agent-manager-skill

A command workflow for coordinating several local command-line agents through tmux, a terminal tool that keeps multiple sessions running.

In plain words
What is it for?
Use it to check the agent setup, launch configured agents, assign tasks, follow their progress, and run scheduled jobs.
Why use it?
It helps split work among agents and start, assign, monitor, stop, or schedule them from one place.

Command

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.

agentmods
npx agentmods add commands/ccplugins/awesome-claude-code-plugins/agent-manager-skill
Clone the repo
git clone --depth 1 https://github.com/ccplugins/awesome-claude-code-plugins
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 291 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00034 $0.00291
Opus 5 $0.00017 $0.00146
Sonnet 5 $0.00007 $0.00058
Haiku 4.5 $0.00003 $0.00029

Measured yesterday against content hash 906dfd82a394, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-manager-skill 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 yesterday.

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.

plugins/agent-manager-skill/commands/agent-manager-skill.md · 49 lines

What it actually says

Usage

/agent-manager-skill <TASK>

Goal

Help the user run and coordinate multiple local agents in parallel using tmux.

Instructions

  1. Ask the user where agent-manager-skill is installed (or have them clone it):

    git clone https://github.com/fractalmind-ai/agent-manager-skill.git
    
  2. Run a quick environment check:

    python3 agent-manager/scripts/main.py doctor
    
  3. List configured agents:

    python3 agent-manager/scripts/main.py list
    
  4. Based on the user task ($ARGUMENTS), start/assign/monitor agents:

    python3 agent-manager/scripts/main.py start EMP_0001
    python3 agent-manager/scripts/main.py assign EMP_0001 <<'EOF'
    $ARGUMENTS
    EOF
    python3 agent-manager/scripts/main.py monitor EMP_0001 --follow
    

Output

  • Summarize which agents were started and what they are doing.
  • Provide the exact commands to reproduce.
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. yesterday First seen · 49 lines · 34 tokens per session scan A 906dfd82a394

Subscribe to this mod's changes

agent-manager-skill is a command published in the GitHub repository ccplugins/awesome-claude-code-plugins (926 stars, last pushed 19d ago), licensed Apache-2.0. It adds 34 tokens to every session and 291 once invoked, about $0.0002 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 2026-08-30.