rocketride-server: Instructions file for GitHub Copilot

.github/copilot-instructions.md

rocketride-server copilot-instructions.md is an instructions file for GitHub Copilot from rocketride-org/rocketride-server. It costs 808 tokens per session, scanned A, original, MIT.

Project instructions for RocketRide, an AI pipeline builder used for document processing, retrieval systems, and data integration. They tell an agent which documentation to read before writing Python or TypeScript code.

In plain words
What is it for?
Use them when creating or changing RocketRide pipelines, configuring components, using its Python or TypeScript SDK, or reading runtime traces.
Why use it?
They reduce errors caused by skipping required setup, pipeline rules, API details, or known pitfalls.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is rocketride-org/rocketride-server's own configuration. It tells GitHub Copilot how to work on rocketride-server 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 rocketride-server configures →

About the project

RocketRide is an open-source AI development environment and data-pipeline runtime that lets developers compose, debug, observe, and deploy model-based workflows from an IDE or terminal. Its C++ engine runs portable pipelines with extensible nodes for language models, vector databases, document processing, and agent orchestration on the user's infrastructure. The catalogue entries relate to operating and developing with RocketRide's workflows, SDKs, and tooling.

rocketride-org/rocketride-server · 19,948 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to rocketride-org/rocketride-server. 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/rocketride-org/rocketride-server/develop/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/rocketride-org/rocketride-server

Made for: GitHub Copilot.

Wrote this? Show the measurements

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README.md
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Per session 808 This file is loaded in full into every session.
When invoked 808 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00808 $0.00808
Opus 5.5 $0.00323 $0.00323
Sonnet 5.5 $0.00162 $0.00162
Haiku 4.5 $0.00081 $0.00081

Measured 1mo ago against content hash a3ee7fa2ce51, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rocketride-server 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 1mo 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.

.github/copilot-instructions.md · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RocketRide: AI Pipeline & App Platform

Use RocketRide when building AI pipelines (document processing, RAG, agents, data integration) or when building apps on the RocketRide platform (React UIs on the platform shell, often embedding pipelines).

Documentation

Full docs: .rocketride/docs/

Read the relevant doc(s) before generating any RocketRide code.

File Read when...
ROCKETRIDE_README.md Starting ANY RocketRide work: the platform map, setup, task router
ROCKETRIDE_CLI.md The rocketride command: validate, start/upload runs, store, deploy, app verbs; when to prefer it over SDK code
ROCKETRIDE_CONCEPTS.md Early, always: workspace, connection, deploy/publish lifecycle, how apps and pipelines fit together
ROCKETRIDE_PIPELINES.md Writing or editing a .pipe: format, lanes, profiles, patterns, pitfalls
ROCKETRIDE_COMPONENT_REFERENCE.md Choosing/configuring pipeline components via the catalog + schemas
ROCKETRIDE_APPS.md Building or modifying an app: App Builder, shell UI, manifest, deploy/publish
ROCKETRIDE_UI_COMPONENTS.md Using a specific UI component in an app: props, wiring, snippets
ROCKETRIDE_INTEGRATIONS.md MCP tools, n8n, external webhooks, Telegram, mid-pipeline HTTP, CI
ROCKETRIDE_python_API.md Python SDK: client methods, deploy & schedules, file store, events
ROCKETRIDE_typescript_API.md TypeScript SDK: client methods, app-sdk, deploy & schedules, events
ROCKETRIDE_OBSERVABILITY.md Consuming runtime events and logs, building monitoring

Before writing ANY RocketRide code

  1. Read .rocketride/docs/ROCKETRIDE_README.md and follow its task router for the job at hand
  2. Building a pipeline: ROCKETRIDE_CONCEPTS.md + ROCKETRIDE_PIPELINES.md + ROCKETRIDE_COMPONENT_REFERENCE.md
  3. Building an app: ROCKETRIDE_CONCEPTS.md + ROCKETRIDE_APPS.md + ROCKETRIDE_UI_COMPONENTS.md
  4. Driving either from code: NEVER invent anything — verify client.* method names and signatures against your language's API doc (ROCKETRIDE_python_API.md / ROCKETRIDE_typescript_API.md), and pipeline component names and config fields against .rocketride/services-catalog.json and .rocketride/schema/
  5. Two connections may exist in .env: ROCKETRIDE_URI/ROCKETRIDE_APIKEY (development - run/validate/iterate) and ROCKETRIDE_DEPLOY_URI/ROCKETRIDE_DEPLOY_APIKEY (deployment target - deploy/publish/schedule). Never run lifecycle verbs against the dev pair; if the DEPLOY pair is absent, no deploy target is configured - ask the user.
  6. NEW apps are created ONLY through the scaffold - agents call client.deploy.createApp(slug, ...) (install the client first from the workspace's own .rocketride/client/rocketride.tgz - the scaffold vendors it from the connected server, so it is present once the workspace has been opened against one; with no server URL known the scaffold skips vendoring and the tarball lands on the next connected open - NEVER from the npm registry); humans use the App Builder's New App wizard. Never hand-create app files. (For lifecycle operations generally, prefer the rocketride command; see ROCKETRIDE_CLI.md.)

Read the full file on GitHub · 37 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. 1mo ago Changed · +3 lines · +357 tokens per session a3ee7fa2ce51
  2. 1mo ago Changed · +3 lines · +80 tokens per session 60f00cd9c82d
  3. 1mo ago First seen · 31 lines · 371 tokens per session scan A 255584f5523a

Subscribe to this mod's changes

rocketride-server copilot-instructions.md is an instructions file published in the GitHub repository rocketride-org/rocketride-server (19,948 stars, last pushed today), licensed MIT. It adds 808 tokens to every session, about $0.0032 per session on Opus 5.5. 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 2026-09-10.

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