A pull-request helper for GitHub. It runs checks such as linting, type checking, and tests, then prepares a summary from the commits—the recorded changes in a Git branch.

Use it to create a GitHub pull request with a suggested title, grouped changes, test information, and breaking-change notes.

It reduces the manual work of checking a branch and writing a consistent pull-request description.

pr — Skill for Claude Code by softspark/ai-toolkit

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 softspark/ai-toolkit --skill pr

Clone the repo

git clone --depth 1 https://github.com/softspark/ai-toolkit

Made for: Claude Code.

Or install ai-toolkit, the plugin that ships this one along with the rest of its 115 skills, 44 agents, 14 hooks.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/softspark/ai-toolkit/pr/github.svg)](https://agentmods.dev/skills/softspark/ai-toolkit/pr)

Your own site

<a href="https://agentmods.dev/skills/softspark/ai-toolkit/pr"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/pr/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/softspark/ai-toolkit/pr"><img src="https://agentmods.dev/badge/skills/softspark/ai-toolkit/pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,323 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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.01323
Opus 5.5	$0.00014	$0.00529
Sonnet 5.5	$0.00007	$0.00265
Haiku 4.5	$0.00004	$0.00132

Measured 1mo ago against content hash 2dcf09817729, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/pr-summary.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

app/skills/pr/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pull Request

$ARGUMENTS

Create or update the task's GitHub pull request after project-specific checks. When called by /autonomous-dev, preserve its run ID, branch, PR identity, approval history and evidence. This skill publishes the PR; the calling process owns subsequent review, QA and required-CI completion.

Project context

Inspect the actual repository, branch and working tree. Resolve the base from an existing PR first, then project configuration or the remote default branch. Do not assume a branch named main exists.

Usage

/pr [title]

Automated PR Summary Generation

Generate a structured PR summary from the commit history before writing the PR description:

python3 ${CLAUDE_SKILL_DIR}/scripts/pr-summary.py [base_branch]
# Pass the resolved PR base explicitly, for example develop.

The script outputs JSON with:

title_suggestion: auto-generated PR title from dominant commit type and scope
commits[]: each commit parsed into type, scope, description (conventional commits)
groups: commits grouped by type (Features, Bug Fixes, etc.)
summary_bullets: ready-to-use summary lines for the PR body
has_breaking: whether any BREAKING CHANGE markers were found
breaking_changes[]: list of breaking change descriptions
files_changed: total files in the diff
test_files_changed: count of test files modified
has_tests: whether the PR includes test changes

Use the output to populate the PR template fields below.

PR Creation Workflow

1. Pre-PR Checks

Read the project's instructions, CI configuration and package/Make scripts. For an autonomous run, use the commands frozen in its plan from .ai-toolkit/autonomous.json. Run the actual lint, typecheck, test and build commands applicable to that project; a Python command is not a universal gate. Inspect every result and preserve evidence of the tested commit. Missing runtime services or failed commands are blockers, never successful checks.

Read the full file on GitHub · 158 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

scripts/pr-summary.py 8.2 KB runs code

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.

1mo ago Changed · +5 lines 2dcf09817729
1mo ago First seen · 153 lines · 36 tokens per session scan A b5017357f97a

Subscribe to this mod's changes

pr is a skill published in the GitHub repository softspark/ai-toolkit (180 stars, last pushed 5d ago), licensed Apache-2.0. It adds 36 tokens to every session and 1,323 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 2026-09-03.

Claude Code Commits Git and workflow ai-agents ai-skills anthropic claude cline

git-commit

Safely create a git commit by validating repository state, staging intended changes, scanning for secrets/conflicts, generating a Conventional Commits message (repository convention first, else an English Angular default) from the staged diff, and committing without amend.

johnqtcg/awesome-skills · 52 tokens

git-workflow-helper

Guide pour les opérations Git complexes, résolution de conflits et bonnes pratiques de workflow. À utiliser quand l'utilisateur est bloqué avec Git ou veut mettre en place un workflow. Se déclenche aussi avec "git merge conflict", "comment revert", "git rebase", "branching strategy", "j'ai cassé mon git", ou toute…

khalilbenaz/claude-skills-collection · 96 tokens

github-readme

Generate, audit, or update GitHub READMEs with project-type-aware structure, voice calibration, and SEO/AEO discoverability guidance. Three modes: generate (new), audit (check existing), update (patch). Detects repo type and adapts sections, tone, and badges accordingly.

thatrebeccarae/claude-marketing · 63 tokens

safe-push

Pre-push hygiene check for GitHub repositories. Scans for PII, secrets, and sensitive data before pushing. Audits commit messages, enforces repo-specific blocklists, and rate-limits pushes to avoid GitHub abuse detection. Use before any git push, especially to public repos.