prd-converter

prd-converter is a skill for Claude Code, Codex from YougLin-dev/Aha-Loop. It costs 47 tokens per session (2,498 once invoked), scanned A, original, MIT.

A converter that turns a product requirements document (PRD)—a description of a planned software feature—into the prd.json format used by Aha Loop for autonomous execution.

In plain words
What is it for?
It helps create prd.json files from existing PRDs, including project details, user stories, priorities, acceptance criteria, and research topics.
Why use it?
It removes the need to manually rewrite a Markdown file or text document into the JSON structure Aha Loop expects.

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/youglin-dev/aha-loop/prd-converter
Any agent
npx skills add YougLin-dev/Aha-Loop --skill prd-converter
Clone the repo
git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop

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 prd-converter

README.md
[![agentmods](https://agentmods.dev/badge/skills/youglin-dev/aha-loop/prd-converter.svg)](https://agentmods.dev/skills/youglin-dev/aha-loop/prd-converter)
Your own site
<a href="https://agentmods.dev/skills/youglin-dev/aha-loop/prd-converter"><img src="https://agentmods.dev/badge/skills/youglin-dev/aha-loop/prd-converter.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,498 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 $0.00047 $0.02498
Opus 5 $0.00023 $0.01249
Sonnet 5 $0.00009 $0.00500
Haiku 4.5 $0.00005 $0.00250

Measured 4d ago against content hash c7abca0a9e47, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prd-converter 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 4d 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/prd-converter/SKILL.md · 334 lines

How it starts

The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Aha Loop PRD Converter

Converts existing PRDs to the prd.json format that Aha Loop uses for autonomous execution.


The Job

Take a PRD (markdown file or text) and convert it to prd.json in the scripts/aha-loop directory.


Output Format (v2)

{
  "version": 2,
  "prdId": "[PRD-XXX from roadmap or PRD filename]",
  "project": "[Project Name]",
  "branchName": "aha-loop/[feature-name-kebab-case]",
  "description": "[Feature description from PRD title/intro]",
  "changeLog": [],
  "userStories": [
    {
      "id": "US-001",
      "title": "[Story title]",
      "description": "As a [user], I want [feature] so that [benefit]",
      "acceptanceCriteria": [
        "Criterion 1",
        "Criterion 2",
        "Typecheck passes"
      ],
      "priority": 1,
      "passes": false,
      "researchTopics": [
        "Question about technology or best practice",
        "Question about existing patterns"
      ],
      "researchCompleted": false,
      "learnings": "",
      "implementationNotes": "",
      "notes": ""
    }
  ]
}

New v2 Fields Explained

Field Purpose
version Schema version (always 2)
prdId PRD identifier (e.g., PRD-001) for commit message prefixes
changeLog Array of plan modifications made during execution
researchTopics Questions to investigate before implementing the story
researchCompleted Whether research phase is done for this story
learnings Knowledge gained during implementation (filled by Aha Loop)
implementationNotes Guidance from research phase for implementation

Story Size: The Number One Rule

Each story must be completable in ONE Aha Loop iteration (one context window).

Aha Loop spawns a fresh AI instance per iteration with no memory of previous work. If a story is too big, the LLM runs out of context before finishing and produces broken code.

Right-sized stories:

  • Add a database column and migration
  • Add a UI component to an existing page
  • Update a server action with new logic
  • Add a filter dropdown to a list

Read the full file on GitHub · 334 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. 4d ago First seen · 334 lines · 47 tokens per session scan A c7abca0a9e47

Subscribe to this mod's changes

prd-converter is a skill published in the GitHub repository YougLin-dev/Aha-Loop (181 stars, last pushed 7mo ago), licensed MIT. It adds 47 tokens to every session and 2,498 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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