nrswa-ai-mcp: Cursor rule for Cursor

.cursorrules

cursorrules is a cursor rule for Cursor from CSOAI-ORG/nrswa-ai-mcp. It costs 177 tokens per session, scanned A, original, MIT.

A rule set that tells an agent when to use tools for NRSWA, the UK rules for street works. NRSWA includes requirements for licences, notices, work types, penalties, and worker accreditation.

In plain words
What is it for?
Use it for Section 50 licence checks, work classification, Section 74 penalty calculations, accreditation checks, and statutory noticing timelines.
Why use it?
It helps the agent choose the relevant compliance check when a user asks about street works or related legal sections.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

This is CSOAI-ORG/nrswa-ai-mcp's own configuration. It tells Cursor how to work on nrswa-ai-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nrswa-ai-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to CSOAI-ORG/nrswa-ai-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/CSOAI-ORG/nrswa-ai-mcp/main/.cursorrules
Clone the repo
git clone --depth 1 https://github.com/CSOAI-ORG/nrswa-ai-mcp

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 cursorrules

README.md
[![agentmods](https://agentmods.dev/badge/rules/csoai-org/nrswa-ai-mcp/cursorrules.svg)](https://agentmods.dev/rules/csoai-org/nrswa-ai-mcp/cursorrules)
Your own site
<a href="https://agentmods.dev/rules/csoai-org/nrswa-ai-mcp/cursorrules"><img src="https://agentmods.dev/badge/rules/csoai-org/nrswa-ai-mcp/cursorrules.svg" alt="Measured on agentmods" height="20"></a>
Per session 177 This file is loaded in full into every session.
When invoked 177 The same file — it is already loaded in full.
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 5.1 $0.00177 $0.00177
Opus 5 $0.00088 $0.00088
Sonnet 5 $0.00035 $0.00035
Haiku 4.5 $0.00018 $0.00018

Measured 5d ago against content hash 4585785fc03e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

cursorrules 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 5d 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.

.cursorrules · 14 lines

What it actually says

NRSWA (New Roads & Street Works Act) MCP - Auto-trigger Rules

When the user asks about NRSWA, street works, Section 50/58/74, utility works, accreditation, use nrswa-ai-mcp tools:

  • check_s50_licence: Section 50 street works licence application requirements
  • classify_works: Major / Minor / Standard / Immediate works classification
  • calculate_s74_overrun: Section 74 overrun penalty calculator
  • nrswa_accreditation_check: Operative + supervisor accreditation status
  • noticing_timeline: Statutory noticing periods and deadlines

Install: pip install nrswa-ai-mcp

By MEOK AI Labs — trade vertical compliance MCP. Pairs with meok-attestation-api for signed compliance certs.

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. 5d ago First seen · 14 lines · 177 tokens per session scan A 4585785fc03e

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository CSOAI-ORG/nrswa-ai-mcp (0 stars, last pushed 3d ago), licensed MIT. It adds 177 tokens to every session, about $0.0009 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.