create-product-spec

create-product-spec is a skill for Claude Code, Codex from warpdotdev/oz-for-oss. It costs 86 tokens per session (966 once invoked), scanned A, original, MIT.

A workflow for turning a GitHub issue—a reported task or problem in a code repository—into a written product specification.

In plain words
What is it for?
Use it to create product specs at specs/GH<issue-number>/product.md and, when requested, prepare pull-request metadata.
Why use it?
It organizes the issue, comments, decisions, edge cases, and validation details into one file without changing the issue or creating a pull request.

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/warpdotdev/oz-for-oss/create-product-spec
Any agent
npx skills add warpdotdev/oz-for-oss --skill create-product-spec
Clone the repo
git clone --depth 1 https://github.com/warpdotdev/oz-for-oss

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 create-product-spec

README.md
[![agentmods](https://agentmods.dev/badge/skills/warpdotdev/oz-for-oss/create-product-spec.svg)](https://agentmods.dev/skills/warpdotdev/oz-for-oss/create-product-spec)
Your own site
<a href="https://agentmods.dev/skills/warpdotdev/oz-for-oss/create-product-spec"><img src="https://agentmods.dev/badge/skills/warpdotdev/oz-for-oss/create-product-spec.svg" alt="Measured on agentmods" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 966 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 $0.00086 $0.00966
Opus 5 $0.00043 $0.00483
Sonnet 5 $0.00017 $0.00193
Haiku 4.5 $0.00009 $0.00097

Measured 5d ago against content hash 4f14f5a7dcf9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-product-spec 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/create-product-spec/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

create-product-spec

Create a product spec from a GitHub issue for this repository.

Overview

This skill is a thin Oz wrapper around the shared product-spec workflow:

  • write-product-spec

Use that shared skill as the base behavior and structure unless this wrapper overrides it. Keep the same emphasis on precise user-facing behavior, invariants, edge cases, validation, and open questions.

The Oz-specific differences are:

  • the primary input is a GitHub issue, not a Linear issue
  • the output path is specs/GH<issue-number>/product.md
  • issue_comments.md and triggering-comment context are first-class inputs
  • a workflow may also request a structured PR metadata file in pr-metadata.json
  • do not create or edit Linear issues as part of this workflow

Inputs

Expect issue details in the prompt, including the issue number, title, description, labels, assignees, and optional prior discussion captured in issue_comments.md.

If a triggering comment or other workflow-provided comment context is present, treat it as additional context, not as a silent override of the issue body. Resolved decisions from comments can refine the spec; unresolved disagreements should remain explicit open questions.

Process

  1. Start from the shared write-product-spec guidance and follow its structure and writing standards unless this wrapper says otherwise.
  2. Read the issue details carefully. If issue_comments.md exists, review it for clarifications, prior decisions, and issue-comment nuance that should influence the spec.
  3. Inspect the repository enough to understand the current user workflow and likely scope before writing the spec.
  4. Create or update specs/GH<issue-number>/product.md.
  5. Keep the product spec focused on intended behavior and user-facing requirements. Use the shared skill's sections as the baseline, adapted to this repository and issue format. At minimum, cover:
    • summary
    • problem
    • goals
    • non-goals or scope boundaries
    • concrete user experience and behavior requirements
    • success criteria
    • validation
    • open product questions
  6. If design context such as a Figma link is present in the issue description or comments, include it. If no design context exists, make that absence explicit rather than silently omitting it.
  7. Do not include implementation details, file-level changes, or technical design. Those belong in the tech spec.
  8. Do not implement the feature or modify production code as part of this task. Limit changes to the product spec artifact. Treat temporary context files such as issue_comments.md as scratch input only and do not commit them.
  9. Do not include issue number references (e.g. (#N), Refs #N) in commit messages. The issue is already linked in the PR.
  10. If the prompt asks for it, write pr-metadata.json at the repository root containing a JSON object with the fields branch_name, pr_title, and pr_summary. The pr_summary should summarize the product and technical planning clearly enough that reviewers can use it directly as the PR body. For spec-only PRs, include a non-closing reference to the source issue such as Related issue: #<issue-number> rather than closing keywords like Closes or Fixes.
  11. Default behavior: do not stage files, create commits, push branches, open pull requests, or use the GitHub CLI. If the prompt explicitly instructs you to publish a named branch, you may commit and push exactly the requested spec changes to that branch, but still do not open or update the pull request yourself unless the prompt explicitly asks for it.
  12. In your final response, provide a brief summary of the product spec and call out any assumptions or open questions so the workflow can reuse that summary when creating the PR.

Read the full file on GitHub · 60 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 · 60 lines · 86 tokens per session scan A 4f14f5a7dcf9

Subscribe to this mod's changes

create-product-spec is a skill published in the GitHub repository warpdotdev/oz-for-oss (307 stars, last pushed 3d ago), licensed MIT. It adds 86 tokens to every session and 966 once invoked, about $0.0004 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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