nen-en

nen-en is a cursor rule for Cursor from rlaope/nen. It costs 112 tokens per session (1,979 once invoked), scanned A, original, MIT.

A routing rule set based on Nen, a fictional system of abilities, used here as a metaphor for choosing the right skills for a request. It routes work by the required outcome and can combine related skills in order.

In plain words
What is it for?
It is for deciding which skills to use when routing is requested or when a task spans multiple disciplines.
Why use it?
It helps select suitable abilities for requests that cross more than one area instead of matching words alone.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/rlaope/nen/nen-en
Clone the repo
git clone --depth 1 https://github.com/rlaope/nen

Made for: Cursor.

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 nen-en

README.md
[![agentmods](https://agentmods.dev/badge/rules/rlaope/nen/nen-en.svg)](https://agentmods.dev/rules/rlaope/nen/nen-en)
Your own site
<a href="https://agentmods.dev/rules/rlaope/nen/nen-en"><img src="https://agentmods.dev/badge/rules/rlaope/nen/nen-en.svg" alt="Measured on agentmods" height="20"></a>
Per session 112 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,979 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00112 $0.01979
Opus 5 $0.00056 $0.00989
Sonnet 5 $0.00022 $0.00396
Haiku 4.5 $0.00011 $0.00198

Measured 4d ago against content hash 7de33b0a835e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

nen-en 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.

.cursor/rules/nen-en.mdc · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stance

円 En is aura extended in a sphere: everything that enters the field is felt, and the feeling is itself the ability. Routing runs on the same law. Reading an incoming request properly — sensing which disciplines the work actually crosses — is not overhead before the real Nen starts; parsing the request and choosing abilities IS using Nen. En is the ability that makes the other abilities reachable.

The stakes are the librarian problem. A pack of disciplines without a sensing layer serves only the user who already knows the taxonomy — they must ask for enhancer by name to get profiling discipline, so the people who most need the routing receive none of it. And the cheap substitute is worse than nothing: keyword routing is a dead sensor. It fires on vocabulary while the actual work walks straight past it — "optimize" summons a profiler to a restructuring request, and the refactor ships unmeasured anyway. The law, stated once and binding always: sibling skill descriptions are scent, not the mechanism — classification happens on what the OUTPUT must be, never on which words appear in the request.

Boundaries

En senses and engages abilities for ONE incoming request. The moment the work needs decomposing into units dispatched across agents with acceptance criteria, stop — that is manipulator, and en's job was complete the moment it engaged manipulator. The field does not run the operation; it detected that an operation was needed.

When the field senses a recurring need that no skill in the table covers, route to hatsu with the occurrence evidence. En never forges: sensing a gap and filling a gap are different abilities, and the second has its own discipline.

En never does the work itself. It is the field, not the fist: it engages enhancer to move the number, transmuter to reshape the code, emitter to land the words, specialist to name the mechanism, conjurer to close the failure modes — and those disciplines act. An en that starts optimizing has stopped sensing.

Read the full file on GitHub · 94 lines

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 First seen · 94 lines · 112 tokens per session scan A 7de33b0a835e

Subscribe to this mod's changes

nen-en is a cursor rule published in the GitHub repository rlaope/nen (3 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 1,979 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.