product-os: Command for Claude Code

.claude/commands/weekly-review.md

weekly-review is a command for Claude Code from motorway-sandbox/product-os. It costs 0 tokens per session (4,522 once invoked), scanned A, original, MIT.

A command for a product manager's end-of-week review. It compares progress with goals, checks stale work and working habits, reviews development and automation use, and sets the next period's goals.

In plain words
What is it for?
Use it to review the previous week's goals and work, record lessons and actions, and plan the coming week using the manager's team and product context.
Why use it?
It gathers scattered work and reflection into one regular review. This makes unfinished work, risks, personal development needs, and next actions easier to see.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: reads .claude/ paths; names the AskUserQuestion tool; mentions Claude Code.

This is motorway-sandbox/product-os's own configuration. It tells Claude Code how to work on product-os itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything product-os configures →

Reuse

Borrowing it

Nothing to install: this file belongs to motorway-sandbox/product-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/motorway-sandbox/product-os/main/.claude/commands/weekly-review.md
Clone the repo
git clone --depth 1 https://github.com/motorway-sandbox/product-os

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 weekly-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/motorway-sandbox/product-os/weekly-review/github.svg)](https://agentmods.dev/commands/motorway-sandbox/product-os/weekly-review)
Your own site
<a href="https://agentmods.dev/commands/motorway-sandbox/product-os/weekly-review"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/weekly-review/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 weekly-review

Your own site · 80×15
<a href="https://agentmods.dev/commands/motorway-sandbox/product-os/weekly-review"><img src="https://agentmods.dev/badge/commands/motorway-sandbox/product-os/weekly-review.svg" alt="Reviewed on agentmods" width="80" 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 4,522 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 $0.00000 $0.04522
Opus 5 $0.00000 $0.02261
Sonnet 5 $0.00000 $0.00904
Haiku 4.5 $0.00000 $0.00452

Measured 6d ago against content hash fa20fe3e1e0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

weekly-review 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.

.claude/commands/weekly-review.md · 416 lines

How it starts

The opening of the file, as written. The whole thing — 416 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Weekly Review

End-of-week review: assess progress against goals, detect stale work, evaluate how you operated, check in on how you're feeling, review development priorities and AI/automation usage, identify actions, and set goals for the next period.

Instructions

Step 0: Parse arguments

  • The user provides arguments in the format: $ARGUMENTS
  • Expected format: {initials} (e.g. CR or JK)
  • If no arguments are provided, check the auto-memory (MEMORY.md) for the user's initials before asking
  • Use initials for all file paths (e.g. team/{initials}/todo_list.md, team/{initials}/weekly-reviews/)
  • From the auto-memory or team context, identify:
    • The PM's name and role/level (e.g. Product Director, Senior PM, Lead PM)
    • Their development priorities if known (from performance reviews, coaching notes, etc.)
    • Their team/squad and the outcome metric they own (from context/current-priorities.md)

Step 1: Gather data

Pull from all available sources. Run independent queries in parallel.

  1. Previous weekly review — Check team/{initials}/weekly-reviews/ for the most recent review file. Read it to get:
    • Last week's goal(s) — this is what you'll assess progress against
    • Themes or issues flagged last week — check if they recurred
    • Any monthly/quarterly goals if previously set
    • Previous development priority ratings and AI/automation observations — check for trends
  2. Todo list — Read team/{initials}/todo_list.md and identify:
    • Items marked as done ([x]) — this week's completions
    • Items marked as dropped ([-]) — removed because no longer needed
    • Items still open — note overdue or expected-this-week items
  3. Git history — Run git log --since="7 days ago" --oneline --stat to see what was committed this week
  4. Recently modified files — Run git diff --stat HEAD@{7.days.ago}..HEAD to understand scope of changes
  5. Remote sync check — Run git fetch then git status to check if the current branch is behind its remote tracking branch. If there are remote changes not reflected locally, flag this to the PM before proceeding
  6. Meetings — Use mcp__claude_ai_Granola__list_meetings with this_week and last_week to get all meetings from the past 7 days. Then use mcp__claude_ai_Granola__get_meetings (batch, up to 10 IDs per call) to pull notes and summaries from each. If a meeting's notes are sparse (just a few words or empty), use mcp__claude_ai_Granola__get_meeting_transcript to pull the full transcript and summarise key points instead
  7. Current priorities — Read context/current-priorities.md to understand team goals and Q-level priorities this PM is responsible for
  8. Goals — Read team/{initials}/me/goals.md for monthly, quarterly, and development priorities
  9. Achievements — Read team/{initials}/me/achievements.md for current state
  10. Decision log — Read team/{initials}/decision-log.md (if it exists) for this week's decisions and unresolved follow-ups
  11. Recurring meeting context — Read files in team/{initials}/recurring-meeting-context/ for carry-forward item trends
  12. Claude Code usage — Read the auto-memory files. List the commands in .claude/commands/. Review git history for patterns in what Claude was used for (command runs, file types created/edited, research vs execution). Check .claude/commands/ and scripts/ for new or modified automations
  13. Quarterly tracking changes — Check for team/{initials}/quarterly-tracking-changes-*.md files from this week. If found, read them and incorporate any RAG changes, new risks, or milestone updates into the Progress Review

Read the full file on GitHub · 416 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. 6d ago First seen · 416 lines · 0 tokens per session scan A fa20fe3e1e0b

Subscribe to this mod's changes

weekly-review is a command published in the GitHub repository motorway-sandbox/product-os (9 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,522 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 2026-09-04.