Agent skill

Grep Loop Review Workflow

by pawel-cell in pawel-cell/micky-podcast-agentic-engineering

A skill your agent uses when you have a small PR or feature and want an agent to repeatedly fix review feedback until tests pass and the PR is merge-ready.

MITAuto-check passed

Install Grep Loop Review Workflow

skills CLI
$ npx skills add pawel-cell/micky-podcast-agentic-engineering --skill grep-loop-review-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install pawel-cell/micky-podcast-agentic-engineering grep-loop-review-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/pawel-cell/micky-podcast-agentic-engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/grep-loop-review-workflow .claude/skills/grep-loop-review-workflow && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
grep-loop-review-workflow
GitHub stars
140
Token cost
~702 tokens
SKILL.md length
260 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when you have a small PR or feature and want an agent to repeatedly fix review feedback until tests pass and the PR is merge-ready.

  • Works in 6 steps: Create a small PR. → Let a review tool, AI reviewer, or human… → Feed the review back to the coding agent. → …
  • You have a small PR
  • SKILL.md covers Overview, When to Use, Review-Fix Prompt and Pre-Flight Check, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grep Loop Review Workflow is an agent skill from pawel-cell/micky-podcast-agentic-engineering. Use when you have a small PR or feature and want an agent to repeatedly fix review feedback until tests pass and the PR is merge-ready. Works with AI reviewers, Greptile-style review, or human feedback.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Micky podcast agentic engineering workflow bundle. The licence is MIT.

When your agent uses it

  • You have a small PR
  • Feature and want an agent to repeatedly fix review feedback until tests pass and the PR is merge-ready

Example prompts

  • “/grep-loop-review-workflow”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Create a small PR.
  2. Let a review tool, AI reviewer, or human inspect it.
  3. Feed the review back to the coding agent.
  4. Agent fixes the feedback.
  5. Review again.
  6. Repeat until the PR is clean and tests pass.

What it can do on your machine

Read from SKILL.md and the folder at commit ac337fe. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Grep Loop Review Workflow loads about 702 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 260 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~702

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from pawel-cell/micky-podcast-agentic-engineering at commit ac337fe, republished under its MIT licence (© pawel-cell). 260 words, ~702 tokens.

Download SKILL.mdSave it as .claude/skills/grep-loop-review-workflow/SKILL.md (or your agent's skills folder).
name
grep-loop-review-workflow
description
Use when you have a small PR or feature and want an agent to repeatedly fix review feedback until tests pass and the PR is merge-ready. Works with AI reviewers, Greptile-style review, or human feedback.
version
1.0.0
author
David Ondrej / Michael Shimeles interview notes
license
MIT

Grep Loop Review Workflow

Overview

This is an auto-research-style loop for code review:

  1. Create a small PR.
  2. Let a review tool, AI reviewer, or human inspect it.
  3. Feed the review back to the coding agent.
  4. Agent fixes the feedback.
  5. Review again.
  6. Repeat until the PR is clean and tests pass.

The loop works best when the PR is small and the success condition is clear.

When to Use

  • You have a small PR/feature ready for review.
  • Review feedback is specific enough for an agent to act on.
  • Tests or typechecks can confirm the fix.
  • You want the agent to keep going until the review is clean.

Do not use this on massive PRs or unclear product decisions.

Review-Fix Prompt

md
Run a review-fix loop for this PR.

Inputs:
- Current branch: <branch-name>
- Review feedback: <paste feedback or point to reviewer output>
- Required end state: tests pass, reviewer issues resolved, no unrelated rewrites.

Rules:
1. Read the PR diff first.
2. Read the review feedback.
3. Fix only issues that are real and relevant to this PR.
4. Add or update tests for each bug fix when possible.
5. Run the relevant tests/typechecks.
6. Commit/push the fix if this workflow is allowed to push.
7. Stop only when the PR is clean or when blocked by a decision that needs a human.

Pre-Flight Check

Before starting the loop, ask:

md
Is this PR too large for a reliable review loop? If yes, suggest how to split it.

If the answer is yes, split the PR first.

Human Guardrails

  • Use the loop on small PRs.
  • Reviewers can produce false positives.
  • Agents can over-fix and rewrite unrelated code.
  • A clean review is not proof the product is valuable; it only means this diff looks clean.

Common Pitfalls

  1. Thousands of lines in one PR. The reviewer and coding agent both lose accuracy.
  2. No tests. The loop needs objective checks, not just vibes.
  3. Blindly accepting every review comment. Some comments are wrong or irrelevant.
  4. No stop condition. Define what "done" means before starting.

Verification Checklist

  • PR is small enough to review reliably.
  • Agent read the diff before editing.
  • Agent fixed only relevant issues.
  • Tests/typechecks passed or blockers were stated.
  • Final summary lists resolved review items.

© pawel-cell, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/grep-loop-review-workflow of pawel-cell/micky-podcast-agentic-engineering.

Open the folder on GitHubat commit ac337fe

Compare with similar skills

Grep Loop Review Workflow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Grep Loop Review Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Grep Loop Review Workflow this skillpawel-cell/micky-podcast-agentic-engineering140—~702Automated safety check: PassMIT
ast-grep Structural Searchcode-yeongyu/oh-my-openagent70k—~3.3kAutomated safety check: PassMIT
Ast Grepccusage/ccusage19k—~296Automated safety check: PassCustom licence
Grepopenakita/openakita2k—~296Automated safety check: PassAGPL-3.0
Zvec Grep InstallQwenLM/qwen-code28k—~565Automated safety check: PassApache-2.0
React Audit Grep Patternsgithub/awesome-copilot40k1 repos~461Automated safety check: PassMIT

Similar skills

  • ast-grep Structural Search

    code-yeongyu/oh-my-openagent

    Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.

    70k GitHub stars~3.3k tokensUpdated today
    DevelopmentAuto-check passed
  • Ast Grep

    ccusage/ccusage

    Guides ccusage structural code searches with ast-grep. An agent skill from ccusage/ccusage.

    19k GitHub stars~296 tokensUpdated today
    DevelopmentAuto-check passed
  • Grep

    openakita/openakita

    Search file contents using regex pattern across directories.

    2k GitHub stars~296 tokensUpdated 15 days ago
    Auto-check passed
  • Zvec Grep Install

    QwenLM/qwen-code

    Install zvec-grep (zg) and connect it to Qwen Code. An agent skill from QwenLM/qwen-code.

    28k GitHub stars~565 tokensUpdated today
    Auto-check passed
  • React Audit Grep Patterns

    github/awesome-copilot

    Official

    Provides the complete, verified grep scan command library for auditing React codebases before a React 18.3.1 or React 19 upgrade.

    40k GitHub starsUsed in 1 repo~461 tokens
    Auto-check passed
  • Web3 Smart Contract Grep Arsenal

    tradecatlabs/vibe-coding-cn

    A master set of ten grep command blocks that surface likely vulnerability classes in Solidity source within the first 30 minutes of auditing a new protocol.

    17k GitHub starsUsed in 2 repos~3.3k tokens
    SecurityAuto-check passed

More from pawel-cell/micky-podcast-agentic-engineering

  • Agentic Engineering Workflow

    pawel-cell/micky-podcast-agentic-engineering

    A skill your agent uses when building software with AI agents and you need a serious end-to-end workflow instead of vibe coding.

    140 GitHub stars~1.2k tokensUpdated 4 mo ago
    Auto-check passed
  • Source Code Context

    pawel-cell/micky-podcast-agentic-engineering

    A skill your agent uses when an AI coding agent is guessing API names or framework behavior from incomplete docs.

    140 GitHub stars~800 tokensUpdated 4 mo ago
    Auto-check passed
  • Code Structure Cleanup

    pawel-cell/micky-podcast-agentic-engineering

    Use after an AI-built feature works but the code has duplicated mechanics, repeated API calls, or messy structure.

    140 GitHub stars~755 tokensUpdated 4 mo ago
    Auto-check passed

Questions about Grep Loop Review Workflow

What does Grep Loop Review Workflow do?

A skill your agent uses when you have a small PR or feature and want an agent to repeatedly fix review feedback until tests pass and the PR is merge-ready. Grep Loop Review Workflow is an agent skill from pawel-cell/micky-podcast-agentic-engineering. Use when you have a small PR or feature and want an agent to repeatedly fix review feedback until tests pass and the PR is merge-ready.

When should I use Grep Loop Review Workflow?

Grep Loop Review Workflow fits situations like: you have a small PR; feature and want an agent to repeatedly fix review feedback until tests pass and the PR is merge-ready.

How do I install Grep Loop Review Workflow in Claude Code?

Run `npx skills add pawel-cell/micky-podcast-agentic-engineering --skill grep-loop-review-workflow -a claude-code`. Or copy the skill folder (skills/grep-loop-review-workflow in pawel-cell/micky-podcast-agentic-engineering) into .claude/skills/grep-loop-review-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Grep Loop Review Workflow in Codex?

Run `npx skills add pawel-cell/micky-podcast-agentic-engineering --skill grep-loop-review-workflow -a codex`. Or copy the skill folder (skills/grep-loop-review-workflow in pawel-cell/micky-podcast-agentic-engineering) into .agents/skills/grep-loop-review-workflow in your project. Codex loads it when a task matches its description.

Can I use Grep Loop Review Workflow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pawel-cell/micky-podcast-agentic-engineering --skill grep-loop-review-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grep-loop-review-workflow, .gemini/skills/grep-loop-review-workflow, .github/skills/grep-loop-review-workflow and .opencode/skills/grep-loop-review-workflow in your project.

What does Grep Loop Review Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Grep Loop Review Workflow is instructions for the agent only.

Does Grep Loop Review Workflow access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Grep Loop Review Workflow safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Grep Loop Review Workflow use?

Grep Loop Review Workflow is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Grep Loop Review Workflow use?

About 702 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Grep Loop Review Workflow?

Skills that share tags, products or a category with Grep Loop Review Workflow: ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars), Ast Grep (ccusage/ccusage, 19k stars), Grep (openakita/openakita, 2k stars) and Zvec Grep Install (QwenLM/qwen-code, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grep Loop Review Workflow?

pawel-cell (a GitHub user) maintains it in pawel-cell/micky-podcast-agentic-engineering, which has 140 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on May 19, 2026.

Source: pawel-cell/micky-podcast-agentic-engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.