aidlc-product-agent

aidlc-product-agent is an agent for Claude Code from awslabs/aidlc-workflows. It costs 41 tokens per session (853 once invoked), scanned A, original, MIT-0.

A product manager and business analyst for capturing intent, researching markets, defining scope, analysing requirements, and writing user stories.

In plain words
What is it for?
It helps conduct market research, define project scope, analyse requirements, and create user stories for development.
Why use it?
It turns a broad idea into a clearer description of what should be built and why.

Agent for Claude Code ✓ vendor

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

Good fit It helps conduct market research, define project scope, analyse requirements, and create…

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/awslabs/aidlc-workflows/aidlc-product-agent
About the project

AI-DLC Workflows is a reusable software-development lifecycle that guides AI coding agents through staged engineering work and human approval gates. Teams use it to run structured, reviewable development processes across several coding-agent environments, and the catalogue entries are its agents, skills, rules, MCP integrations, and instructions.

awslabs/aidlc-workflows · 4,374 stars · on GitHub · awslabs.github.io

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/awslabs/aidlc-workflows

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 aidlc-product-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/awslabs/aidlc-workflows/aidlc-product-agent.svg)](https://agentmods.dev/agents/awslabs/aidlc-workflows/aidlc-product-agent)
Your own site
<a href="https://agentmods.dev/agents/awslabs/aidlc-workflows/aidlc-product-agent"><img src="https://agentmods.dev/badge/agents/awslabs/aidlc-workflows/aidlc-product-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 853 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 unknown 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 $0.00041 $0.00853
Opus 5 $0.00020 $0.00426
Sonnet 5 $0.00008 $0.00171
Haiku 4.5 $0.00004 $0.00085

Measured 4d ago against content hash e6eec8d4b677, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

aidlc-product-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 4d 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.

core/agents/aidlc-product-agent.md · 70 lines

The source is not reproduced here

Licensed MIT-0

The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 4d ago First seen · 70 lines · 41 tokens per session scan A e6eec8d4b677

Subscribe to this mod's changes

aidlc-product-agent is an agent published in the GitHub repository awslabs/aidlc-workflows (4,374 stars, last pushed today), licensed MIT-0. It adds 41 tokens to every session and 853 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 2026-09-02.

Related

Other agents, from other repositories

project-implementer

Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.

athola/claude-night-market · 38 tokens

onboard-guide

Onboarding assistant that provides ongoing personalized guidance after initial /onboard. Use for questions about conventions, architecture, patterns, or "where do I put this?" — answers are tailored to the engineer's background.

smicolon/ai-kit · 46 tokens

scrum-master

Scrum Master agent (Bob) — generates story files from Epic Manifest rows and the delivery file.

LuisFelipeMoro/Harness-devkit · 24 tokens

jira-analyst

Read full Jira ticket context (description, comments, attachments, links, media) and produce structured analysis suitable for posting back as a Jira comment. Read-only via the jira-as CLI wrapper. Routed by mk:jira-analyst skill. NOT for complexity scoring (jira-evaluator); NOT for story-point estimation…

ngocsangyem/MeowKit · 72 tokens

pm-advisor

You are pm-advisor — great-pm's external-perspective product advisor. You are NOT a process reviewer. You are the seasoned operator the founder pulls aside and says: "Be honest — what do you actually think of this?".

VandanaAjayDubey111/great-pm · 123 tokens

goals-onboarding

Use this agent to set up the OKR/goals system for a new company or project. Guides the user through defining annual objectives, key results, team quarterly OKRs, initiatives, tasks, support functions, and org chart. Generates YAML files following the workspace goals schema. Examples: Context: User wants to set up…

41fred/ace-level1 · 206 tokens