Receiving Code Review logo

Receiving Code Review

Community
andreaswasita
receiving-code-review

Processes review feedback until the change is approved.

Overview

Publisherandreaswasita
Repositorycopilot-agents-dojo
Skill namereceiving-code-review
Stars
54
Forks
15
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by andreaswasita on GitHub. Read the source before you install it.

Installation

Install the Receiving Code Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/andreaswasita/copilot-agents-dojo/tree/main/skills/receiving-code-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/andreaswasita/copilot-agents-dojo.git /tmp/copilot-agents-dojo
mkdir -p .claude/skills
cp -r /tmp/copilot-agents-dojo/skills/receiving-code-review .claude/skills/receiving-code-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Receiving Code Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Receiving Code Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Receiving Code Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Receiving Code Review Skill

Processes every review comment — human, agent, or CI — until the change is approved. Each comment is categorized, addressed, verified, and answered. Does NOT silently ignore comments and does NOT amend the original commit during active review.

When to Use

  • Review comments received on a pull request.
  • User provides corrections or improvement suggestions.
  • The requesting-code-review skill flagged issues.
  • CI/CD checks fail with actionable feedback.
  • A sub-agent's review output needs to be addressed.

Prerequisites

  • The list of comments (PR thread, CI log, or chat).
  • The view, edit, grep, and powershell Copilot tools.
  • git for new commits and gh for PR threads (when relevant).
  • A green baseline test run.

How to Run

text
1. Read every comment. Categorize by action.
2. For each comment: fix, verify, respond, mark resolved.
3. Re-run the full test suite after all fixes.
4. Re-self-review with the `requesting-code-review` skill.
5. Update `tasks/todo.md` and (if pattern recurring) `tasks/lessons.md`.
6. Request re-review with a short summary.

Quick Reference

CategoryAction
Agree — will fixFix it. No debate.
Agree — won't fix nowLog as follow-up with reason
Disagree — with evidenceRespond with reasoning and evidence
Need clarificationAsk one focused follow-up
Already addressedLink to the commit / line
PhaseTool
Read commentsgh pr view / PR UI
Apply fixedit
Verify fixpowershell → test runner
Respondgh pr comment / PR UI
Track resolutionChecklist in tasks/todo.md

Procedure

Step 1: Acknowledge and Categorize

Read every comment. Categorize each using the table above. Track them in tasks/todo.md as a Review Feedback section:

markdown
### Review Feedback (Round 1)
- [ ] Comment #1: missing error handling — agree, will fix
- [ ] Comment #2: rename for clarity — agree, will fix
- [ ] Comment #3: add pagination — agree, follow-up (out of scope)

Step 2: Address Each Comment

For every comment:

  1. Fix the issue with edit.
  2. Run the relevant tests via the powershell tool.
  3. Respond on the thread with what changed and why (cite commit SHA).
  4. Tick the checkbox in tasks/todo.md.
markdown
### Comment #1: missing error handling — @reviewer
**Action:** Added try/catch with 502 response on upstream failure (commit `abc1234`).
**Verification:** New test covers the failure path.

Step 3: Re-Verify After All Fixes

Run the full test suite — not just the tests for the changed lines. Re-run the dojo gate:

bash
bash scripts/verify.sh --check

Re-self-review with the requesting-code-review skill. Every fix is a potential new bug.

Step 4: Record Lessons If The Pattern Repeats

If review keeps catching the same shape of issue, append to tasks/lessons.md:

yaml
- date: 2026-05-19
  error_type: missing-error-handling
  trigger: "Reviewer caught missing try/catch on external API call"
  root_cause: "Did not consider failure modes for external dependencies"
  fix: "Wrapped call in retry + circuit breaker"
  rule: "Every external API call has an explicit failure path with a test"
  occurrences: 2
  status: active

Step 5: Request Re-Review

markdown
**Re-review ready**
- Addressed 2/3 comments directly
- 1 logged as follow-up (out of scope)
- All tests pass (49 total, 2 new)
- Self-review clean

Push fixes as new commits while review is active. Squash fixup commits just before merge — not during.

Pitfalls

  • DO NOT ignore a comment. Every comment gets a response, even "won't fix, here's why".
  • DO NOT be defensive. "It works in my tests" is not a response to "this could be better".
  • DO NOT force-push during active review. Reviewers lose context.
  • DO NOT fix one comment in isolation and skip retesting. Re-verify after every round.
  • DO NOT treat repeat feedback as random. If the same theme keeps coming back, log a lesson.

Verification

  • Every comment is checked off in tasks/todo.md.
  • Every comment has an explicit thread response (action + commit reference).
  • Full test suite re-run after all fixes; exit 0.
  • requesting-code-review re-run after fixes; no new 🔴 findings.
  • If a pattern repeated, tasks/lessons.md was updated.

Frequently asked questions

What does the Receiving Code Review AI skill do?

Processes review feedback until the change is approved.

Why use Receiving Code Review on TypingMind?

Because you install it once and use it with any model. Receiving Code Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Receiving Code Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/andreaswasita/copilot-agents-dojo/tree/main/skills/receiving-code-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Receiving Code Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Receiving Code Review?

As many as you like. As long as a model supports skills, you can use Receiving Code Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Receiving Code Review AI skill free?

Yes. It is published on GitHub by andreaswasita under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇