cursorrules

A flespi plugin definition for an IoT and telematics cloud platform. It provides AI coding assistants with REST API, MQTT, device-management, and analytics references, plus connections to flespi development and support services.

In plain words
What is it for?
Use it when developing applications that connect vehicle or sensor devices to flespi, query its API, use its MQTT broker, manage devices, or process telemetry data.
Why use it?
It gives coding assistants platform-specific information and service access so they can work with flespi without relying on incomplete general knowledge.

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/flespi-software/skills/cursorrules
Clone the repo
git clone --depth 1 https://github.com/flespi-software/skills

Made for: Cursor.

Per session 127 This file is loaded in full into every session.
When invoked 127 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 $0.00127 $0.00127
Opus 5 $0.00063 $0.00063
Sonnet 5 $0.00025 $0.00025
Haiku 4.5 $0.00013 $0.00013

Measured yesterday against content hash 4d641fa9ff86, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 yesterday.

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 · 8 lines

What it actually says

You have access to flespi IoT platform knowledge. When working with flespi APIs, MQTT, or telematics integrations, refer to the flespi skill reference at skills/flespi/SKILL.md in this repository for:

  • Platform concepts (channels, devices, streams, calculators, plugins, geofences)
  • REST API reference (base URL: https://flespi.io, auth, CRUD, selectors, pagination)
  • MQTT broker reference (mqtt.flespi.io, topics, filtering, shared subscriptions)
  • Expression syntax for filters, calculators, and webhooks
  • Common API patterns and best practices
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. yesterday First seen · 8 lines · 127 tokens per session scan A 4d641fa9ff86

Subscribe to this mod's changes

cursorrules is a cursor rule published in the GitHub repository flespi-software/skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 127 tokens to every session, 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.