pull-request-expert

pull-request-expert is a skill for Claude Code, Codex from jggomez/expert-ai-developer-skills. It costs 52 tokens per session (966 once invoked), scanned A, original, Apache-2.0.

Prepare, audit, and author concise ( /test-matrix.md links, and transparent BLOCKED/SKIPPED gate disclosure.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Install with agentmods
npx agentmods add skills/jggomez/expert-ai-developer-skills/pull-request-expert
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 jggomez/expert-ai-developer-skills --skill pull-request-expert
Clone the repo
git clone --depth 1 https://github.com/jggomez/expert-ai-developer-skills

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 pull-request-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/pull-request-expert/github.svg)](https://agentmods.dev/skills/jggomez/expert-ai-developer-skills/pull-request-expert)
Your own site
<a href="https://agentmods.dev/skills/jggomez/expert-ai-developer-skills/pull-request-expert"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/pull-request-expert/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-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/jggomez/expert-ai-developer-skills/pull-request-expert"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/pull-request-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 966 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.
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 $0.00052 $0.00966
Opus 5.5 $0.00021 $0.00386
Sonnet 5.5 $0.00010 $0.00193
Haiku 4.5 $0.00005 $0.00097

Measured today against content hash 1053200a714f, 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-expert 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 today.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_pr_content.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.

plugins/antigravity/git-workflow/skills/pull-request-expert/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pull Request Expert Skill

Overview

This skill guides branch partitioning, commit history auditing, and authoring concise, high-signal Pull Request (PR) descriptions (<= 40 lines). Acting as a Lead Release Engineer, it enforces reviewable diffs (< 200–400 LOC), Conventional Commits, empirical links to docs/<feature-name>/test-matrix.md, and Fail-Honest disclosure of any BLOCKED or SKIPPED verification gates.

When to Use

Trigger Scenarios

  • Preparing a feature, fix, refactor, or chore branch for Pull Request submission.
  • Auditing branch naming and commit messages against Conventional Commits standards.
  • Authoring Zero-Fluff PR descriptions (<= 40 lines) backed by empirical test evidence.
  • Performing pre-PR self-review to catch debug leftovers and verify honest gate statuses.

When NOT to Use

  • Validating a single local commit message: Route to commit-expert.
  • Authoring CI/CD workflow YAML: Route to build-and-ci-gates.
  • Formal OWASP & architectural sign-off: Route to compliance-verifier.

Process

Phase 1: Scope Partitioning & Branch Naming

Keep each PR focused on one cohesive capability (< 200–400 LOC when feasible) on a Conventional branch (feat/<slug>, fix/<slug>, refactor/<slug>, chore/<slug>).

Phase 2: Automated Branch & Commit History Audit

Verify branch naming and Conventional Commit compliance across branch commits:

python3 ./skills/pull-request-expert/scripts/validate_pr_content.py

Phase 3: Self-Review & Concise Fail-Honest PR Description (<= 40 lines)

  1. Inspect git diff to remove stray debug statements (print, console.log), dead code, or secret leaks.
  2. Author a Zero-Fluff PR description strictly <= 40 lines:
    • Summary & Key Changes: 2–5 bullets stating why and what changed.
    • Verification & Test Matrix: Exact commands executed with exit codes, linking docs/<feature-name>/test-matrix.md when present.
    • Fail-Honest Gate Status: Explicitly disclose any BLOCKED or SKIPPED verification gates (e.g., E2E browser checks without a live server/Chromium or unavailable staging env) and why — never check off or claim untested checks passed.

Read the full file on GitHub · 69 lines

Files

What ships with it

3 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. today First seen · 69 lines · 52 tokens per session scan A 1053200a714f

Subscribe to this mod's changes

pull-request-expert is a skill published in the GitHub repository jggomez/expert-ai-developer-skills (30 stars, last pushed yesterday), licensed Apache-2.0. It adds 52 tokens to every session and 966 once invoked, about $0.0002 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 2026-11-06.

Related

pull-request-expert compared with skills from other repositories

pull-request-expert next to 6 skills from other repositories
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pull-request-expertjggomez/expert-ai-developer-skillsSkill30yesterdayApache-2.0A52Claude Code, Codex
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conventional-commitJanDeDobbeleer/oh-my-poshSkill24k2d agoMITA26Claude Code, Codex
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ratchet-filesdzhng/skillsSkill1.4k2d agoMITA118Claude Code, Codex
git-guardrails-claude-codevinvcn/mattpocock-skills-zh-CNSkill5.6k9d agoMITB68Claude Code, Codex