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 skills add product-on-purpose/pm-skills --skill deliver-user-storiesgit clone --depth 1 https://github.com/product-on-purpose/pm-skillsWrote 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/product-on-purpose/pm-skills/deliver-user-stories)<a href="https://agentmods.dev/skills/product-on-purpose/pm-skills/deliver-user-stories"><img src="https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/deliver-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.
<a href="https://agentmods.dev/skills/product-on-purpose/pm-skills/deliver-user-stories"><img src="https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/deliver-user-stories.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 5.1 | $0.00080 | $0.00882 |
| Opus 5 | $0.00040 | $0.00441 |
| Sonnet 5 | $0.00016 | $0.00176 |
| Haiku 4.5 | $0.00008 | $0.00088 |
Grade A, and why
deliver-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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Stories
User stories are concise descriptions of functionality from the user's perspective. They capture who needs something, what they need, and why - without prescribing how to build it. Good user stories enable teams to break large features into estimable, deliverable increments while maintaining focus on user value.
When to Use
- After PRD approval, when breaking down features for implementation
- During sprint planning to create actionable work items
- When writing tickets for engineering teams
- When communicating requirements to stakeholders in accessible terms
- When prioritizing a backlog based on user value
When NOT to Use
- You need deeper, QA-ready Given/When/Then coverage for a single story or slice -> use
deliver-acceptance-criteria - You need the feature-wide catalog of boundary conditions and failure scenarios -> use
deliver-edge-cases - The feature itself is not yet specified -> use
deliver-prdfirst; stories should trace back to documented requirements - You want refinement-session outcomes (estimates, scope decisions, open questions) -> use
iterate-refinement-notes
Instructions
When asked to create user stories, follow these steps:
-
Understand the Feature Context Review the PRD or feature description. Understand the overall goal, target users, and scope boundaries. User stories should trace back to documented requirements.
-
Identify User Personas Determine which users interact with this feature. Each story should be written for a specific persona, not generic "users." Different personas may need different stories for the same feature.
-
Break Down by User Goal Decompose the feature into distinct user goals. Each story should deliver a complete, valuable capability - something the user can actually do when the story is done.
-
Write Story Statements Use the format: "As a [persona], I want [action] so that [benefit]." The benefit clause is critical - it explains why this matters and helps prioritize.
What ships with it
4 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.
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.
- 13d ago First seen · 77 lines · 80 tokens per session scan A d737dbb3c646
deliver-user-stories is a skill published in the GitHub repository product-on-purpose/pm-skills (663 stars, last pushed yesterday), licensed Apache-2.0. It adds 80 tokens to every session and 882 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
idea-validator
Use when the user asks to validate a product idea, stress-test an idea, evaluate whether an idea is good, or decide whether to build something. Do NOT use for prioritizing an existing backlog or reviewing a shipped feature — those need RICE scoring or a design review instead.
product-designer
Use when the user asks to review a design, critique a UI or mockup, give design feedback, or check a screen for usability and accessibility issues. Do NOT use for visual brand or aesthetic preference debates, or for reviewing copy before layout is settled.
prompt-engineer
Use when the user asks to improve, optimize, rewrite, debug, or shorten a prompt, or asks why a prompt is producing bad output. Do NOT use for writing a Claude Code SKILL.md — that needs skill structure rules, not prompt techniques.
status-update-writer
Use when the user asks to write a status update, weekly or monthly update, stakeholder update, project update, standup, status report, or QBR. Do NOT use for writing a PRD or a retro doc — those need different structures.
linkedin-post-writer
Use when the user asks to write, draft, or rewrite a LinkedIn post, turn notes or an article into a LinkedIn post, or fix a hook that is not landing. Do NOT use for X/Twitter threads, newsletters, or blog posts — those need different length and hook rules.
spec-from-conversation
Turn an unstructured stakeholder conversation, Slack thread, or meeting transcript into a structured spec (problem, goals, non-goals, success metrics, open questions). Use whenever a PM has raw conversational input and needs a first-draft spec, or when someone says "can you turn this into a doc" after a discussion.…