skill-product-backlog-prioritization

skill-product-backlog-prioritization is a skill for Claude Code, Codex from MatrixFounder/Agentic-development. It costs 24 tokens per session (486 once invoked), scanned A, original, Apache-2.0.

A backlog-prioritization guide that uses Weighted Shortest Job First (WSJF), a method for ranking work by value, urgency, risk reduction, and effort.

In plain words
What is it for?
Use it to add estimates to backlog items and rank features or other work. It supports effort estimates such as T-shirt sizes or Fibonacci numbers.
Why use it?
It gives teams a consistent way to decide what to do first instead of relying on guesswork. A provided script calculates and sorts the scores.

Skill for Claude CodeCodex

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 skills/matrixfounder/agentic-development/skill-product-backlog-prioritization
Any agent
npx skills add MatrixFounder/Agentic-development --skill skill-product-backlog-prioritization
Clone the repo
git clone --depth 1 https://github.com/MatrixFounder/Agentic-development

Made for: Claude Code, Codex.

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 skill-product-backlog-prioritization

README.md
[![agentmods](https://agentmods.dev/badge/skills/matrixfounder/agentic-development/skill-product-backlog-prioritization.svg)](https://agentmods.dev/skills/matrixfounder/agentic-development/skill-product-backlog-prioritization)
Your own site
<a href="https://agentmods.dev/skills/matrixfounder/agentic-development/skill-product-backlog-prioritization"><img src="https://agentmods.dev/badge/skills/matrixfounder/agentic-development/skill-product-backlog-prioritization.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 486 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 $0.00024 $0.00486
Opus 5 $0.00012 $0.00243
Sonnet 5 $0.00005 $0.00097
Haiku 4.5 $0.00002 $0.00049

Measured 5d ago against content hash f9f2d141e06c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-product-backlog-prioritization 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/calculate_wsjf.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agent/skills/skill-product-backlog-prioritization/SKILL.md · 45 lines

What it actually says

Backlog Prioritization (WSJF)

1. Objective

To prioritize features scientifically using Weighted Shortest Job First (WSJF).

2. Logic Locker (CRITICAL)

[!IMPORTANT] FORBIDDEN ACTION: You are strictly forbidden from calculating WSJF scores manually or mentally. Humans and LLMs are bad at floating point arithmetic. Use the script.

3. Core Tooling

You MUST use the provided Python script to calculate scores and sort the backlog.

How to Prioritize

Run the following command:

python3 [skill_path]/scripts/calculate_wsjf.py --file docs/PRODUCT_BACKLOG.md

Note: [skill_path] is the path to this skill (e.g. .agent/skills/skill-product-backlog-prioritization).

4. Scoring Components

When adding a new item to the Backlog, you must estimate:

  1. User Value (UV): Relative value to the customer (1-10).
  2. Time Criticality (TC): Is there a deadline? (1-10).
  3. Risk Reduction (RR): Does this open new options or fix security? (1-10).
  4. Job Size (JS): Estimate of effort. Support "T-Shirt Sizes" (XS, S, M, L, XL) or relative fibonacci (1, 2, 3, 5, 8, 13, 20).
    • XS / ~1d -> 1
    • S / ~2-3d -> 2
    • M / ~1w -> 5
    • L / ~1m -> 13
    • XL / ~2m+ -> 20

Formula (Handled by Script): WSJF = (UV + TC + RR) / Job Size

5. Artifact Standards

See examples/backlog_table_example.md for the correct table format. The table MUST include all 4 input columns and the WSJF output column.

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 45 lines · 24 tokens per session scan A f9f2d141e06c

Subscribe to this mod's changes

skill-product-backlog-prioritization is a skill published in the GitHub repository MatrixFounder/Agentic-development (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 486 once invoked, about $0.0001 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.