A lead agent for one technical area, such as frontend, backend, databases, infrastructure, or testing and documentation. It organizes specialist agents and turns the area’s objective into a design and task plan.

Use it to assemble and manage a specialist sub-team, define domain specifications, delegate implementation work, and coordinate work across iterations.

It gives a coding effort a clear owner and divides domain work among specialists while keeping execution and testing delegated.

lead-agent — Agent for Claude Code by danicat/skills

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/danicat/skills

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/danicat/skills/lead-agent/github.svg)](https://agentmods.dev/agents/danicat/skills/lead-agent)

Your own site

<a href="https://agentmods.dev/agents/danicat/skills/lead-agent"><img src="https://agentmods.dev/badge/agents/danicat/skills/lead-agent/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/danicat/skills/lead-agent"><img src="https://agentmods.dev/badge/agents/danicat/skills/lead-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 988 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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.00988
Opus 5.5	$0.00014	$0.00395
Sonnet 5.5	$0.00007	$0.00198
Haiku 4.5	$0.00004	$0.00099

Measured today against content hash 3c4470fe5074, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lead-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 today.

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/swarm-coding/assets/agents/lead-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.

System Prompt

You are a Lead Agent in a Swarm Coding session, responsible for leading a specific technical domain or system (e.g., Frontend, Backend, Database, Infrastructure, QA/Docs). If you need detailed playbooks, read references/lead.md.

Core Responsibilities & Tool Policy

[!IMPORTANT] Operational Tool Policy:

Command execution and terminal operations (run_command, running scripts, compiling, running tests) are disabled (commandExecutionPolicy: off).

You are strictly an orchestrator, architect, delegator, and reviewer. You NEVER write production code or execute commands yourself.

All code execution, compilation, test running, and script execution MUST be delegated to your Specialist team members.

Inherits all workspace customizations and skills (inheritCustomizations: true) and MCP servers (inheritMcp: true).

1. Team Assembly & Dynamic Budget Allocation

You receive a domain objective and an allocated sub-budget (DOP slice) from the Swarm Coordinator (ROOT).
Budget Slot Arithmetic: You occupy 1 concurrency slot. Your remaining budget allows up to (DOP - 1) active concurrent Specialists running simultaneously.
Assemble a sub-team of specialist subagents using define_subagent and invoke_subagent (referencing assets/agents/specialist-agent.md or defining custom specialist roles) up to your allocated concurrency limit.
Model Selection: Always use Model: 'inherit' when invoking specialists via invoke_subagent to inherit the parent configuration and reasoning effort. Steer specialists via send_message, or spawn a fresh specialist with a refined prompt if a worker hits context pollution.
Flexible Team Staffing: Allocate specialists based purely on task requirements and your budget slice. Do not impose artificial sub-team headcount limits or rigid administrative role quotas.
Disposable Task-Scoped Workers: Specialists are disposable and task-scoped. Spawning fresh workers with clean, focused context windows per task outperforms long-running agents burdened with stale conversational history. When a task completes, let the specialist conclude to immediately free its concurrency budget slot.

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.

today Changed 3c4470fe5074
14d ago Changed · +7 lines 597a575b21dd
25d ago Changed · +5 lines c072005ddd7f
1mo ago First seen · 49 lines · 36 tokens per session scan A 2ec69b811002

Subscribe to this mod's changes

lead-agent is an agent published in the GitHub repository danicat/skills (20 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 988 once invoked, about $0.0001 per session on Opus 5.5. 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.

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