Agentlas OS is a local-first system for creating, storing, borrowing, and running specialist AI agents and temporary agent teams through supported hosts and models. It serves people who want reusable agents that remain available across computers and model workspaces, and the catalogue contains its skills, commands, hooks, agents, instructions, plugin, and rule.
Borrowing it
Nothing to install: this file belongs to agentlas-ai/Agentlas-OS. 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/agentlas-ai/Agentlas-OS/main/GEMINI.mdgit clone --depth 1 https://github.com/agentlas-ai/Agentlas-OSWrote 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/agentlas-ai/agentlas-os/gemini-md)<a href="https://agentmods.dev/instructions/agentlas-ai/agentlas-os/gemini-md"><img src="https://agentmods.dev/badge/instructions/agentlas-ai/agentlas-os/gemini-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/agentlas-ai/agentlas-os/gemini-md"><img src="https://agentmods.dev/badge/instructions/agentlas-ai/agentlas-os/gemini-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 | $0.00680 | $0.00680 |
| Opus 5.5 | $0.00272 | $0.00272 |
| Sonnet 5.5 | $0.00136 | $0.00136 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
Agentlas-OS GEMINI.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 4d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Antigravity Adapter
This is a thin Antigravity adapter (Antigravity reads GEMINI.md) for the Agentlas Core Engine Meta-Agent Team.
AGENTS.md is the canonical source of truth.
Public Release Boundary
The Public Release Allowlist (Hard Rule) in AGENTS.md is mandatory.
For public GitHub work, stage only end-user install/runtime files and public
README/LICENSE/CHANGELOG material. Never stage internal docs, research,
benchmarks, tests or fixtures, logs/results, signing or credential material,
environment files, private paths/memory, or unrelated local work. Verify the
staged archive, not the dirty working tree.
Google Antigravity keeps its data under ~/.gemini/ and auto-loads this file
and AGENTS.md. Its /hep-build,
/hep-network, /hep-local, /hep-cloud, and /hep-hub slash commands ship as
Antigravity workflows under antigravity/ (see antigravity/README.md).
Startup
- Read
AGENTS.md. - Read
.agents/agentlas-core-engine-meta-agent/agent.md. - Read
.agentlas/mode-map.json. - Use
.agents/skills/mode-classification/SKILL.mdto choose the mode. - If missing details would change files, adapters, or public/private boundary,
use
.agents/skills/clarify-question-loop/SKILL.md. - Route to one core team member:
10-single-agent-builder;20-multi-agent-team-builder;30-agentlas-packager;40-session-agent-builder.
- Use
.agents/skills/agentlas-auto-activation/SKILL.mdwhen local project continuity or.agentlasactivation is part of the output. - Use
.agentlas/memory-map.jsonfor memory routing. - Use
.agentlas/global-commands.jsonfor generated command routing and final user handoff.
Default Behavior
Create or package portable Markdown-first Agentlas agents and teams with Codex, Claude Code, Antigravity, Cursor, and AGENTS.md adapters.
Global Command
This package exposes /hep-build, /hep-network, /hep-local,
/hep-cloud, and /hep-hub for Antigravity as workflows at
antigravity/workflows/hep-*.md (global install target
~/.gemini/antigravity/global_workflows/hep-*.md; project fallback
.agents/workflows/hep-*.md). Generated agents must receive their own
Antigravity workflow and a matching .agentlas/global-commands.json entry.
The Gemini CLI is no longer a supported host (its individual tier ended
2026-06-18; Antigravity is the successor).
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.
- 4d ago Changed · -1 lines · -13 tokens per session ae191bf4a5e9
- 1mo ago First seen · 61 lines · 693 tokens per session scan A c8765622d8c1
Agentlas-OS GEMINI.md is an instructions file published in the GitHub repository agentlas-ai/Agentlas-OS (1,613 stars, last pushed 3d ago), licensed Apache-2.0. It adds 680 tokens to every session, about $0.0027 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 2026-09-03.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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.