lfe-to-issues

lfe-to-issues is a skill for Claude Code, Codex from StChiotis/Library-First-Engineering. It costs 37 tokens per session (758 once invoked), scanned A, original, MIT.

A planning step that breaks a Product Requirements Document into small vertical slices: complete, independently demonstrable paths through the needed data, API, user interface, and tests. It labels slices that need human decisions or outside dependencies.

In plain words
What is it for?
Use it to create narrow end-to-end issues, show dependencies, prefer work that can proceed without intervention, and request approval for the slice plan.
Why use it?
It makes a large feature easier to build and verify in small increments. Human approval happens before implementation proceeds with the proposed breakdown.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/stchiotis/library-first-engineering/lfe-to-issues
Any agent
npx skills add StChiotis/Library-First-Engineering --skill lfe-to-issues
Clone the repo
git clone --depth 1 https://github.com/StChiotis/Library-First-Engineering

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for lfe-to-issues

README.md
[![agentmods](https://agentmods.dev/badge/skills/stchiotis/library-first-engineering/lfe-to-issues.svg)](https://agentmods.dev/skills/stchiotis/library-first-engineering/lfe-to-issues)
Your own site
<a href="https://agentmods.dev/skills/stchiotis/library-first-engineering/lfe-to-issues"><img src="https://agentmods.dev/badge/skills/stchiotis/library-first-engineering/lfe-to-issues.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 758 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00037 $0.00758
Opus 5 $0.00018 $0.00379
Sonnet 5 $0.00007 $0.00152
Haiku 4.5 $0.00004 $0.00076

Measured 5d ago against content hash 12d109020aa7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lfe-to-issues 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 5d 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.

.agents/skills/lfe-to-issues/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LFE To Issues

Position in Pipeline

  • Phase: 1 (Architect sub-pipeline, Step 3)
  • Persona: Architect
  • Input: .plans/02_prd.md
  • Output: .plans/03_slices.md
  • Gate: 🛑 Human must approve slices before proceeding

Process

1. Read input

Read .plans/02_prd.md as the source of truth — it carries this step's inputs, not the conversation.

2. Draft vertical slices

Break the PRD into tracer bullet slices. Each slice is a thin vertical cut through ALL integration layers end-to-end, NOT a horizontal slice of one layer.

Slices are either:

  • AFK — can be implemented and merged without human interaction
  • HITL — requires a human decision, design review, or external dependency

Prefer AFK over HITL where possible.

Vertical slice rules:

  • Each slice delivers a narrow but COMPLETE path through every layer (schema, API, UI, tests)
  • A completed slice is demoable or verifiable on its own
  • Prefer many thin slices over few thick ones

3. Present to human

Present the proposed breakdown as a numbered list. For each slice show:

  • Title: short descriptive name
  • Type: HITL / AFK
  • Blocked by: which other slices must complete first
  • User stories covered: which user stories this addresses

Ask the human:

  • Does the granularity feel right?
  • Are the dependency relationships correct?
  • Should any slices be merged or split further?
  • Are the correct slices marked as HITL and AFK?

🛑 Iterate until the human approves the breakdown.

4. Write coordination file

Save approved slices to .plans/03_slices.md:

---
phase: architect
step: 3_slices
status: complete
timestamp: <ISO-8601>
source: .plans/02_prd.md
total_slices: <N>
approved_by_human: true
---
## Slice 1: <Title>
- **Type**: AFK
- **Blocked by**: None
- **Acceptance criteria**:
  - [ ] Criterion 1
  - [ ] Criterion 2

## Slice 2: <Title>
- **Type**: AFK
- **Blocked by**: Slice 1
- **Acceptance criteria**:
  - [ ] Criterion 1

Read the full file on GitHub · 84 lines

Changes

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.

  1. 5d ago First seen · 84 lines · 37 tokens per session scan A 12d109020aa7

Subscribe to this mod's changes

lfe-to-issues is a skill published in the GitHub repository StChiotis/Library-First-Engineering (43 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 758 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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