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 mhylle/claude-skills-collection --skill user-storygit clone --depth 1 https://github.com/mhylle/claude-skills-collectionWrote 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/mhylle/claude-skills-collection/user-story)<a href="https://agentmods.dev/skills/mhylle/claude-skills-collection/user-story"><img src="https://agentmods.dev/badge/skills/mhylle/claude-skills-collection/user-story/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/mhylle/claude-skills-collection/user-story"><img src="https://agentmods.dev/badge/skills/mhylle/claude-skills-collection/user-story.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00072 | $0.02846 |
| Opus 5 | $0.00036 | $0.01423 |
| Sonnet 5 | $0.00014 | $0.00569 |
| Haiku 4.5 | $0.00007 | $0.00285 |
Grade A, and why
user-story 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 12d 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 — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Story
Overview
This skill generates hierarchical user stories (epics → features → tasks) with formal Given/When/Then acceptance criteria. It works in two modes: consuming brainstorm output for rich context, or standalone with its own clarification phase. Task-level stories share format with create-plan phases for seamless handoff.
Workflow Position: brainstorm → (ADRs + user stories) → create-plan → implement-plan
Related ADRs:
- ADR-0003: One file per epic with INDEX.md
- ADR-0004: Hierarchical numbering (EPIC-NN.F-NN.T-NN)
- ADR-0005: Shared format contract with create-plan
- ADR-0006: Upstream of create-plan, parallel to ADRs
Initial Response
When this skill is invoked, respond:
"I'm ready to help you define user stories. I can work from a brainstorm document or start fresh. Let me check for recent brainstorms, or you can describe the feature/system you want to define requirements for."
Workflow (5 Phases)
Phase 1: Input Detection
Determine the input mode and gather initial context.
Step 1: Check for explicit brainstorm path
If the user passed a file path argument ($0):
Read($0) # Read the brainstorm file
→ Proceed to Phase 2 with brainstorm content as context.
Step 2: Auto-scan for recent brainstorms
If no argument provided, scan for recent brainstorm files:
Glob("docs/brainstorms/*.md")
| Scenario | Action |
|---|---|
| Recent brainstorms found (last 7 days) | Present list and ask: "I found these recent brainstorms. Would you like to base user stories on one of them, or start fresh?" |
| No recent brainstorms | Proceed to standalone mode (Phase 3) |
| User selects a brainstorm | Read the file, proceed to Phase 2 |
| User wants to start fresh | Proceed to Phase 3 |
What ships with it
3 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.
- 12d ago First seen · 345 lines · 72 tokens per session scan A 8fc4980c669c
user-story is a skill published in the GitHub repository mhylle/claude-skills-collection (18 stars, last pushed 9d ago), licensed MIT. It adds 72 tokens to every session and 2,846 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.
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