skills copilot-instructions.md

skills copilot-instructions.md is an instructions file for GitHub Copilot from flespi-software/skills. It costs 163 tokens per session, scanned A, original, MIT.

Repository instructions for working with flespi, an Internet-of-Things platform for tracking vehicles and other connected devices. They point agents to reference material for APIs, MQTT messaging, telematics integrations, and platform concepts.

In plain words
What is it for?
Use them when building or changing flespi integrations involving channels, devices, streams, calculators, plugins, geofences, REST APIs, MQTT, filters, or webhooks.
Why use it?
They reduce guesswork when working with flespi and help keep API, messaging, filtering, and integration work consistent with the platform's documented patterns.

Instructions file for GitHub Copilot

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

Made for: GitHub Copilot.

Per session 163 This file is loaded in full into every session.
When invoked 163 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 $0.00163 $0.00163
Opus 5 $0.00081 $0.00081
Sonnet 5 $0.00033 $0.00033
Haiku 4.5 $0.00016 $0.00016

Measured 3d ago against content hash f6e8435ef81e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skills copilot-instructions.md 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 3d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/copilot-instructions.md · 11 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. 3d ago First seen · 11 lines · 163 tokens per session scan A f6e8435ef81e

Subscribe to this mod's changes

skills copilot-instructions.md is an instructions file published in the GitHub repository flespi-software/skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 163 tokens to every session, about $0.0008 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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