pull-request-workflow

pull-request-workflow is a skill for Claude Code, Codex from yuri-semenenko/ai-engineering-workspace. It costs 38 tokens per session (754 once invoked), scanned A, original, MIT.

A workflow for reviewing GitHub pull requests and writing pull-request descriptions. A pull request is a proposed code change submitted for review before it is merged.

In plain words
What is it for?
Use it to review changes, classify findings as critical, important, or optional, prepare GitHub-ready feedback, or draft a pull-request description.
Why use it?
It makes review comments consistent by focusing on real risks, assigning severity, and linking each finding to a file and line.

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/yuri-semenenko/ai-engineering-workspace/pull-request-workflow
Any agent
npx skills add yuri-semenenko/ai-engineering-workspace --skill pull-request-workflow
Clone the repo
git clone --depth 1 https://github.com/yuri-semenenko/ai-engineering-workspace

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-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/yuri-semenenko/ai-engineering-workspace/pull-request-workflow.svg)](https://agentmods.dev/skills/yuri-semenenko/ai-engineering-workspace/pull-request-workflow)
Your own site
<a href="https://agentmods.dev/skills/yuri-semenenko/ai-engineering-workspace/pull-request-workflow"><img src="https://agentmods.dev/badge/skills/yuri-semenenko/ai-engineering-workspace/pull-request-workflow.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 754 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00038 $0.00754
Opus 5 $0.00019 $0.00377
Sonnet 5 $0.00008 $0.00151
Haiku 4.5 $0.00004 $0.00075

Measured 3d ago against content hash b650439ad014, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pull-request-workflow 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 3d 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.

codex/skills/pull-request-workflow/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pull Request Workflow

Support two related jobs: reviewing PRs and drafting PR descriptions. Use English for GitHub markdown unless the user explicitly asks otherwise.

PR Review

Lead with findings. Classify every meaningful comment:

  • Critical — correctness, security, reliability, data loss, auth bypass, broken happy path, severe regression.
  • Important — maintainability, scalability, readability, missing tests for non-trivial logic, misleading boundaries.
  • Optional — style or preference only when ignoring it has a real cost. Drop pure nitpicks.

Rules:

  • Verify PR scope with gh pr view, PR URL/number, or git diff <base>...HEAD.
  • Read the tests and PR description first to recover intended behavior, then read the implementation against that intent.
  • Read enough surrounding code to validate each finding.
  • Cite path:line for every issue.
  • Order by severity, not by file.
  • Classification is severity, not certainty: when unsure a finding is real, phrase it as a question, not an assertion, and do not inflate a Critical you cannot fully trace.
  • Delegate the reading, keep the ruling. Run the same sequence every review, not only on large diffs: a cheaper-tier subagent orients on the changed surface, subagents gather by angle (correctness, tests, security when the surface is sensitive, performance) returning compact findings with path:line, and classification plus the verdict stay on the main model. A subagent finding is evidence, not a ruling.
  • End with verdict: approve, request changes, or needs discussion.

Format:

## Summary
<scope and verdict>

## Critical
- `path/to/file.ts:42` — <issue> — <impact> — <suggested fix>

## Important
_None._

## Optional
_None._

## Verdict
<approve | request changes | needs discussion> — <one sentence>

Review Loop

For non-trivial PRs or when the user asks for a deeper pass, run the review as a loop:

  1. Establish scope from the PR, issue, branch name, template, and diff.
  2. Inspect from independent angles: correctness/regression risk, tests/validation, maintainability, and security/performance only when the diff touches those surfaces.
  3. Merge findings into one ordered review. Do not duplicate comments across angles.
  4. Split feedback into fixes worth doing now, optional improvements, and items to defer or ignore with a short reason.
  5. If the user asks for autofix, apply only fixes worth doing now, then rerun targeted verification and inspect the final diff.

Read the full file on GitHub · 73 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.

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. 3d ago First seen · 73 lines · 38 tokens per session scan A b650439ad014

Subscribe to this mod's changes

pull-request-workflow is a skill published in the GitHub repository yuri-semenenko/ai-engineering-workspace (1 stars, last pushed 5d ago), licensed MIT. It adds 38 tokens to every session and 754 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories