spec-to-prd

spec-to-prd is a skill for Codex from markoblogo/abvx-agent-skills. It costs 66 tokens per session (341 once invoked), scanned A, original, MIT.

A workflow for turning a vague feature request or discovery conversation into a product requirements document, or PRD. The document records the problem, user stories, implementation and testing decisions, scope, and assumptions.

In plain words
What is it for?
Use it to prepare issue bodies, Markdown requirements documents, and handoff-ready plans for features or roadmap work.
Why use it?
It gives a team a durable, shared description of what to build and what not to build. It also exposes missing decisions before implementation begins.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to prepare issue bodies, Markdown requirements documents, and handoff-ready plans for features or roadmap work.

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Install with agentmods
npx agentmods add skills/markoblogo/abvx-agent-skills/spec-to-prd
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.

Any agent
npx skills add markoblogo/abvx-agent-skills --skill spec-to-prd
Clone the repo
git clone --depth 1 https://github.com/markoblogo/abvx-agent-skills

Made for: 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 spec-to-prd

README.md
[![agentmods](https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/spec-to-prd/github.svg)](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/spec-to-prd)
Your own site
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/spec-to-prd"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/spec-to-prd/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.

agentmods 80×15 button for spec-to-prd

Your own site · 80×15
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/spec-to-prd"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/spec-to-prd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 341 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00066 $0.00341
Opus 5 $0.00033 $0.00170
Sonnet 5 $0.00013 $0.00068
Haiku 4.5 $0.00007 $0.00034

Measured 9d ago against content hash cd4671d9664a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

spec-to-prd 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 9d 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.

skills/spec-to-prd/SKILL.md · 47 lines

What it actually says

Spec To PRD

Convert current understanding into a durable PRD without re-running the whole discovery session.

Workflow

  1. Synthesize what is already known from the conversation and repo.
  2. Use the project's domain language and existing architectural decisions.
  3. Identify the highest useful seams for implementation and testing.
  4. Confirm only the few assumptions that would distort the PRD if wrong.
  5. Produce one PRD artifact:
    • issue tracker body;
    • markdown file;
    • handoff-ready document.

PRD Shape

Include:

  • problem statement;
  • solution from the user's perspective;
  • extensive user stories;
  • implementation decisions;
  • testing decisions;
  • out of scope;
  • further notes and open assumptions.

Rules

  • Do not dump file paths unless they are durable anchors.
  • Do not include code unless a small shape encodes a real decision more precisely than prose.
  • Keep scope sharp; explicitly name what is out of scope.
  • If discovery is too weak, route back to rapid-grilling or doc-grounded-grilling first.

Final Report

State where the PRD lives, what assumptions remain, and the best next step: issue breakdown, prototype, or execution.

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 47 lines · 66 tokens per session scan A cd4671d9664a

Subscribe to this mod's changes

spec-to-prd is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 341 once invoked, about $0.0003 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 2026-09-03.