pr-review-fix-pipeline

pr-review-fix-pipeline is a skill for Claude Code from jerseycheese/agent-skills. It costs 106 tokens per session (1,556 once invoked), scanned A, original, MIT.

An automated pull-request review workflow that can apply straightforward fixes, run tests and lint checks, commit the results, and push them to the pull-request branch.

In plain words
What is it for?
Use it to review and fix a pull request on a feature branch when automatic code edits and a resulting commit are acceptable.
Why use it?
It combines review and routine repair so non-controversial issues do not require a separate manual fix cycle.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; names the TodoWrite tool; mentions Claude Code.

Part of the workflow-skills plugin — 31 skills shipped together

Good fit Use it to review and fix a pull request on a feature branch when automatic code edits and a resulting commit are acceptable.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jerseycheese/agent-skills/pr-review-fix-pipeline
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 jerseycheese/agent-skills --skill pr-review-fix-pipeline
Clone the repo
git clone --depth 1 https://github.com/jerseycheese/agent-skills

Made for: Claude Code.

Or install workflow-skills, the plugin that ships this one along with the rest of its 31 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 pr-review-fix-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/jerseycheese/agent-skills/pr-review-fix-pipeline/github.svg)](https://agentmods.dev/skills/jerseycheese/agent-skills/pr-review-fix-pipeline)
Your own site
<a href="https://agentmods.dev/skills/jerseycheese/agent-skills/pr-review-fix-pipeline"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/pr-review-fix-pipeline/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 pr-review-fix-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/jerseycheese/agent-skills/pr-review-fix-pipeline"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/pr-review-fix-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,556 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 $0.00106 $0.01556
Opus 5 $0.00053 $0.00778
Sonnet 5 $0.00021 $0.00311
Haiku 4.5 $0.00011 $0.00156

Measured 12d ago against content hash 97aad2a3f83d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pr-review-fix-pipeline 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 12d 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.

skills/pr-review-fix-pipeline/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Autonomous PR Review & Fix Pipeline

When to Use This Skill

Use this skill when:

  • You want both review AND automatic fixes in one workflow
  • PR has blocking issues that need immediate resolution
  • You trust Claude to apply non-controversial fixes (typos, lint errors, obvious bugs)
  • You want to minimize back-and-forth between review and implementation

⚠️ Important Notes

This is an autonomous workflow that will:

  • Review the PR
  • Apply fixes for blocking issues
  • Run tests and lint
  • Commit changes
  • Push to the PR branch

Only use this when:

  • You're comfortable with Claude modifying code without asking
  • The PR is on a feature branch (not main/develop)
  • You can review the resulting diff before merging

Pipeline Steps

Step 1: Fetch and Analyze

  1. Get PR information

    gh pr view [NUMBER] --json headRefName,baseRefName,title,body
    
  2. Fetch the diff (never cached)

    gh pr diff [NUMBER]
    
  3. Checkout the PR branch

    git fetch origin [HEAD_REF]
    git checkout [HEAD_REF]
    

Step 2: Categorize Issues

Analyze every file change and categorize issues:

  • [BLOCKING]: Must be fixed before merge

    • Bugs and logic errors
    • TypeScript errors
    • Breaking changes
    • Security issues
    • Missing error handling
  • [RECOMMENDATION]: Should be fixed but not critical

    • Performance improvements
    • Better patterns available
    • Code style issues
  • [NIT]: Nice-to-have improvements

    • Whitespace, formatting
    • Comment improvements
    • Variable naming

Step 3: Auto-Fix Blocking Issues

For each [BLOCKING] issue:

  1. Create a Task sub-agent to implement the fix

    Task: Fix [specific issue]
    Context: [issue description and location]
    Constraint: Only fix this specific issue, don't refactor
    
  2. Wait for sub-agent completion before proceeding to next issue

  3. Track fixes with TodoWrite for visibility

Step 4: Run Validation (with Dev Server Protection)

Read the full file on GitHub · 253 lines

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. 12d ago First seen · 253 lines · 106 tokens per session scan A 97aad2a3f83d

Subscribe to this mod's changes

pr-review-fix-pipeline is a skill published in the GitHub repository jerseycheese/agent-skills (1 stars, last pushed 10d ago), licensed MIT. It adds 106 tokens to every session and 1,556 once invoked, about $0.0005 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.