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.
npx agentmods add instructions/superplanehq/superplane/agents-mdgit clone --depth 1 https://github.com/superplanehq/superplaneWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.03898 | $0.03898 |
| Opus 5 | $0.01949 | $0.01949 |
| Sonnet 5 | $0.00780 | $0.00780 |
| Haiku 4.5 | $0.00390 | $0.00390 |
Grade B, and why
superplane AGENTS.md scanned grade B with 1 finding 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
`sudo dockerd &>/tmp/dockerd.log &` — wait ~3-4 seconds before issuing Docker How it starts
The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Guidance for AI coding agents and human contributors working in this repository. Read this top-to-bottom: what the project is, how to set it up, how to build and test, the conventions to follow, what not to touch, and how to submit changes. For UI-specific work, also read web_src/AGENTS.md, .agents/skills/ui-copy/SKILL.md, and .agents/skills/simplified-technical-english/SKILL.md.
Project Overview
SuperPlane is an open-source automation engine for AI-driven engineering. It orchestrates workflows across the tools teams already use (Git, LLMs, CI/CD, observability, incident, and infrastructure tools) with durable execution, approvals, and an operational UI.
- Backend: Go, exposing a gRPC API with a REST/OpenAPI gateway.
- Frontend: TypeScript + React, built with Vite.
- Infrastructure: PostgreSQL (state) and RabbitMQ (messaging), run via Docker.
- The application name is SuperPlane (not "Superplane") in all user-facing text.
Repository Layout
cmd/— Go entrypoints (server, workers, CLI).pkg/— Go application code. Notable packages:pkg/grpc/actions— gRPC API implementation.pkg/models— database models.pkg/workers— background workers.pkg/integrations/<integration>/— integration component implementations.
web_src/— TypeScript/React frontend (Vite). UI component mappers live inweb_src/src/pages/app/mappers/<integration>/.protos/— protobuf definitions for the API.db/— database structure and migrations.scripts/— codegen, DB, and CI helper scripts.test/— backend and end-to-end tests.docs/— Markdown documentation (seedocs/contributing/).Makefile— the entrypoint for all common tasks.
Prerequisites & Setup
The development environment is entirely Docker-based: build, lint, test, and
run commands execute inside containers via docker compose. You do not need Go
or Node installed on the host, only Docker.
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.
- yesterday First seen · 319 lines · 3,898 tokens per session scan B 8567951467a5
superplane AGENTS.md is an instructions file published in the GitHub repository superplanehq/superplane (5,633 stars, last pushed yesterday), licensed Apache-2.0. It adds 3,898 tokens to every session, about $0.0195 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
meshery AGENTS.md
Instructions for meshery/meshery, covering project overview, repository structure, identifier naming conventions — mandatory, per-layer canonical forms and forbidden (must not).
meshery copilot-instructions.md
Instructions for meshery/meshery, covering copilot instructions for meshery, project overview, repository structure, tech stack and backend (server & cli).
nora CLAUDE.md
Instructions for solomon2773/nora, covering claude.md, what this repo is, development commands, docker compose (primary path) and per-service dev (without docker).
asya GEMINI.md
Instructions for deliveryhero/asya, a project described as: 🎭 Distributed Actor Mesh on K8s for AI Agents.
asya AGENTS.md
Instructions for deliveryhero/asya, covering agents.md, project overview, quick reference, testing strategy and envelope protocol.
meshery CLAUDE.md
Instructions for meshery/meshery, a project described as: Meshery, the cloud native manager.