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.
npx agentmods add skills/nicepkg/ai-workflow/writing-user-storiesnpx skills add nicepkg/ai-workflow --skill writing-user-storiesgit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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.
[](https://agentmods.dev/skills/nicepkg/ai-workflow/writing-user-stories)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/writing-user-stories"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/writing-user-stories.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00017 | $0.00243 |
| Opus 5 | $0.00009 | $0.00121 |
| Sonnet 5 | $0.00003 | $0.00049 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
writing-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 yesterday.
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.
What it actually says
Writing User Stories
Overview
Help Claude and subagents write properly formatted user stories for task definition.
Core principle: User stories are formulaic ways of expressing user requirements. They identify the perosna of the actor, what they want to do, and what benefit are they hoping to gain from their actions.
When to Use This Skill
Use this skill when:
- You are asked to write a user story
- You are asked to plan a feature
User Story Format
As a PERSONA I want to DESCRIPTION_OF_ACTION So that DESCRIPTION_OF_BENEFIT.
Examples
As a non-technical stakeholder, I want to understand what changed in a release without reading code diffs so that I can communicate updates to customers effectively.
As a new user, I want to see examples of AI-generated code before connecting my repository so that I understand the value proposition before committing to integration.
As a home cook, I want to see that recipes have been tested by professional chefs so that I can know whether they are worth trying.
What ships with it
1 file 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.
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.
- yesterday First seen · 38 lines · 17 tokens per session scan A 1da78b0d4444
writing-user-stories is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 17 tokens to every session and 243 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 2026-09-03.
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