pr

pr is a skill for Claude Code, Codex from kdlbs/kandev. It costs 29 tokens per session (5,100 once invoked), scanned A, original, AGPL-3.0.

A workflow for creating a pull request, the code-review request used to merge a branch into a shared codebase.

In plain words
What is it for?
Use it after completing a change when you need to create a pull request from the current branch.
Why use it?
It ensures the branch is committed, pushed, and passes the checks required by the task before opening the review 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/kdlbs/kandev/pr
Any agent
npx skills add kdlbs/kandev --skill pr
Clone the repo
git clone --depth 1 https://github.com/kdlbs/kandev

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/kdlbs/kandev/pr.svg)](https://agentmods.dev/skills/kdlbs/kandev/pr)
Your own site
<a href="https://agentmods.dev/skills/kdlbs/kandev/pr"><img src="https://agentmods.dev/badge/skills/kdlbs/kandev/pr.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,100 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00029 $0.05100
Opus 5 $0.00015 $0.02550
Sonnet 5 $0.00006 $0.01020
Haiku 4.5 $0.00003 $0.00510

Measured today against content hash 774073cf1e71, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr scanned grade A with 1 finding 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 today.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

> **GitLab tool selection:** The GitLab flow prefers `glab` CLI when available; otherwise it shells `curl` against the REST v4 API using `$GITLAB_TOKEN` (which the agent runtime injects from the user's secrets store).
.agents/skills/pr/SKILL.md · 359 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. today Changed · +9 lines 774073cf1e71
  2. 4d ago First seen · 350 lines · 29 tokens per session scan A a2e791128572

Subscribe to this mod's changes

pr is a skill published in the GitHub repository kdlbs/kandev (739 stars, last pushed today), licensed AGPL-3.0. It adds 29 tokens to every session and 5,100 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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