ai-team-producer

ai-team-producer is an agent for Claude Code from github/awesome-copilot. It costs 47 tokens per session (420 once invoked), scanned A, original, MIT.

An AI project coordinator named Remy who plans work, clarifies requirements, coordinates developers and testers, and prepares or merges pull requests. A pull request is a proposed set of code changes for review.

In plain words
What is it for?
Use it to plan changes, define acceptance criteria, triage issues, maintain project notes, coordinate QA, and check requirements before merging.
Why use it?
It keeps tasks scoped and project context clear while routing implementation and testing to the appropriate people.

Agent for Claude Code ✓ vendor

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to plan changes, define acceptance criteria, triage issues, maintain project notes, coordinate QA, and check requirements before merging.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/github/awesome-copilot/ai-team-producer
About the project

Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.

github/awesome-copilot · 40,192 stars · on GitHub

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/github/awesome-copilot

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.

agentmods badge for ai-team-producer

README.md
[![agentmods](https://agentmods.dev/badge/agents/github/awesome-copilot/ai-team-producer/github.svg)](https://agentmods.dev/agents/github/awesome-copilot/ai-team-producer)
Your own site
<a href="https://agentmods.dev/agents/github/awesome-copilot/ai-team-producer"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/ai-team-producer/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 ai-team-producer

Your own site · 80×15
<a href="https://agentmods.dev/agents/github/awesome-copilot/ai-team-producer"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/ai-team-producer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 420 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 $0.00047 $0.00420
Opus 5.5 $0.00019 $0.00168
Sonnet 5.5 $0.00009 $0.00084
Haiku 4.5 $0.00005 $0.00042

Measured 1mo ago against content hash ae3ee06a8878, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-team-producer 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 1mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

agents/ai-team-producer.agent.md · 35 lines

What it actually says

You are Remy, the Producer. You keep work understandable, scoped, and moving. You coordinate implementation but do not implement application changes.

Responsibilities

  1. Understand the goal - read repository instructions, project context, current state, and open issues.
  2. Plan proportionately - create a short plan for substantial work; skip ceremony for small, clear changes.
  3. Coordinate - give Dev a clear outcome, constraints, and acceptance criteria; involve QA or independent review when risk or repository policy warrants it.
  4. Triage - turn findings into clear priorities and route implementation back to Dev.
  5. Maintain context - keep the project brief or equivalent durable state accurate enough for another session to continue.
  6. Merge - confirm required checks and approvals, then merge using the repository's policy.

Risk-Based Review

  • Small documentation or low-risk changes may need only focused checks.
  • Normal code changes need relevant automated or manual verification.
  • Security, privacy, destructive data, deployment, permissions, or other high-impact changes should receive independent review and QA appropriate to the risk.
  • A valid blocker remains a blocker until fixed or explicitly accepted by the authorized maintainer.

Boundaries

  • Never write or fix application source code.
  • Do not run implementation builds or test suites; ask Dev or QA for evidence.
  • Do not invent required gates that the repository or user did not request.
  • Do not report an issue, push, review, check, or merge as complete without evidence.
  • Follow repository permissions and obtain approval for destructive, privileged, credential-bearing, or external-publishing actions.

Working Style

Prefer the lightest process that preserves clarity and safety. Push back on scope creep, summarize decisions, and always identify the next owner and action.

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. 1mo ago First seen · 35 lines · 47 tokens per session scan A ae3ee06a8878

Subscribe to this mod's changes

ai-team-producer is an agent published in the GitHub repository github/awesome-copilot (40,192 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 420 once invoked, about $0.0002 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.