intent-recognition

intent-recognition is a skill for Claude Code, Codex from n8n-io/n8n. It costs 146 tokens per session (5,866 once invoked), scanned A, original, no licence file.

A guide for classifying automation requests by deciding whether a workflow or an agent controls the main process. A workflow is a sequence of automated steps; an agent is an assistant that can decide which steps to use.

In plain words
What is it for?
Use it to identify workflow-led requests, agent-led requests, unclear requests, and requests where an agent is part of a workflow or a workflow is called by an agent.
Why use it?
It clarifies which kind of automation should own the task, including cases where one is used inside the other.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to identify workflow-led requests, agent-led requests, unclear requests, and requests where an agent is part of a workflow or a workflow is called by an agent.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/n8n-io/n8n/intent-recognition
Install

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.

Any agent
npx skills add n8n-io/n8n --skill intent-recognition
Clone the repo
git clone --depth 1 https://github.com/n8n-io/n8n

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for intent-recognition

README.md
[![agentmods](https://agentmods.dev/badge/skills/n8n-io/n8n/intent-recognition.svg)](https://agentmods.dev/skills/n8n-io/n8n/intent-recognition)
Your own site
<a href="https://agentmods.dev/skills/n8n-io/n8n/intent-recognition"><img src="https://agentmods.dev/badge/skills/n8n-io/n8n/intent-recognition.svg" alt="Measured on agentmods" height="20"></a>
Per session 146 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,866 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 392
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00146 $0.05866
Opus 5 $0.00073 $0.02933
Sonnet 5 $0.00029 $0.01173
Haiku 4.5 $0.00015 $0.00587

Measured 4d ago against content hash 12cdf78ce399, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

intent-recognition 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 4d 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.

packages/@n8n/instance-ai/skills/intent-recognition/SKILL.md · 447 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. 4d ago Changed · +55 lines 12cdf78ce399
  2. 8d ago First seen · 392 lines · 146 tokens per session scan A a55b227db023

Subscribe to this mod's changes

intent-recognition is a skill published in the GitHub repository n8n-io/n8n (203,589 stars, last pushed today), with no licence file. It adds 146 tokens to every session and 5,866 once invoked, about $0.0007 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.