Agent skill

Reviewing GitLab Mr Comments

by hashgraph-online in hashgraph-online/awesome-codex-plugins

A skill your agent uses when reviewing GitLab merge request comments via glab in the current repo, including extracting line ranges and code snippets from inline discussions, then deciding next…

Apache-2.0Auto-check passed

Install Reviewing GitLab Mr Comments

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill reviewing-gitlab-mr-comments -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins reviewing-gitlab-mr-comments --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/yyykf/spellbook-skills/skills/reviewing-gitlab-mr-comments .claude/skills/reviewing-gitlab-mr-comments && 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
reviewing-gitlab-mr-comments
GitHub stars
1.3k
Token cost
~1.1k tokens
SKILL.md length
456 words
Files
2 (incl. scripts)
Skills in repo
714
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when reviewing GitLab merge request comments via glab in the current repo, including extracting line ranges and code snippets from inline discussions, then deciding next…

  • Works in 6 steps: Fetch MR and Comments → Summarize Feedback → Confirm Understanding → …
  • Reviewing GitLab merge request comments via glab in the current repo
  • SKILL.md covers Overview, Prerequisites, Inputs and Workflow, plus 3 more sections
  • Runs Python scripts from its folder; calls glab and python3; reaches gitlab.com

What it does

Reviewing GitLab Mr Comments is an agent skill from hashgraph-online/awesome-codex-plugins. Use when reviewing GitLab merge request comments via glab in the current repo, including extracting line ranges and code snippets from inline discussions, then deciding next actions with a checklist or plan before execution

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/mr_discussions_to_md.py`).

It works with GitLab. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Reviewing GitLab merge request comments via glab in the current repo
  • Including extracting line ranges and code snippets from inline discussions
  • Then deciding next actions with a checklist
  • Plan before execution

Example prompts

  • “/reviewing-gitlab-mr-comments”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Fetch MR and Comments
  2. Summarize Feedback
  3. Confirm Understanding
  4. Decide Checklist vs Plan
  5. Propose Next Steps
  6. Execute After Approval

What it can do on your machine

Read from SKILL.md and the folder at commit 9e7b281. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • glab
    • python3

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • gitlab.com

    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

Reviewing GitLab Mr Comments loads about 1.1k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 456 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 9e7b281, republished under its Apache-2.0 licence (© hashgraph-online). 456 words, ~1,133 tokens.

Download SKILL.mdSave it as .claude/skills/reviewing-gitlab-mr-comments/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
reviewing-gitlab-mr-comments
description
Use when reviewing GitLab merge request comments via glab in the current repo, including extracting line ranges and code snippets from inline discussions, then deciding next actions with a checklist or plan before execution

Reviewing GitLab MR Comments

Overview

Use glab to fetch MR comments in the current repository, summarize review feedback, confirm understanding, then propose either a simple action checklist or a full plan before executing changes. Prefer line_range for multi-line comments. Default output is comments + line ranges only (no code snippet).

Core principle: Read all comments → confirm understanding → choose checklist vs plan → get approval → execute.

Announce at start: "I'm using the reviewing-gitlab-mr-comments skill to review GitLab MR feedback."

Prerequisites

  • glab installed and authenticated.
  • Run from the local repository that owns the MR.

Optional checks:

bash
glab auth status

Inputs

Accept either:

  • MR IID (e.g., 123)
  • MR URL (e.g., https://gitlab.com/group/project/-/merge_requests/123)

If not provided, ask for it.

Workflow

Step 1: Fetch MR and Comments

Prefer glab commands, using IID or URL:

bash
glab mr view <mr> --comments

If you need to see the code under review:

bash
glab mr diff <mr>

If you need to map comments to files/lines (and include multi-line ranges), query discussions:

bash
project_id=$(glab repo view -F json | python3 - <<'PY'
import json,sys
print(json.load(sys.stdin)["id"])
PY
)
glab api "projects/${project_id}/merge_requests/<mr>/discussions"

Then format discussions into a readable list with ranges (comments + line numbers only):

bash
glab api "projects/${project_id}/merge_requests/<mr>/discussions" | \
  ./scripts/mr_discussions_to_md.py

To include code snippets (with context lines) and still show comments:

bash
glab api "projects/${project_id}/merge_requests/<mr>/discussions" | \
  ./scripts/mr_discussions_to_md.py --repo-root "$(pwd)" --context 3 --snippet

Notes:

  • The formatter prefers position.line_range.start/end. It falls back to new_line/old_line only when no range exists.
  • If files are missing (e.g., deleted or not in the current checkout), the snippet will be marked unavailable.
  • Use --snippet to enable snippet output; default is no snippet.
Step 2: Summarize Feedback

Produce a structured summary:

  • By thread or file
  • Actionable requests vs questions
  • Conflicts or ambiguity
Step 3: Confirm Understanding

Ask the user to confirm the summary or clarify any ambiguous items.

Step 4: Decide Checklist vs Plan

Use a simple action checklist when:

  • Changes are localized
  • No architectural changes
  • 1–2 files, low risk

Use a plan when:

  • Multiple files/modules
  • Conflicting comments or tradeoffs
  • Non-trivial refactor or behavior changes
Show full SKILL.md (171 more words)Show less
Step 5: Propose Next Steps

Checklist output (simple cases):

  • Bullet list of concrete actions
  • Verification steps

Plan output (complex cases):

  • Phased steps with file targets
  • Risks and validations

Then ask for approval: "Do you want me to proceed?"

Step 6: Execute After Approval

Only implement after the user confirms.

Quick Reference

StepAction
Identify MRAccept IID or URL; ask if missing
Fetch commentsglab mr view <mr> --comments
Fetch rangesglab api ".../merge_requests/<mr>/discussions"
Format./scripts/mr_discussions_to_md.py --repo-root "$(pwd)"
SummarizeGroup by thread/file; mark conflicts
Choose outputChecklist for simple; plan for complex
ExecuteOnly after approval

Common Mistakes

Skipping understanding confirmation

  • Problem: Misinterprets review intent
  • Fix: Ask for confirmation before planning

Jumping to code changes

  • Problem: Skips the plan/approval gate
  • Fix: Always ask for approval

Using the wrong repository context

  • Problem: Fetches the wrong MR
  • Fix: Run in the repo that owns the MR

Only using single-line fields

  • Problem: Inline comments are multi-line in GitLab but appear as a single line
  • Fix: Prefer position.line_range.start/end and only fall back to new_line/old_line

Example

MR: 123

Summary:
- fileA.ts: fix null handling
- fileB.ts: add tests

This is small and localized.

Checklist:
1) Fix null handling in fileA.ts
2) Add tests in fileB.ts
3) Run build/compile

Proceed?

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in plugins/yyykf/spellbook-skills/skills/reviewing-gitlab-mr-comments of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • scripts/mr_discussions_to_md.py

Open the folder on GitHubat commit 9e7b281

Compare with similar skills

Reviewing GitLab Mr Comments 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.

Reviewing GitLab Mr Comments compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reviewing GitLab Mr Comments this skillhashgraph-online/awesome-codex-plugins1.3k—~1.1kAutomated safety check: PassApache-2.0
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
Visual Reviewai-dynamo/dynamo8.3k—~4.5kAutomated safety check: PassApache-2.0
Debate ReviewamElnagdy/review-skills1322 repos~986Automated safety check: PassMIT
Megatron-LM Base Image BumpNVIDIA/Megatron-LM18k—~2.8kAutomated safety check: PassApache-2.0

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Works with

Questions about Reviewing GitLab Mr Comments

What does Reviewing GitLab Mr Comments do?

A skill your agent uses when reviewing GitLab merge request comments via glab in the current repo, including extracting line ranges and code snippets from inline discussions, then deciding next…. Reviewing GitLab Mr Comments is an agent skill from hashgraph-online/awesome-codex-plugins.

When should I use Reviewing GitLab Mr Comments?

Reviewing GitLab Mr Comments fits situations like: reviewing GitLab merge request comments via glab in the current repo; including extracting line ranges and code snippets from inline discussions; then deciding next actions with a checklist; plan before execution.

How do I install Reviewing GitLab Mr Comments in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill reviewing-gitlab-mr-comments -a claude-code`. Or copy the skill folder (plugins/yyykf/spellbook-skills/skills/reviewing-gitlab-mr-comments in hashgraph-online/awesome-codex-plugins) into .claude/skills/reviewing-gitlab-mr-comments in your project. Claude Code loads it when a task matches its description.

How do I install Reviewing GitLab Mr Comments in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill reviewing-gitlab-mr-comments -a codex`. Or copy the skill folder (plugins/yyykf/spellbook-skills/skills/reviewing-gitlab-mr-comments in hashgraph-online/awesome-codex-plugins) into .agents/skills/reviewing-gitlab-mr-comments in your project. Codex loads it when a task matches its description.

Can I use Reviewing GitLab Mr Comments 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 hashgraph-online/awesome-codex-plugins --skill reviewing-gitlab-mr-comments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reviewing-gitlab-mr-comments, .gemini/skills/reviewing-gitlab-mr-comments, .github/skills/reviewing-gitlab-mr-comments and .opencode/skills/reviewing-gitlab-mr-comments in your project.

What does Reviewing GitLab Mr Comments need to run?

Going by SKILL.md and its folder, Reviewing GitLab Mr Comments needs Python for the scripts in its folder and the command-line tools its instructions call (glab and python3). Our summary lists: Python 3.

Does Reviewing GitLab Mr Comments access the network?

SKILL.md names 1 domain. In commands or code: gitlab.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Reviewing GitLab Mr Comments 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Reviewing GitLab Mr Comments use?

Reviewing GitLab Mr Comments is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reviewing GitLab Mr Comments use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 Reviewing GitLab Mr Comments?

Skills that share tags, products or a category with Reviewing GitLab Mr Comments: Greploop (onyx-dot-app/onyx, 32k stars), Check PR (onyx-dot-app/onyx, 32k stars), Visual Review (ai-dynamo/dynamo, 8.3k stars) and Debate Review (amElnagdy/review-skills, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reviewing GitLab Mr Comments?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.