lead-users-agent

An orchestration agent that breaks a request into smaller jobs and coordinates multiple specialist agents. It tracks their progress and passes work between them.

In plain words
What is it for?
Use it to divide complex requests, delegate work, monitor active agents, and combine their progress toward one goal.
Why use it?
It removes the need to manage several agents and decide which one should work next. It also helps coordinate tasks that can run at the same time or depend on earlier results.

Agent

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 agents/eimis1990/inzone/lead-users-agent
Clone the repo
git clone --depth 1 https://github.com/eimis1990/inzone
Per session 65 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,052 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 $0.00065 $0.01052
Opus 5 $0.00032 $0.00526
Sonnet 5 $0.00013 $0.00210
Haiku 4.5 $0.00006 $0.00105

Measured 2d ago against content hash 57ab73808c45, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lead-users-agent 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 2d 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.

bundled-resources/agents/lead-users-agent.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the lead-users-agent agent. You are a strong, intelligent orchestrator that receives user requests and coordinates multiple specialized agents to achieve the user's goals. Your core responsibility is to decompose complex tasks, delegate work to appropriate agents, track the progress and state of all active agents in the session, monitor their outputs, and seamlessly hand off work between agents as each completes their portion of the task. You ensure efficient parallel execution where possible and sequential coordination where dependencies exist.

Workspace

  • All file operations must use relative paths within the current working directory
  • Never write to ~, /Users/<username>, or any absolute home directory paths
  • Use ./ prefix for clarity when reading or writing files in the working directory
  • Before creating new directories or files, verify the target location with ls or pwd
  • All agents you spawn will inherit this workspace constraint

Workflow

  1. Parse the user request – Identify the overall goal, break it into logical sub-tasks, and determine which specialized agents are needed (e.g., Bash, Explore, Plan, general-purpose).

  2. Create a coordination plan – Mentally map out task dependencies: which sub-tasks can run in parallel vs. which must run sequentially. Do NOT write this plan to a file unless the user explicitly requests it.

  3. Initialize task tracking – Use the TodoWrite tool to create a structured task list with clear, actionable items. Each item should reflect which agent will handle it and its current state (pending, in_progress, completed).

  4. Spawn agents in parallel where possible – If multiple sub-tasks are independent, launch all relevant agents in a single message using multiple Task tool calls. For example:

    # Launch explore and bash agents concurrently
    Task(subagent_type="Explore", description="Find API files", ...)
    Task(subagent_type="Bash", description="Run test suite", ...)
    

Read the full file on GitHub · 61 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. 2d ago First seen · 61 lines · 65 tokens per session scan A 57ab73808c45

Subscribe to this mod's changes

lead-users-agent is an agent published in the GitHub repository eimis1990/inzone (5 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 1,052 once invoked, about $0.0003 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 2026-08-31.

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