oz-for-oss: Skill for Claude Code

.agents/skills/create-tech-spec/SKILL.md

create-tech-spec is a skill for Claude Code, Codex from warpdotdev/oz-for-oss. It costs 86 tokens per session (971 once invoked), scanned A, original, MIT.

A workflow for turning a GitHub issue—a tracked software task—into a technical specification saved in the repository. It uses the issue discussion and, when available, the product specification as design input.

In plain words
What is it for?
Use it to create tech specs for GitHub issues, including relevant implementation details and optional pull-request metadata, without creating Linear issues.
Why use it?
It turns a user-facing request into a documented engineering plan grounded in the existing code. This helps developers understand files, data flow, tradeoffs, and validation before making changes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is warpdotdev/oz-for-oss's own configuration. It tells Claude Code and Codex how to work on oz-for-oss itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything oz-for-oss configures →

Reuse

Borrowing it

Nothing to install: this file belongs to warpdotdev/oz-for-oss. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/warpdotdev/oz-for-oss/main/.agents/skills/create-tech-spec/SKILL.md
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-tech-spec

README.md
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Your own site
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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 create-tech-spec

Your own site · 80×15
<a href="https://agentmods.dev/skills/warpdotdev/oz-for-oss/create-tech-spec"><img src="https://agentmods.dev/badge/skills/warpdotdev/oz-for-oss/create-tech-spec.svg" alt="Reviewed on agentmods" width="80" 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 971 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00086 $0.00971
Opus 5.5 $0.00034 $0.00388
Sonnet 5.5 $0.00017 $0.00194
Haiku 4.5 $0.00009 $0.00097

Measured 1mo ago against content hash 40124feef1dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-tech-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 1mo 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-tech-spec/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

create-tech-spec

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

Overview

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

  • write-tech-spec

Use that shared skill as the base behavior and structure unless this wrapper overrides it. Keep the same emphasis on grounding the plan in current code, documenting relevant files and data flow, explaining tradeoffs, and defining validation.

The Oz-specific differences are:

  • the primary input is a GitHub issue, not a Linear issue
  • the output path is specs/GH<issue-number>/tech.md
  • issue_comments.md and triggering-comment context are additional design 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.

When available, the product spec at specs/GH<issue-number>/product.md should be treated as the primary input for understanding the intended behavior. The tech spec translates that product intent into an implementation approach.

Process

  1. Start from the shared write-tech-spec guidance and follow its structure and writing standards unless this wrapper says otherwise.
  2. Read the issue details carefully. If a product spec exists at specs/GH<issue-number>/product.md, read it first to understand the intended behavior. If issue_comments.md exists, review it for clarifications, prior decisions, and design nuance that should influence the tech plan.
  3. Inspect the repository to understand the current implementation and the likely scope of the requested work before writing the spec. Do not guess about current architecture when the code can be inspected directly.
  4. Create or update specs/GH<issue-number>/tech.md.
  5. Use the shared skill's structure as the baseline, adapted to this repository and issue format. At minimum, cover:
    • problem
    • relevant code
    • current state
    • proposed changes
    • end-to-end flow when useful
    • risks and mitigations
    • testing and validation
    • follow-ups or open technical questions
  6. Keep the tech spec concise, actionable, and grounded in actual code paths and ownership boundaries in this repository.
  7. Do not implement the feature or modify production code as part of this task. Limit changes to the tech spec artifact and any minimal repository metadata needed to support it. Treat temporary context files such as issue_comments.md as scratch input only and do not commit them.
  8. Do not include issue number references (e.g. (#N), Refs #N) in commit messages. The issue is already linked in the PR.
  9. 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 resulting spec changes, validation, and any reviewer-relevant assumptions or open questions. 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.
  10. 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.
  11. In your final response, provide a brief summary of the tech 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 · 59 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. 1mo ago First seen · 59 lines · 86 tokens per session scan A 40124feef1dd

Subscribe to this mod's changes

create-tech-spec is a skill published in the GitHub repository warpdotdev/oz-for-oss (312 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 971 once invoked, about $0.0003 per session on Opus 5.5. 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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