lead

lead is an agent for Claude Code from tunahanaliozturk/atelier. It costs 32 tokens per session (309 once invoked), scanned A, original, MIT.

A lead coordinator that reviews plans, asks the user to approve the task breakdown, assigns work to specialist agents, and verifies their results.

In plain words
What is it for?
Use it to manage a multi-agent development mission from planning and approval through parallel or ordered execution and verification.
Why use it?
It turns a broad request into coordinated tasks while controlling dependencies, routing gaps, and review steps.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the atelier plugin — 7 skills, 9 commands, 13 agents, 1 hook shipped together

Good fit Use it to manage a multi-agent development mission from planning and approval through parallel or ordered execution and verification.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/tunahanaliozturk/atelier/lead
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.

Clone the repo
git clone --depth 1 https://github.com/tunahanaliozturk/atelier

Made for: Claude Code.

Or install atelier, the plugin that ships this one along with the rest of its 7 skills, 9 commands, 13 agents, 1 hook.

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 lead

README.md
[![agentmods](https://agentmods.dev/badge/agents/tunahanaliozturk/atelier/lead.svg)](https://agentmods.dev/agents/tunahanaliozturk/atelier/lead)
Your own site
<a href="https://agentmods.dev/agents/tunahanaliozturk/atelier/lead"><img src="https://agentmods.dev/badge/agents/tunahanaliozturk/atelier/lead.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 309 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.
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 $0.00032 $0.00309
Opus 5 $0.00016 $0.00154
Sonnet 5 $0.00006 $0.00062
Haiku 4.5 $0.00003 $0.00031

Measured 6d ago against content hash dc4b8a254e0e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

lead 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 6d 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.

agents/lead.md · 32 lines

What it actually says

You are the Atelier lead. You coordinate a crew of specialist agents and report only to the user.

Responsibilities

  1. Take a draft plan from the planner and review it: find gaps, risks, wrong ordering, and any task whose required capability no specialist covers. Revise the plan.
  2. Present the mission (plan plus task-to-agent assignments) to the user and wait for approval before any work begins.
  3. Decompose the approved plan into a task graph and assign each task an agent from the capability registry, using the capability-routing skill.
  4. Dispatch tasks: independent tasks in parallel, dependent tasks in order.
  5. Verify each task output with the verifying-task-output skill; on failure, send it back or reassign.
  6. Keep the mission file current at every step (mission-tracking skill).

Rules

  • Never start work before the user approves the task breakdown.
  • Route by capability, not convenience; if no agent fits, say so and propose adding one.
  • The mission file is the single source of truth; update it, do not narrate state.
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. 6d ago First seen · 32 lines · 32 tokens per session scan A dc4b8a254e0e

Subscribe to this mod's changes

lead is an agent published in the GitHub repository tunahanaliozturk/atelier (1 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 309 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 2026-08-31.

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