demo-write-user-stories

demo-write-user-stories is a skill for Claude Code, Codex from linkpranay-ai/context-engineering-protocol. It costs 64 tokens per session (1,807 once invoked), scanned A, original, Apache-2.0.

A reference skill that turns a feature description into functional user stories written as “As a / I want / so that” statements, using approved project context when available.

In plain words
What is it for?
Use it to draft user stories for a feature and link each story to supporting context when that context package exists.
Why use it?
It provides a quick, traceable first draft of requirements without pretending to cover advanced backlog classifications.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to draft user stories for a feature and link each story to supporting context when that context package exists.

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Install with agentmods
npx agentmods add skills/linkpranay-ai/context-engineering-protocol/demo-write-user-stories
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.

Any agent
npx skills add linkpranay-ai/context-engineering-protocol --skill demo-write-user-stories
Clone the repo
git clone --depth 1 https://github.com/linkpranay-ai/context-engineering-protocol

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 demo-write-user-stories

README.md
[![agentmods](https://agentmods.dev/badge/skills/linkpranay-ai/context-engineering-protocol/demo-write-user-stories/github.svg)](https://agentmods.dev/skills/linkpranay-ai/context-engineering-protocol/demo-write-user-stories)
Your own site
<a href="https://agentmods.dev/skills/linkpranay-ai/context-engineering-protocol/demo-write-user-stories"><img src="https://agentmods.dev/badge/skills/linkpranay-ai/context-engineering-protocol/demo-write-user-stories/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 demo-write-user-stories

Your own site · 80×15
<a href="https://agentmods.dev/skills/linkpranay-ai/context-engineering-protocol/demo-write-user-stories"><img src="https://agentmods.dev/badge/skills/linkpranay-ai/context-engineering-protocol/demo-write-user-stories.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,807 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00064 $0.01807
Opus 5 $0.00032 $0.00903
Sonnet 5 $0.00013 $0.00361
Haiku 4.5 $0.00006 $0.00181

Measured 8d ago against content hash db95ce7a3425, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

demo-write-user-stories 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 8d 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.

.github/skills/demo-write-user-stories/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Demo: Writing User Stories (worked example)

Overview

This is a lean, from-scratch reference implementation of a real downstream consumer of CEP context packages — not a toy, and not part of core CEP. Given a feature description, it writes standard-form user stories, grounded in an approved context package's context_items when one is available, and follows the same discover/load/tag/reverse-index loop every consuming skill in this repo follows via CONSUMING-CONTEXT-PACKAGE.md.

It is deliberately minimal: no actor taxonomy, no Enabler/NFR/ Requirement-Note story types, no org-convention lookup, no scoring rubric. Any team that wants a production backlog tool should build one of those on top of this pattern — this skill exists to show the pattern itself, cleanly, end to end, and to be genuinely usable as-is for a quick, honestly-grounded first pass at a feature's user stories.

Scope note: this skill writes functional user stories only — plain "As a / I want / so that" statements. It does not distinguish Enabler stories, non-functional requirements, or requirement notes from functional stories; a production backlog tool should make that distinction, a lean reference example does not need to.

Inputs

  1. Feature description (required) — one or two sentences describing the feature or behavior to write stories for, the way a developer would actually phrase a ticket.
  2. Context package path (optional) — an explicit path to an approved contexts/<id>.yaml file to use instead of discovering one. If given, skip step 1's glob check below and treat that file as the "Found" package for step 2 onward, subject to the same existence/approval check (non-empty approved_by).

Steps

  1. Discover or load a context package — follow .github/skills/ult-context-generate/CONSUMING-CONTEXT-PACKAGE.md steps 0–3, using the feature description as the input artifact for step 0's tag scan (it will usually carry no [Context: ...] tag for a bare ask — that's expected, fall through to step 1's glob check) and an explicit package path (if given) per "Inputs" above. Load context_items, decisions_log/decisions, aspects, and summary per step 3 if a package is found and approved.

Read the full file on GitHub · 170 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. 8d ago First seen · 170 lines · 64 tokens per session scan A db95ce7a3425

Subscribe to this mod's changes

demo-write-user-stories is a skill published in the GitHub repository linkpranay-ai/context-engineering-protocol (8 stars, last pushed yesterday), licensed Apache-2.0. It adds 64 tokens to every session and 1,807 once invoked, about $0.0003 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.

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