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.
git clone --depth 1 https://github.com/CrashBytes/claude-role-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/commands/crashbytes/claude-role-skills/user-story)<a href="https://agentmods.dev/commands/crashbytes/claude-role-skills/user-story"><img src="https://agentmods.dev/badge/commands/crashbytes/claude-role-skills/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/commands/crashbytes/claude-role-skills/user-story"><img src="https://agentmods.dev/badge/commands/crashbytes/claude-role-skills/user-story.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00006 | $0.00347 |
| Opus 5 | $0.00003 | $0.00173 |
| Sonnet 5 | $0.00001 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00035 |
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 10d 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.
What it actually says
Write User Stories
Generate well-structured user stories with acceptance criteria from a feature description.
Arguments
Feature to write stories for: $ARGUMENTS
Workflow
-
Understand the feature
- Parse the provided feature description
- Identify the target user personas
- Determine the business value
-
Decompose into user stories
- Apply INVEST criteria: Independent, Negotiable, Valuable, Estimable, Small, Testable
- Format: "As a [persona], I want to [action], so that [benefit]"
- Aim for stories that can be completed in 1-3 days
- Break epics into vertical slices (each delivers end-to-end value)
-
Write acceptance criteria for each story
- Use Given/When/Then format
- Cover the happy path, edge cases, and error states
- Include non-functional requirements where relevant (performance, accessibility)
- Each story should have 3-7 acceptance criteria
-
Add story metadata
- Suggested story points estimate (1, 2, 3, 5, 8, 13)
- Priority recommendation (must-have, should-have, nice-to-have)
- Dependencies on other stories
- Technical notes for the development team
-
Output
- Numbered list of user stories
- Acceptance criteria for each
- Suggested implementation order
- MVP subset recommendation (which stories deliver the core value)
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.
- 10d ago First seen · 45 lines · 6 tokens per session scan A d6962f6e9bd0
user-story is a command published in the GitHub repository CrashBytes/claude-role-skills (6 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 6 tokens to every session and 347 once invoked, about $0.0000 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.
Other commands, from other repositories
launch-meta-campaign
Launch a complete Meta Ads campaign — campaign, ad set, and ad(s) — built paused and ready to review. Use when the user wants a new Facebook/Instagram campaign.
negative-keyword-sweep
Find wasted spend in Google Ads search terms and add negatives at the right scope (account list, campaign, or ad group). Use when the user says "find junk keywords", "stop wasting on bad searches", or wants a search-terms cleanup.
duck-off
Turn off Rubber Duck mode and answer normally.
triage
Promote ideas from Ideas.md into Epics or User Stories in the Epic backlog (dedup, typed ID, voice).
bug
Report a bug instantly to the bug Inbox (append-only, any language, safe mid-work).
close-sprint
Close the sprint — record Increment + velocity, return unfinished stories/bugs to the backlog.