Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/lonetis/agentor/claude-mdgit clone --depth 1 https://github.com/lonetis/agentorWrote 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/lonetis/agentor/claude-md)<a href="https://agentmods.dev/instructions/lonetis/agentor/claude-md"><img src="https://agentmods.dev/badge/instructions/lonetis/agentor/claude-md.svg" alt="Measured on agentmods" 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 | $0.04026 | $0.04026 |
| Opus 5 | $0.02013 | $0.02013 |
| Sonnet 5 | $0.00805 | $0.00805 |
| Haiku 4.5 | $0.00403 | $0.00403 |
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) How it starts
The opening of the file, as written. The whole thing — 129 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, Gemini) 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, 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), 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)
Three managed containers:
- Orchestrator: Nuxt 3 app (SPA mode) with Nitro server, serving dashboard + managing workers and the Traefik container via Docker socket
- Traefik: Unified reverse proxy container handling both TCP port mappings (one dedicated entrypoint per mapping) and HTTP/HTTPS/TCP domain routing with Let's Encrypt or self-signed TLS. Managed by the orchestrator — created when any port/domain mapping or dashboard subdomain is configured, removed when empty. Port mappings work without
BASE_DOMAINS; domain mappings require it. The reconcile is misconfig-safe: a mapping whose host port can't be bound (occupied, or the reserved 80/443 while domain routing is active) is rejected with 409 and rolled back out of the store, and a failed (re)create rolls Traefik back to its last-good config — so a bad mapping never wedges Traefik or locks the operator out of the dashboard (see @docs/networking.md → Reconcile Robustness). - Workers: Single unified Docker image (
agentor-worker, Ubuntu 24.04) with all agent CLIs pre-installed, running in tmux, plus an integrated display stack (Xvfb + fluxbox + x11vnc + noVNC on port 6080), code-server (VS Code on port 8443), Chromium, and apps — Chromium with CDP, SOCKS5 proxy, VS Code Tunnel (native VS Code client via Microsoft relay), and OpenSSH server (port 22). Each worker is a single container with all agents available. Three persistent volumes per worker: workspace (/workspace), agent config data (/home/agent/.agent-data— symlinked to~/.claude,~/.gemini,~/.codex,~/.agents,~/.claude.json), and optionally DinD (/var/lib/docker). Worker identity is a stable UUIDid(server-minted UUID v4 — the WorkerStore key and theagentor.idlabel, stable across rebuild/unarchive); the Docker container id (containerId) changes on every rebuild and is resolved fromidon demand. The derivedcontainerName = agentor-worker-<id>is the Docker container name, the prefix for per-worker volume names, and the DNS name Traefik routes to. No customHostnameis set, so the in-container shell prompt shows the docker short container id, not the UUID. The image reference isimageName(+imageId). A separate editabledisplayNameis the user-facing label shown in the dashboard (free-form, not required to be unique). All worker settings are editable post-creation viaPATCH /api/containers/:idfrom the Worker Settings modal (the Settings pencil / card title):displayNameis applied to the running worker immediately (no rebuild needed), whileenvironmentId,repos,mounts, andinitScriptare baked into the container at create time, so editing them updates the stored config and flags the workerpendingRebuilduntil the next rebuild (which re-resolves from the stored config and clears the flag). Environment-specific settings (CPU/memory, network, Docker, capabilities, instructions, setup script, env vars) are edited in the Environments modal, not the worker modal. The persistedWorkerRecord(workers.json) is minimal: it stores only what cannot be discovered from Docker at runtime — the worker's own settings (displayName,status,repos,mounts,initScript,pendingRebuild), foreign keys (userId,environmentId), and base fields (id/createdAt/updatedAt/archivedAt). Everything describing the live Docker container —containerId,containerName(agentor-worker-<id>),imageName,imageId, and the running/stopped state — is not persisted; it is resolved at runtime inContainerManager.sync()by matching theagentor.idlabel (and, for archived workers with no container, derived from the id). The one image-related exception isimportedImage: a worker restored from an export that captured the source filesystem persists the per-workeragentor-import-<id>image reference (a config choice, not a discoverable label) so the captured rootfs survives rebuild/unarchive; it is removed on permanent delete. The runtimeContainerInforeturned by the API is the record merged with that discovered Docker data, so it still carries those fields. The environment config and the git identity (name/email) are likewise resolved live at build time from theEnvironmentStore/ the owning user, never copied onto the worker. There is no per-worker resource-limit override; limits come from the environment. Resource metrics are per-worker only (no host/system metrics — those are OS/runtime-dependent), served by an in-memoryResourceMonitorsingleton entirely via the Docker API: cpu/mem/net fromcontainer.stats, disk from the writable layer (SizeRw) + aduof the worker's volumes (GET /api/worker-metrics,POST /api/worker-metrics/refresh,GET /api/containers/:id/metrics). No host bind mounts needed. Worker export/import (GET /api/containers/:id/export,POST /api/containers/import) bundles the worker's config + environment + mappings + workspace/agent volumes (+ optionaldocker exportrootfs) into a portable.tarand restores it as a fresh worker. See @docs/production.md.
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 First seen · 129 lines · 4,026 tokens per session scan A ea9670f1074d
agentor CLAUDE.md is an instructions file published in the GitHub repository lonetis/agentor (7 stars, last pushed 2mo ago), licensed MIT. It adds 4,026 tokens to every session, about $0.0201 per session on Opus 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.
Other instructions, from other repositories
the-hive CLAUDE.md
Instructions for KHAEntertainment/the-hive, covering claude code configuration - the hive live repository, 🏗️ repository structure, repository purpose, cross-workspace coordination and 🚨 critical: public repository guidelines.
aider-desk AGENTS.md
AGENTS.md instructions for hotovo/aider-desk, covering agents.md, common commands, development, type checking and linting and formatting.
llm-context.py CLAUDE.md
Instructions for cyberchitta/llm-context.py, covering claude.md, working notes (gitignored) and draining the field notes.
gemini-cli-desktop AGENTS.md
Instructions for Piebald-AI/gemini-cli-desktop, a project described as: Web/desktop UI for Gemini CLI/Qwen Code. Manage projects, switch between tools, search across past conversations, and manage MCP servers, all from one multilingual interface, locally or remotely.
cordon AGENTS.md
AGENTS.md instructions for ilyautov/cordon, covering working in this repository, the three invariants, the map, commands and tests.
everything-gemini-code GEMINI.md
Gemini CLI instructions for Jamkris/everything-gemini-code, covering project instructions, prompt defense baseline and guidelines.