pm-prompts: Command for Claude Code

.claude/commands/focus-discipline.md

focus-discipline is a command for Claude Code from MrJoeSack/pm-prompts. It costs 7 tokens per session (296 once invoked), scanned A, original, MIT.

A command that helps rank competing opportunities, requests, or responsibilities by their importance and fit with your main goals. It uses a four-part process: explore options, evaluate them, remove lower-value work, and protect the final priorities.

In plain words
What is it for?
Use it to choose between feature requests, projects, or leadership responsibilities. It helps recommend what to pursue, what to reject, and how to focus execution.
Why use it?
It helps when there are more worthwhile tasks than available time or people. It makes trade-offs explicit, including what must be stopped to make room for the chosen work.

Command for Claude Code

Written for Claude Code: installed under .claude/.

This is MrJoeSack/pm-prompts's own configuration. It tells Claude Code how to work on pm-prompts 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 pm-prompts configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MrJoeSack/pm-prompts. 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/MrJoeSack/pm-prompts/main/.claude/commands/focus-discipline.md
Clone the repo
git clone --depth 1 https://github.com/MrJoeSack/pm-prompts

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 focus-discipline

README.md
[![agentmods](https://agentmods.dev/badge/commands/mrjoesack/pm-prompts/focus-discipline/github.svg)](https://agentmods.dev/commands/mrjoesack/pm-prompts/focus-discipline)
Your own site
<a href="https://agentmods.dev/commands/mrjoesack/pm-prompts/focus-discipline"><img src="https://agentmods.dev/badge/commands/mrjoesack/pm-prompts/focus-discipline/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 focus-discipline

Your own site · 80×15
<a href="https://agentmods.dev/commands/mrjoesack/pm-prompts/focus-discipline"><img src="https://agentmods.dev/badge/commands/mrjoesack/pm-prompts/focus-discipline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 7 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 296 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 $0.00007 $0.00296
Opus 5 $0.00003 $0.00148
Sonnet 5 $0.00001 $0.00059
Haiku 4.5 $0.00001 $0.00030

Measured 10d ago against content hash 8fab8b467cf4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

focus-discipline 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 10d 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/focus-discipline.md · 38 lines

What it actually says

Focus Discipline Framework

Apply systematic prioritization to cut through noise and focus on what matters most:

Four-Step Process

  1. Explore - List all options without editing
  2. Evaluate - Identify highest contribution opportunities
  3. Eliminate - Say no to good to say yes to great
  4. Execute - Build systems to protect essential work

Essential Questions

For any opportunity or request:

  • Is this essential to my core objectives?
  • Am I the right person to do this?
  • What will I stop doing to make room?
  • Does this create my highest point of contribution?

Input Template

Describe your prioritization challenge like: "I have [list of options/requests] but can only focus on [constraint] so I need help deciding what's essential"

Examples:

  • "I have 5 feature requests but can only build 2 this quarter so I need help prioritizing"
  • "Leadership wants me to lead 3 initiatives but I can only do 1 well so I need to choose"

Output

Provide systematic analysis using focus principles with clear recommendations on what to pursue and what to eliminate.

Arguments: {{args}}

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. 10d ago First seen · 38 lines · 7 tokens per session scan A 8fab8b467cf4

Subscribe to this mod's changes

focus-discipline is a command published in the GitHub repository MrJoeSack/pm-prompts (6 stars, last pushed 7mo ago), licensed MIT. It adds 7 tokens to every session and 296 once invoked, about $0.0000 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 2026-08-31.