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.
curl -O https://raw.githubusercontent.com/Gargeya-Grey/TwinAatma/main/AGENTS.mdgit clone --depth 1 https://github.com/Gargeya-Grey/TwinAatmaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/gargeya-grey/twinaatma/agents-md)<a href="https://agentmods.dev/instructions/gargeya-grey/twinaatma/agents-md"><img src="https://agentmods.dev/badge/instructions/gargeya-grey/twinaatma/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/gargeya-grey/twinaatma/agents-md"><img src="https://agentmods.dev/badge/instructions/gargeya-grey/twinaatma/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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.
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.
- 9d ago First seen · 51 lines · 612 tokens per session scan A 85be4c439839
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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.