output is a TWO-step setup
This is the single most common way an n8n workflow "handles" errors while actually swallowing them. Routing a node's failure to a handler takes two changes, and doing only one looks complete but misbehaves:
- Set
onError: "continueErrorOutput"on the node. This is what creates the second output. Without it,main[1]doesn't exist no matter what you wire. - Wire that error output (
connections.<node>.main[1], i.e.sourceIndex: 1) to a real handler. Without a target, the error data is emitted into the void.
What ships with it
5 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.
- 10d ago First seen · 270 lines · 128 tokens per session scan A 0a2a0e4574e7
n8n-error-handling is a skill published in the GitHub repository PCT-BR/n8n-mcp (0 stars, last pushed 24d ago), licensed MIT. It adds 128 tokens to every session and 4,649 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to n8n-error-handling, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
printing-press-amend
Amend a published CLI from one of two input sources: (1) dogfood mode mines the active Claude Code session transcript for friction (missing flags, hand- rolled API payloads, silent-null returns); (2) direct-input mode accepts user-supplied asks (rename a command, add commands or feeds, fix a named bug, optionally…
convex-performance-audit
Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.
convex-insights
Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.
ssl-proxy-troubleshoot
Systematic workflow for troubleshooting SSL/proxy connectivity issues with government websites.
diagnose-backend-bug
Diagnose a bounded backend or multi-service failure from GitHub Issues, Jira, Aone, user-provided exports, logs, traces, responses, stack traces, or job records. Use when a service, API, RPC, worker, queue, CLI, or scheduled job bug needs correlation through the project's existing observability route before repair; do…
axiom-networking
Use when implementing or debugging ANY network connection, API call, or socket. Covers URLSession, Network.framework, NetworkConnection, connection diagnostics.