open-agent-teams

open-agent-teams is a skill for Claude Code, Codex from gabrielmoreira/agent-skills-mirror. It costs 95 tokens per session (1,383 once invoked), scanned A, original, MIT.

A guide for running another command-line AI agent in a separate tmux session and coordinating its work through files. It defines a completion signal and a result file so the main agent can detect and review the delegated task.

In plain words
What is it for?
Use it to delegate coding or research tasks to Claude, Codex, Aider, or another command-line agent. It helps start sessions, pass prompts, wait for completion, and collect a written summary.
Why use it?
It lets agents delegate work while keeping progress and completion status trackable. The file-based protocol avoids losing completion messages when no one is waiting at the exact moment they are sent.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for aider. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

Good fit Use it to delegate coding or research tasks to Claude, Codex, Aider, or another command-line agent. It helps start sessions, pass prompts, wait for completion, and collect a written summary.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gabrielmoreira/agent-skills-mirror/open-agent-teams
Install

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.

Any agent
npx skills add gabrielmoreira/agent-skills-mirror --skill open-agent-teams
Clone the repo
git clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirror

Made for: Claude Code, Codex.

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.

agentmods badge for open-agent-teams

README.md
[![agentmods](https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/open-agent-teams/github.svg)](https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/open-agent-teams)
Your own site
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/open-agent-teams"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/open-agent-teams/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.

agentmods 80×15 button for open-agent-teams

Your own site · 80×15
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/open-agent-teams"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/open-agent-teams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,383 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00095 $0.01383
Opus 5 $0.00048 $0.00691
Sonnet 5 $0.00019 $0.00277
Haiku 4.5 $0.00010 $0.00138

Measured 9d ago against content hash 5372ff9a15e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

open-agent-teams 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.

mirrors/repos/AI-Builder-Club@skills/skills/open-agent-teams/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

open-agent-teams

Run any CLI agent as an executor inside a detached tmux session. Communication is: prompt in via CLI arg / send-keys, completion out via a file sentinel the agent touches, summary out via a result file the agent writes. File sentinels are used instead of tmux wait-for because a wait-for -S with no waiter is silently lost; files never race and allow timeouts.

All commands via the helper (make sure it runs from the skill dir):

SKILL_DIR/scripts/tdel

Initial setup (once per repo)

If the repo's CLAUDE.md (or AGENT.md) has no delegation rules yet, add the contents of references/CLAUDE.delegation-template.md to it — it defines the coordinator/executor roles and the ROLE: EXECUTOR prompt marker used below.

Workflow

  1. Start an agent on a task:

    tdel start <session> "<agent-cmd>" "<prompt>"
    # e.g. tdel start hello "claude --dangerously-skip-permissions" "make a hello world page"
    

    This appends the done-protocol to the prompt automatically (write summary to result file, then touch the done file).

  2. Wait for completion — ALWAYS via a background Bash task so you get woken up instead of blocking or polling:

    tdel wait <session> [timeout-sec]     # run with run_in_background: true
    

    Exit 0 = done (prints the agent's summary). Exit 124 = timeout (prints last pane lines for diagnosis). Non-zero also if the session died.

  3. Review the output (tdel result <session>, plus inspect the actual files the agent changed). If iteration is needed:

    tdel send <session> "<feedback / next instruction>"
    tdel wait <session>                   # again, run_in_background
    

    Each send is a new turn with its own done/result files — no signal cross-talk between turns.

  4. Debug a stuck or slow agent: tdel peek <session> [lines] shows the live pane. tdel status lists all sessions.

  5. Stop when finished: tdel stop <session> (kills the session and removes state under /tmp/agent-delegate/<session>).

Read the full file on GitHub · 73 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 73 lines · 95 tokens per session scan A 5372ff9a15e0

Subscribe to this mod's changes

open-agent-teams is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 95 tokens to every session and 1,383 once invoked, about $0.0005 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 2026-09-03.

Related

Other skills, from other repositories