Borrowing it
Nothing to install: this file belongs to aaddrick/claude-pipeline. 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/aaddrick/claude-pipeline/main/.claude/skills/investigating-codebase-for-user-stories/SKILL.mdgit clone --depth 1 https://github.com/aaddrick/claude-pipelineWrote 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/aaddrick/claude-pipeline/investigating-codebase-for-user-stories)<a href="https://agentmods.dev/skills/aaddrick/claude-pipeline/investigating-codebase-for-user-stories"><img src="https://agentmods.dev/badge/skills/aaddrick/claude-pipeline/investigating-codebase-for-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/aaddrick/claude-pipeline/investigating-codebase-for-user-stories"><img src="https://agentmods.dev/badge/skills/aaddrick/claude-pipeline/investigating-codebase-for-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 | $0.00035 | $0.02046 |
| Opus 5 | $0.00017 | $0.01023 |
| Sonnet 5 | $0.00007 | $0.00409 |
| Haiku 4.5 | $0.00003 | $0.00205 |
Grade A, and why
investigating-codebase-for-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 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.
How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investigating Codebase for User Stories
Overview
Systematic codebase investigation to produce well-formed user stories with acceptance criteria and traceability. Prevents shallow exploration that misses features or produces untestable stories.
When to Use
- Asked to "create user stories from this codebase"
- Need to document existing features as stories
- Reverse-engineering requirements from implementation
- Onboarding to understand what a system does
Investigation Phases
digraph investigation {
rankdir=TB;
node [shape=box];
identify [label="1. Identify User Types\n(routes, auth, controllers)"];
map [label="2. Map Feature Areas\n(by controller/domain)"];
trace [label="3. Trace User Journeys\n(entry points → outcomes)"];
write [label="4. Write Stories\nwith Acceptance Criteria"];
validate [label="5. Validate Coverage\n(cross-check routes/views)"];
deps [label="6. Map Dependencies\n(blocks/blocked-by)"];
save [label="7. Save to Files\n(docs/user-stories/)"];
identify -> map -> trace -> write -> validate -> deps -> save;
}
Phase 1: Identify User Types
Investigate authentication and authorization to find distinct user types:
| Look In | What to Find |
|---|---|
| Middleware | Auth guards, role checks, permission gates |
| Routes | Route groups with different middleware |
| User model | Roles, groups, subscription tiers |
| Views/layouts | Different dashboards, nav menus |
Output: List of user types (e.g., Guest, Registered User, Admin, Subscriber)
Phase 2: Map Feature Areas
Group functionality by domain, not by file structure:
Feature Area | Controllers/Services | User Types
---------------------|-----------------------------|-----------
Authentication | AuthController, MfaController| All
Product Catalog | ProductController, SearchController| Registered+
Notifications | NotificationController | Subscriber+
Admin Management | AdminController | Admin
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 · 299 lines · 35 tokens per session scan A ee3c47999f02
investigating-codebase-for-user-stories is a skill published in the GitHub repository aaddrick/claude-pipeline (128 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 2,046 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 2026-08-30.
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