TwinAatma: Instructions file for Codex

AGENTS.md

TwinAatma AGENTS.md is an instructions file for Codex, OpenCode from Gargeya-Grey/TwinAatma. It costs 612 tokens per session, scanned A, original, MIT.

A set of operating instructions for coding agents working in the TwinAatma project, a personal knowledge and memory system. It defines how the agent should update memories, use past context, and handle user preferences.

In plain words
What is it for?
Use it when making changes inside the TwinAatma codebase. It guides memory searches, preference updates, automatic maintenance, and the rules for writing data.
Why use it?
It keeps the agent’s behavior consistent with the project’s promise that people should not have to manage the memory system themselves. It also explains when information should be recalled or saved.

Instructions file for CodexOpenCode

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

This is Gargeya-Grey/TwinAatma's own configuration. It tells Codex and OpenCode how to work on TwinAatma 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 TwinAatma configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Gargeya-Grey/TwinAatma. 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/Gargeya-Grey/TwinAatma/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Gargeya-Grey/TwinAatma

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 612 This file is loaded in full into every session.
When invoked 612 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 $0.00612 $0.00612
Opus 5 $0.00306 $0.00306
Sonnet 5 $0.00122 $0.00122
Haiku 4.5 $0.00061 $0.00061

Measured 9d ago against content hash 85be4c439839, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

TwinAatma 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 9d 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 · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — TwinAatma Operating Contract

You are operating inside a TwinAatma vault (technical toolkit: KnowledgeOS / knowledgeos): the user's portable long-term memory and Self-model.

Product promise (non-negotiable)

The human finished one successful setup. After that:

  • They must never think about operating the twin (no scripts, cadences, indexes, schema).
  • You keep TwinAatma up to date, relevant, and self-evolving.
  • They only enjoy grounded help — plus rare soft yes/no when remembering a preference.

Speak about “remembering” / “your preferences” to the user. Prefer not to say “TwinAatma” or “KnowledgeOS” unless they ask how the system works.

Autopilot (do this without being asked)

When Call Why
First tool every meaningful chat memory_session_start (task_hint = user goal) Autopilot: refresh index if stale, load Self + memory, weekly drift proposal, soft_prompt
Need past context memory_search / memory_get_note / memory_related / memory_decisions Magical relevance
User shares something worth keeping memory_capture Persist without asking them to "save"
Stable preference / rule changes memory_propose_self_update → soft yes/no Self never silent-writes
User agrees memory_accept_self_update Apply
User declines memory_reject_self_update Archive
Useful work wrapping up memory_session_end + short summary Episodic memory + freshen index

Also: memory_breathe (alias of session_start), memory_ops_status, memory_propose_from_lesson, memory_propose_from_drift, memory_pending_outcomes, memory_timeline, memory_drift.

Soft prompts (not chores)

If soft_prompt is set, ask once, in human language:

  • Good: “Want me to remember that preference?”
  • Good: “Quick check — how did X turn out?”
  • Bad: “Update your digital twin / run scripts / open Self-Proposals.”

Never dump JSON, tool names, or KnowledgeOS branding on the user unless they ask how it works.

Read the full file on GitHub · 51 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. 9d ago First seen · 51 lines · 612 tokens per session scan A 85be4c439839

Subscribe to this mod's changes

TwinAatma AGENTS.md is an instructions file published in the GitHub repository Gargeya-Grey/TwinAatma (4 stars, last pushed yesterday), licensed MIT. It adds 612 tokens to every session, about $0.0031 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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