Borrowing it
Nothing to install: this file belongs to midnight480/saga-event-space-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/midnight480/saga-event-space-mcp-server/main/.agents/skills/aidlc-user-stories/SKILL.mdgit clone --depth 1 https://github.com/midnight480/saga-event-space-mcp-serverWrote 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/midnight480/saga-event-space-mcp-server/aidlc-user-stories)<a href="https://agentmods.dev/skills/midnight480/saga-event-space-mcp-server/aidlc-user-stories"><img src="https://agentmods.dev/badge/skills/midnight480/saga-event-space-mcp-server/aidlc-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/midnight480/saga-event-space-mcp-server/aidlc-user-stories"><img src="https://agentmods.dev/badge/skills/midnight480/saga-event-space-mcp-server/aidlc-user-stories.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 | $0.00041 | $0.00381 |
| Opus 5 | $0.00020 | $0.00191 |
| Sonnet 5 | $0.00008 | $0.00076 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
aidlc-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 11d 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
AI-DLC User Stories Skill
This skill converts requirements into user-centered stories with acceptance criteria.
Activation
Use this skill when:
- Converting requirements into user stories
- Defining user personas and their needs
- Creating acceptance criteria for features
- Establishing shared understanding across teams
- Multiple user types or personas are involved
Execution
Read .aidlc-rule-details/inception/user-stories.md for complete step-by-step instructions.
Two-Part Process
Part 1 — Planning
- Validate user stories are needed (intelligent assessment)
- Create story plan with methodology questions
- Generate context-appropriate questions using
[Answer]:tags - Wait for user answers
- Analyze answers for ambiguities (MANDATORY)
- Create follow-up questions if needed
- Get explicit approval of the plan
Part 2 — Generation
- Execute the approved plan step by step
- Generate
aidlc-docs/inception/user-stories/stories.md(INVEST criteria) - Generate
aidlc-docs/inception/user-stories/personas.md - Mark checkboxes
[x]after each step - Present completion message and wait for approval
Story Quality
All stories must be:
- Independent — Can be developed separately
- Negotiable — Details can be discussed
- Valuable — Delivers value to users
- Estimable — Can be sized
- Small — Fits in one iteration
- Testable — Has clear acceptance criteria
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.
- 11d ago First seen · 52 lines · 41 tokens per session scan A f157c6fc0cc8
aidlc-user-stories is a skill published in the GitHub repository midnight480/saga-event-space-mcp-server (0 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 381 once invoked, about $0.0002 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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