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 RamithaW/openclaw-skill-n8n --skill n8ngit clone --depth 1 https://github.com/RamithaW/openclaw-skill-n8nWrote 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/ramithaw/openclaw-skill-n8n/n8n)<a href="https://agentmods.dev/skills/ramithaw/openclaw-skill-n8n/n8n"><img src="https://agentmods.dev/badge/skills/ramithaw/openclaw-skill-n8n/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/ramithaw/openclaw-skill-n8n/n8n"><img src="https://agentmods.dev/badge/skills/ramithaw/openclaw-skill-n8n/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 | $0.00062 | $0.00897 |
| Opus 5 | $0.00031 | $0.00449 |
| Sonnet 5 | $0.00012 | $0.00179 |
| Haiku 4.5 | $0.00006 | $0.00090 |
Grade A, and why
n8n 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n
Use this skill to reliably work with n8n as an automation engine: design workflows, generate/import/export workflow JSON, debug executions, and (when enabled) operate n8n via its public REST API.
Quick start (pick a path)
- Workflow design / changes (no API needed)
- Clarify: trigger, inputs, outputs, schedule, error handling, idempotency.
- Produce: either a workflow JSON export, or step-by-step UI instructions to build it.
- For JSON structure + conventions: read
{baseDir}/references/workflow-json.md.
- Operate n8n via REST API (recommended for repeatable ops)
- Requires:
N8N_BASE_URL+N8N_API_KEY. - Use the helper script:
{baseDir}/scripts/n8n_api.py. - For auth/pagination details: read
{baseDir}/references/n8n-api.md.
Workflow decision tree
- If the user says “here’s my exported workflow JSON” → validate/modify JSON, return a new JSON export.
- If the user says “build this in my n8n UI” → produce exact node-by-node build instructions.
- If the user says “deploy / activate / list / run / inspect executions” → use the REST API helper script.
- If the user says “webhook isn’t firing / workflow failed” → use the debugging checklist in
{baseDir}/references/troubleshooting.md.
Core workflows
A) Create or update a workflow (JSON-first)
- Define the spec (minimal)
- Trigger (Webhook/Cron/Manual)
- Data sources + credentials
- Transformations (expressions/code)
- Side effects (write/send)
- Error strategy (continue on fail vs stop, retries, alerting)
- Create/modify workflow JSON
- Prefer small diffs.
- Keep credentials references by name/id only; never embed secrets.
- See
{baseDir}/references/workflow-json.md.
- Import/update
- UI: import JSON.
- API: use
{baseDir}/scripts/n8n_api.py(examples inreferences/n8n-api.md).
- Activate + verify
- Activate workflow.
- Run a controlled test; inspect execution + node outputs.
B) Debug an execution
- Confirm the trigger event occurred (webhook hit / schedule ran / manual start).
- Inspect the last execution and identify the failing node.
- Check common causes: missing credentials, expression errors, data shape mismatch, rate limits.
- Add observability: temporary Set/Code nodes to log key fields; consider an “Error Trigger” workflow.
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.
- 10d ago First seen · 85 lines · 62 tokens per session scan A ba201c799bd9
n8n is a skill published in the GitHub repository RamithaW/openclaw-skill-n8n (10 stars, last pushed 7mo ago), licensed MIT. It adds 62 tokens to every session and 897 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 2026-08-31.
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