What is limina AGENTS.md?

Repository instructions for Limina, a research-focused runtime for autonomous technical investigation. They define how hypotheses, experiments, findings, durable notes, and review points should be organized.

Managing Limina's active state, knowledge-base notes, research workflow, lessons, links, and validation checks after substantial edits.

They keep research work traceable and prevent unsupported experiments, findings, or scattered knowledge from accumulating.

How theam/limina configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to theam/limina. 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/theam/limina/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/theam/limina

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/theam/limina/agents-md/github.svg)](https://agentmods.dev/instructions/theam/limina/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/theam/limina/agents-md"><img src="https://agentmods.dev/badge/instructions/theam/limina/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/theam/limina/agents-md"><img src="https://agentmods.dev/badge/instructions/theam/limina/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,105 This file is loaded in full into every session.

When invoked 2,105 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.

Model	Per session	Once invoked
Fable 5.1	$0.02105	$0.02105
Opus 5.5	$0.00842	$0.00842
Sonnet 5.5	$0.00421	$0.00421
Haiku 4.5	$0.00211	$0.00211

Measured 2mo ago against content hash bbf57f85c8b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

limina 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 · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Limina — Shared Runtime Contract

Limina is a research-first contract for autonomous technical investigation.

This file is the shared machine-facing instruction surface. Keep it short, specific, and stable. Runtime-specific details belong in adapters, skills, or scoped rules.

Core Rules

Durable state lives in kb/. If it only exists in chat, it is not persistent.
The only required core workflow is H -> E -> F.
Do not create an experiment before the hypothesis exists.
Do not create a finding before the experiment exists.
ACTIVE.md is the only always-on state file. Keep it narrow.
Keep files small and specific. Prefer a concrete artifact over a generic note.
Store reusable lessons in kb/lessons/ as small topic files. Read only the ones you need.
Use CR and SR only for real review points: major criticism, reset, or direction change.
If the evaluation, baseline, or prior state looks untrustworthy, stop optimizing and resolve that first.
Run python3 scripts/kb_validate.py after substantial kb edits and before closing kb-heavy work.
Every note in the research core must include a ## Links section with real wikilinks.
Artifact notes alias their ID in frontmatter, so use [[H001]], [[E003]], [[F010]], and similar links instead of raw file paths. Fixed notes use [[ACTIVE]], [[CHALLENGE]], and [[DASHBOARD]].

Mission First

Research exists to improve the mission, not to produce activity.

Optimize for decision-quality progress, not local artifact completion.
Treat benchmark or eval wins as mission progress only when the underlying capability is credible.
Prefer mechanisms that should generalize beyond the current slice, wording, customer, or benchmark.
If the current eval, baseline, or assumptions are not trustworthy, fix that before optimizing further.
If the problem changes, update the research graph to reflect the new reality instead of forcing continuity.

Working With The User

The user is the source of challenge framing, domain context, priorities, constraints, access, and missing information.

Read the full file on GitHub · 164 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.

2mo ago First seen · 164 lines · 2,105 tokens per session scan A bbf57f85c8b9

Subscribe to this mod's changes

limina AGENTS.md is an instructions file published in the GitHub repository theam/limina (42 stars, last pushed 11d ago), licensed Apache-2.0. It adds 2,105 tokens to every session, about $0.0084 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 2026-08-30.

Research agent ai ai-agents automated-research optimizer

limina AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
limina AGENTS.mdtheam/limina	Instructions file	42	11d ago	Apache-2.0	A	2,105	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

limina: Instructions file for Codex