developer_pr_prep

developer_pr_prep is a skill for Claude Code, Codex from siddsachar/row-bot. It costs 25 tokens per session (224 once invoked), scanned A, original, Apache-2.0.

A workflow for preparing a GitHub pull request, which is a proposed set of code changes for review and merging. It checks the branch and diff, runs relevant tests, and drafts the request text.

In plain words
What is it for?
Use it to prepare branches, review changed files, verify tests, write a pull request summary, and explicitly approve pushing or opening the request.
Why use it?
It catches branch, test, and review details before changes are pushed or a pull request is opened.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare branches, review changed files, verify tests, write a pull request summary, and explicitly approve pushing or opening the request.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/siddsachar/row-bot/developer_pr_prep
About the project

Row-Bot is a local-first desktop AI assistant that combines language models with memory and tools for working across files, repositories, workflows, and communication channels. It is intended for people who want an assistant that can run locally while keeping application data on their machine.

siddsachar/row-bot · 1,627 stars · on GitHub · row-bot.ai

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 siddsachar/row-bot --skill developer_pr_prep
Clone the repo
git clone --depth 1 https://github.com/siddsachar/row-bot

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 developer_pr_prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/siddsachar/row-bot/developer_pr_prep/github.svg)](https://agentmods.dev/skills/siddsachar/row-bot/developer_pr_prep)
Your own site
<a href="https://agentmods.dev/skills/siddsachar/row-bot/developer_pr_prep"><img src="https://agentmods.dev/badge/skills/siddsachar/row-bot/developer_pr_prep/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 developer_pr_prep

Your own site · 80×15
<a href="https://agentmods.dev/skills/siddsachar/row-bot/developer_pr_prep"><img src="https://agentmods.dev/badge/skills/siddsachar/row-bot/developer_pr_prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 224 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 $0.00025 $0.00224
Opus 5.5 $0.00010 $0.00090
Sonnet 5.5 $0.00005 $0.00045
Haiku 4.5 $0.00003 $0.00022

Measured 15d ago against content hash 7510f604ed7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

developer_pr_prep 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 15d 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.

bundled_skills/developer_pr_prep/SKILL.md · 31 lines

What it actually says

Developer PR Prep

Use this skill when the user wants to prepare, push, or open a pull request from a conversation's code folder.

Workflow:

  1. Check workspace identity, branch, remote, dirty state, and GitHub CLI status.
  2. Recommend a feature branch when the user is still on a protected or shared branch.
  3. Review the diff and line counts.
  4. Run the relevant tests or clearly state why they were not run.
  5. Draft a PR title/body with summary, changed files, tests, and risk.
  6. Treat push and PR creation as explicit user-approved actions.

If GitHub CLI is missing or unauthenticated, explain the shortest install/auth path for the current platform.

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. 15d ago Changed · +3 tokens per session 7510f604ed7c
  2. 1mo ago First seen · 31 lines · 22 tokens per session scan A 3d6541646533

Subscribe to this mod's changes

developer_pr_prep is a skill published in the GitHub repository siddsachar/row-bot (1,627 stars, last pushed today), licensed Apache-2.0. It adds 25 tokens to every session and 224 once invoked, about $0.0001 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.