pull-request

pull-request is a skill for Claude Code from technicalpickles/pickled-claude-plugins. It costs 0 tokens per session (2,265 once invoked), scanned A, original, MIT.

A workflow for writing and sending messages connected to GitHub pull requests, proposed code changes awaiting review. It prepares pull-request descriptions and comments in draft files before sending them.

In plain words
What is it for?
Use it to create or update a pull request description, or write a comment or reply to review feedback.
Why use it?
It helps keep review communication clear and gives you a checkpoint before creating, editing, or commenting on a pull request.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the git plugin — 8 skills shipped together

Good fit Use it to create or update a pull request description, or write a comment or reply to review feedback.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/technicalpickles/pickled-claude-plugins/pull-request
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 technicalpickles/pickled-claude-plugins --skill pull-request
Clone the repo
git clone --depth 1 https://github.com/technicalpickles/pickled-claude-plugins

Made for: Claude Code.

Or install git, the plugin that ships this one along with the rest of its 8 skills.

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 pull-request

README.md
[![agentmods](https://agentmods.dev/badge/skills/technicalpickles/pickled-claude-plugins/pull-request/github.svg)](https://agentmods.dev/skills/technicalpickles/pickled-claude-plugins/pull-request)
Your own site
<a href="https://agentmods.dev/skills/technicalpickles/pickled-claude-plugins/pull-request"><img src="https://agentmods.dev/badge/skills/technicalpickles/pickled-claude-plugins/pull-request/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 pull-request

Your own site · 80×15
<a href="https://agentmods.dev/skills/technicalpickles/pickled-claude-plugins/pull-request"><img src="https://agentmods.dev/badge/skills/technicalpickles/pickled-claude-plugins/pull-request.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,265 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 80
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 102
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00000 $0.02265
Opus 5.5 $0.00000 $0.00906
Sonnet 5.5 $0.00000 $0.00453
Haiku 4.5 $0.00000 $0.00227

Measured 29d ago against content hash 0eaea991333b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pull-request 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 29d 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.

plugins/git/skills/pull-request/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Authoring PR communication that respects busy reviewers. All bodies and comments are drafted to .scratch/pr-bodies/ first. For creation the draft is the audit record, written then used immediately; for updates and comments it's also a review checkpoint. Anti-patterns (metrics, diff-noise, H1 headings) are avoided. Manual edits are detected before overwriting.

Operations

Operation Typical phrasing gh command at end
Create "create/draft/open/file a PR", "push and PR it" gh pr create --body-file
Update body "update the PR body", "rewrite the PR description" gh pr edit --body-file
Comment "comment on the PR", "reply to review feedback" gh pr comment --body-file

Routing ambiguous requests

"update the PR" is ambiguous:

  • No PR exists: error and offer to create
  • PR has no reviews: update body
  • PR has reviews: ask whether to update body or add a comment

Prefer body update when there are no reviews yet, the user says "update the description", or scope changed. Prefer comment when reviews are in, the user is responding to feedback, or they want to notify watchers (comments generate notifications, body updates do not).

Content principles

Follow repo conventions first

Check for a PR template (.github/pull_request_template.md, .github/PULL_REQUEST_TEMPLATE.md, .github/PULL_REQUEST_TEMPLATE/*.md) and CONTRIBUTING.md (also .github/CONTRIBUTING.md, docs/CONTRIBUTING.md). If a template exists, follow it exactly.

Default body structure (no template)

## Summary

- Material impact point 1
- Material impact point 2 (2-4 bullets total)

## Test plan

- How to verify (only if non-obvious)

<attribution footer, if your environment requires one>

Optional sections based on context: ## Breaking changes, ## Migration notes, ## Follow-up work.

If your instructions require an attribution footer on PR bodies (for example a "Generated with ..." line), append it as the last line of the body. It isn't a section; don't give it a heading.

Read the full file on GitHub · 170 lines

Files

What ships with it

2 files 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.

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. 29d ago Changed · +11 lines 0eaea991333b
  2. 1mo ago First seen · 159 lines · 0 tokens per session scan A 40a90910203b

Subscribe to this mod's changes

pull-request is a skill published in the GitHub repository technicalpickles/pickled-claude-plugins (11 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,265 tokens. 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

ecosystem-managing

A codebase maintenance guide covering releases, cleanup, and project handoffs. A release means publishing a new software version; a handoff is documentation that helps another developer take over the project.

VidyFoo/antigravity-skill-engine · 27 tokens

release

A release-preparation workflow for software projects. It covers checks before publishing, version-number updates, changelog and documentation updates, and deployment checks.

u9401066/template-is-all-you-need · 60 tokens

git-precommit

A pre-commit workflow that coordinates updates to project memory, documentation, changelogs, roadmaps, architecture notes, and commit messages before code is saved to Git.

u9401066/template-is-all-you-need · 92 tokens

Worktree Manager

Manage git worktrees for parallel development with conflict prevention and wave-aware execution strategy. Use when creating feature branches, starting parallel work sessions, merging worktree PRs, or coordinating multiple Claude sessions.

smith-horn/product-builder-starter · 43 tokens

commit-message

A guide for writing clear, traceable Git commit messages using the Conventional Commits format, which labels changes such as features, bug fixes, documentation, and refactoring.

Lion-1209/Lion-Skills · 15 tokens

datalad

Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink…

K-Dense-AI/scientific-agent-skills · 147 tokens