pr-make

pr-make is a skill for Claude Code, Codex from a1f/agent-templates. It costs 27 tokens per session (148 once invoked), scanned A, original, MIT.

An alias for the `/make-pr` command, which creates or updates a GitHub pull request, a proposed code change submitted for review.

In plain words
What is it for?
It forwards options such as the issue number, reviewers, title, base branch, and draft status to the pull-request creation process.
Why use it?
It gives users a shorter command while keeping the same pull-request workflow and options.

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/a1f/agent-templates/pr-make
Any agent
npx skills add a1f/agent-templates --skill pr-make
Clone the repo
git clone --depth 1 https://github.com/a1f/agent-templates

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 pr-make

README.md
[![agentmods](https://agentmods.dev/badge/skills/a1f/agent-templates/pr-make.svg)](https://agentmods.dev/skills/a1f/agent-templates/pr-make)
Your own site
<a href="https://agentmods.dev/skills/a1f/agent-templates/pr-make"><img src="https://agentmods.dev/badge/skills/a1f/agent-templates/pr-make.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 148 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 $0.00027 $0.00148
Opus 5 $0.00014 $0.00074
Sonnet 5 $0.00005 $0.00030
Haiku 4.5 $0.00003 $0.00015

Measured 3d ago against content hash 98a0b005c725, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-make 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 3d 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/pr-make/SKILL.md · 18 lines

What it actually says

PR Make (Alias)

This is an alias for the /make-pr skill. Use the Skill tool to invoke make-pr with all arguments the user provided.

See /make-pr for available arguments: --issue, --reviewers, --title, --base, --draft.

Common Mistakes

Mistake Fix
Reimplementing PR creation logic ALWAYS dispatch to /make-pr — never duplicate its behavior
Dropping user arguments Forward all arguments exactly as provided
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. 3d ago First seen · 18 lines · 27 tokens per session scan A 98a0b005c725

Subscribe to this mod's changes

pr-make is a skill published in the GitHub repository a1f/agent-templates (2 stars, last pushed 4d ago), licensed MIT. It adds 27 tokens to every session and 148 once invoked, about $0.0001 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens