agentor: Instructions file for Claude Code

CLAUDE.md

agentor CLAUDE.md is an instructions file for Claude Code from lonetis/agentor. It costs 4,928 tokens per session, scanned A, original, MIT.

Project instructions for Agentor, a system that runs AI coding agents in separate Docker containers and provides a web dashboard for using them. They describe its architecture, technology choices, and development commands.

In plain words
What is it for?
Use them when developing or maintaining Agentor, including its worker containers, web interface, terminal connections, code editor, reverse proxy, resource monitoring, import and export, and update system.
Why use it?
They give contributors the context needed to change the orchestrator without overlooking how its dashboard, workers, terminals, editors, networking, and monitoring connect.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions Claude Code; reads ~/.codex paths.

This is lonetis/agentor's own configuration. It tells Claude Code how to work on agentor 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 agentor configures →

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/agent/.agent-data.

Reuse

Borrowing it

Nothing to install: this file belongs to lonetis/agentor. 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/lonetis/agentor/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/lonetis/agentor

Made for: Claude Code.

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.

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README.md
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Per session 4,928 This file is loaded in full into every session.
When invoked 4,928 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.04928 $0.04928
Opus 5.5 $0.01971 $0.01971
Sonnet 5.5 $0.00986 $0.00986
Haiku 4.5 $0.00493 $0.00493

Measured 4d ago against content hash cc4d48483b63, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentor CLAUDE.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Worker (curl) <--HTTP/JSON--> Orchestrator (/api/worker-self/*, identified by Docker source IP)
CLAUDE.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Orchestrator (Agentor)

Docker orchestrator that spawns isolated AI coding agent workers, each in its own container with terminal access via a web dashboard. All agent CLIs (Claude, Codex, Antigravity) are pre-installed in a single unified worker image. Includes a modular app system (Chromium, SOCKS5 proxy, VS Code Tunnel, SSH server), a unified Traefik reverse proxy for both TCP port mappings and HTTP/HTTPS/TCP domain routing, GitHub / GitLab integration (gitlab.com + any number of self-managed GitLab servers via GITLAB_INSTANCES; one provider-agnostic repo/branch API and picker, per-user tokens, gh / glab signed in inside workers, per-environment enabledGitProviderIds selection that keeps the other providers' credentials out of workers, e.g. all of them for untrusted code — see @docs/worker.md → Git Provider System and @docs/environments.md → Git Provider Access), a VS Code editor (code-server), live per-worker resource monitoring (CPU/RAM/disk/network via the Docker API), worker export/import (portable .tar bundles incl. an optional docker export of the filesystem), an OAuth-protected MCP server (/mcp) whose tools are generated from the REST API's OpenAPI spec so an AI agent can control the whole platform, and an automatic update mechanism for production deployments.

Architecture

Worker (curl)            <--HTTP/JSON--> Orchestrator (/api/worker-self/*, identified by Docker source IP)
Browser (Vue 3/Nuxt UI) <--HTTP/JSON--> Orchestrator (Nuxt 3/Nitro) <--dockerode exec--> Worker (tmux/agent)
Browser (xterm.js)       <--WebSocket--> Nitro (crossws)             <--docker stream--> Worker (tmux)
Browser (noVNC iframe)   <--HTTP/WS----> Nitro (proxy)               <--HTTP/WS-------> Worker (websockify <--> x11vnc <--> Xvfb)
Browser (code-server)    <--HTTP/WS----> Nitro (proxy)               <--HTTP/WS-------> Worker (code-server on port 8443)
Local VS Code            <--tunnel-----> Microsoft Relay              <--tunnel--------> Worker (vscode app → code tunnel)
Local ssh client         <--TCP--------> Traefik (ext :22xxx)         <--TCP-----------> Worker (ssh app → sshd :22)
Orchestrator             <--docker exec-> apps/*/manage.sh (start/stop/list app instances in worker)
Orchestrator (TraefikManager) <--dockerode--> Traefik container (unified reverse proxy: port mappings + domain routing, TLS)
MCP client (AI agent)    <--OAuth 2.1----> better-auth (@better-auth/mcp: /api/auth/oauth2/*, /.well-known/*)
MCP client (AI agent)    <--HTTP /mcp----> MCP server (SDK v2) --loopback HTTP--> REST routes (tools generated from OpenAPI)

Read the full file on GitHub · 140 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. 4d ago Changed · +2 lines · +190 tokens per session cc4d48483b63
  2. 22d ago Changed · +2 lines · +265 tokens per session 8e1a81cb399c
  3. 29d ago Changed · +7 lines · +441 tokens per session 0ae20a9ab7dc
  4. 1mo ago Changed f011df8c3745
  5. 1mo ago Changed · +6 tokens per session ea560779100d
  6. 2mo ago First seen · 129 lines · 4,026 tokens per session scan A ea9670f1074d

Subscribe to this mod's changes

agentor CLAUDE.md is an instructions file published in the GitHub repository lonetis/agentor (10 stars, last pushed 4d ago), licensed MIT. It adds 4,928 tokens to every session, about $0.0197 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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