autonomous-rag: Instructions file for Codex

AGENTS.md

autonomous-rag AGENTS.md is an instructions file for Codex, OpenCode from BhavyaFattania/autonomous-rag. It costs 1,668 tokens per session, scanned A, original, MIT.

A repository guide for Ruflo, covering project rules, folder organization, and communication between named coding agents. It describes a coordinated workflow in which agents pass findings from research through design, implementation, testing, and review.

In plain words
What is it for?
Use it when coordinating multiple agents, assigning repository work, following the project's file and security rules, or passing results between workflow stages.
Why use it?
It helps teams of agents work within the repository's constraints and prevents conflicting or poorly placed changes.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Codex.

This is BhavyaFattania/autonomous-rag's own configuration. It tells Codex and OpenCode how to work on autonomous-rag 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 autonomous-rag configures →

Reuse

Borrowing it

Nothing to install: this file belongs to BhavyaFattania/autonomous-rag. 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/BhavyaFattania/autonomous-rag/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/BhavyaFattania/autonomous-rag

Made for: Codex, OpenCode.

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Per session 1,668 This file is loaded in full into every session.
When invoked 1,668 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 $0.01668 $0.01668
Opus 5.5 $0.00667 $0.00667
Sonnet 5.5 $0.00334 $0.00334
Haiku 4.5 $0.00167 $0.00167

Measured 2mo ago against content hash 2ba64dbc24b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

autonomous-rag AGENTS.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 2mo 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.

AGENTS.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ruflo — Codex Configuration

Rules

  • Do what has been asked; nothing more, nothing less
  • NEVER create files unless absolutely necessary — prefer editing existing files
  • NEVER create documentation files unless explicitly requested
  • NEVER save working files or tests to root — use /src, /tests, /docs, /config, /scripts
  • ALWAYS read a file before editing it
  • NEVER commit secrets, credentials, or .env files
  • Keep files under 500 lines
  • Validate input at system boundaries

Agent Comms (SendMessage-First Coordination)

Named agents coordinate via SendMessage, not polling or shared state.

Lead (you) ←→ architect ←→ developer ←→ tester ←→ reviewer
              (named agents message each other directly)

Spawning a Coordinated Team

// ALL agents in ONE message, each knows WHO to message next
Agent({ prompt: "Research the codebase. SendMessage findings to 'architect'.",
  subagent_type: "researcher", name: "researcher", run_in_background: true })
Agent({ prompt: "Wait for 'researcher'. Design solution. SendMessage to 'coder'.",
  subagent_type: "system-architect", name: "architect", run_in_background: true })
Agent({ prompt: "Wait for 'architect'. Implement it. SendMessage to 'tester'.",
  subagent_type: "coder", name: "coder", run_in_background: true })
Agent({ prompt: "Wait for 'coder'. Write tests. SendMessage results to 'reviewer'.",
  subagent_type: "tester", name: "tester", run_in_background: true })
Agent({ prompt: "Wait for 'tester'. Review code quality and security.",
  subagent_type: "reviewer", name: "reviewer", run_in_background: true })

// Kick off the pipeline
SendMessage({ to: "researcher", summary: "Start", message: "[task context]" })

Patterns

Pattern Flow Use When
Pipeline A → B → C → D Sequential dependencies (feature dev)
Fan-out Lead → A, B, C → Lead Independent parallel work (research)
Supervisor Lead ↔ workers Ongoing coordination (complex refactor)

Read the full file on GitHub · 176 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. 2mo ago First seen · 176 lines · 1,668 tokens per session scan A 2ba64dbc24b9

Subscribe to this mod's changes

autonomous-rag AGENTS.md is an instructions file published in the GitHub repository BhavyaFattania/autonomous-rag (6 stars, last pushed 27d ago), licensed MIT. It adds 1,668 tokens to every session, about $0.0067 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 2026-08-31.

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