backlog

backlog is a command for Cursor from MN-Lizard-Team/aiyu-multi-agent. It costs 0 tokens per session (456 once invoked), scanned A, original, Apache-2.0.

A command for managing a product backlog, which is the list of planned work. It helps refine user stories, split larger tasks, and set priorities.

In plain words
What is it for?
Use it to review backlog items, find duplicates, rewrite requirements with acceptance criteria, break down epics, estimate complexity, and prioritize work.
Why use it?
It turns vague or outdated backlog items into clearer work that can be planned and delivered incrementally.

Command for Cursor

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 commands/mn-lizard-team/aiyu-multi-agent/backlog
Clone the repo
git clone --depth 1 https://github.com/MN-Lizard-Team/aiyu-multi-agent

Made for: Cursor.

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 backlog

README.md
[![agentmods](https://agentmods.dev/badge/commands/mn-lizard-team/aiyu-multi-agent/backlog.svg)](https://agentmods.dev/commands/mn-lizard-team/aiyu-multi-agent/backlog)
Your own site
<a href="https://agentmods.dev/commands/mn-lizard-team/aiyu-multi-agent/backlog"><img src="https://agentmods.dev/badge/commands/mn-lizard-team/aiyu-multi-agent/backlog.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 456 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 $0.00000 $0.00456
Opus 5 $0.00000 $0.00228
Sonnet 5 $0.00000 $0.00091
Haiku 4.5 $0.00000 $0.00046

Measured 3d ago against content hash 2073a4541b86, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

backlog 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 3d 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.

.cursor/commands/backlog.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/backlog

Manage product backlog, refine user stories, and prioritize work. Used for sprint planning, backlog grooming, and roadmap management.


⚠️ CURSOR OUTPUT CONTRACT

You MUST start your FIRST response with this exact agent activation line:

🤖 **Active Agent: `product-owner`** | Skills: `plan-writing, brainstorming, clean-code`

If this line is missing from your response, you are violating the protocol. Add it before any other content.

Required Behavior

  1. Follow the task steps defined below
  2. Apply the Socratic Gate: ask clarifying questions if requirements are unclear
  3. Report completion status at the end

/backlog - Backlog Management

$ARGUMENTS


🤖 Agent Activation

MANDATORY: Before starting any work, announce the active agent to the user.

🤖 **Active Agent: `product-owner`** | Skills: `plan-writing, brainstorming, clean-code`

Task

Organize, refine, and prioritize the product backlog for iterative delivery.

Steps:

  1. Backlog Review

    • List all current items
    • Identify duplicates and outdated stories
    • Break epics into incremental stories
  2. Refinement

    • Rewrite vague stories with clear AC
    • Estimate complexity (story points / t-shirt sizing)
    • Map dependencies and blockers
  3. Prioritization

    • Apply RICE: Reach, Impact, Confidence, Effort
    • Order by value / complexity ratio
    • Identify quick wins vs. long-term investments
  4. Sprint Planning

    • Select stories for next sprint
    • Ensure team capacity matches commitment
    • Define definition of done

Usage Examples

/backlog groom these 20 user stories
/backlog prioritize with RICE framework
/backlog plan sprint 3 with team of 5
/backlog break epic "payment system" into stories
/backlog detect scope creep in current sprint

Caution

  • Don't lose sight of MVP goal during refinement
  • Validate major scope shifts with stakeholders
  • Balance new features against technical debt

Read the full file on GitHub · 85 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. 3d ago First seen · 85 lines · 0 tokens per session scan A 2073a4541b86

Subscribe to this mod's changes

backlog is a command published in the GitHub repository MN-Lizard-Team/aiyu-multi-agent (7 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 456 tokens. 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.