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 Impertio-Studio/n8n-Claude-Skill-Package --skill n8n-impl-integrationsgit clone --depth 1 https://github.com/Impertio-Studio/n8n-Claude-Skill-PackageWrote 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/impertio-studio/n8n-claude-skill-package/n8n-impl-integrations)<a href="https://agentmods.dev/skills/impertio-studio/n8n-claude-skill-package/n8n-impl-integrations"><img src="https://agentmods.dev/badge/skills/impertio-studio/n8n-claude-skill-package/n8n-impl-integrations/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/impertio-studio/n8n-claude-skill-package/n8n-impl-integrations"><img src="https://agentmods.dev/badge/skills/impertio-studio/n8n-claude-skill-package/n8n-impl-integrations.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 | $0.00112 | $0.02480 |
| Opus 5 | $0.00056 | $0.01240 |
| Sonnet 5 | $0.00022 | $0.00496 |
| Haiku 4.5 | $0.00011 | $0.00248 |
Grade A, and why
n8n-impl-integrations 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 — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
n8n API Integration Patterns
HTTP Request node configuration, authentication, pagination, response handling, and batch requests for n8n v1.x.
Quick Reference
| Task | Solution |
|---|---|
| Call a REST API | HTTP Request node with method, URL, and authentication |
| Authenticate with API key | Predefined credential or Generic Credential (Header Auth / Query Auth) |
| Authenticate with OAuth2 | Predefined OAuth2 credential with callback URL configuration |
| Handle paginated responses | HTTP Request node pagination options (offset, cursor, or link-based) |
| Download a file | HTTP Request node with Response Format set to File |
| Send JSON body | Body Content Type = JSON, provide key-value pairs or raw JSON |
| Send form data | Body Content Type = Form-Data (multipart or URL-encoded) |
| Batch API calls | Split In Batches node before HTTP Request node |
| Handle API errors | Enable Retry On Fail and/or Continue On Fail per node |
| Access response metadata | $response.statusCode, $response.headers, $response.body |
Decision Tree: Which Authentication Method
Need to call an external API?
├── API has a built-in n8n node? → Use the dedicated node with its predefined credential
├── API uses API key?
│ ├── Key goes in header? → Generic Credential (Header Auth)
│ ├── Key goes in query string? → Generic Credential (Query Auth)
│ └── Key goes in request body? → Use HTTP Request node with expressions
├── API uses OAuth2?
│ ├── n8n has predefined OAuth2 credential? → Use it (ALWAYS preferred)
│ └── No predefined credential? → Generic OAuth2 API credential
├── API uses Basic Auth?
│ └── Generic Credential (Basic Auth) or HTTP Request Header Auth credential
└── API uses Bearer Token?
└── Generic Credential (Header Auth) with `Authorization: Bearer <token>`
Decision Tree: Which Pagination Strategy
API returns paginated results?
├── Response includes next page URL?
│ └── Use "Response Contains Next URL" pagination mode
├── Response includes cursor/token for next page?
│ └── Use "Response Contains Next URL" with cursor parameter mapping
├── API uses offset + limit?
│ └── Use "Specify How Each Page Is Determined" with offset increment
└── API uses page numbers?
└── Use "Specify How Each Page Is Determined" with page number increment
What ships with it
3 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 · 265 lines · 112 tokens per session scan A 2c7c423d4e43
n8n-impl-integrations is a skill published in the GitHub repository Impertio-Studio/n8n-Claude-Skill-Package (3 stars, last pushed 2mo ago), licensed MIT. It adds 112 tokens to every session and 2,480 once invoked, about $0.0006 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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