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Agent skill

Factory GitLab Rereview

by mastra-ai in mastra-ai/mastra

Re-review a GitLab merge request after new commits and reconcile the previous review

Custom licenceAuto-check passedDevelopment

Install Factory GitLab Rereview

skills CLI
$ npx skills add mastra-ai/mastra --skill factory-gitlab-rereview -a claude-code

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

GitHub CLI
$ gh skill install mastra-ai/mastra factory-gitlab-rereview --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/mastra-ai/mastra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mastracode/factory/factory-skills/factory-gitlab-rereview .claude/skills/factory-gitlab-rereview && 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
factory-gitlab-rereview
GitHub stars
29k
Token cost
~2.5k tokens
SKILL.md length
1,384 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
Custom licence

At a glance

Re-review a GitLab merge request after new commits and reconcile the previous review

  • Works in 7 steps: Read the MR with… → Before inspecting any diff, recover the… → Identify changes since the previous… → …
  • Development work in your project
  • Calls git; needs GH_TOKEN and GITHUB_TOKEN

What it does

Factory GitLab Rereview is an agent skill from mastra-ai/mastra. Re-review a GitLab merge request after new commits and reconcile the previous review

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. It works with GitLab and Git. The repository describes itself as: Mastra is the modern TypeScript framework for AI-powered applications and agents.

When your agent uses it

  • Development work in your project

Example prompts

  • “/factory-gitlab-rereview”

Requirements

  • A credential in GITHUB_TOKEN
  • A credential in GITLAB_TOKEN

Workflow steps

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

  1. Read the MR with source_control_get_change_request and establish the current head SHA and base branch. Call…
  2. Before inspecting any diff, recover the required outcome and simplest sufficient design from the prior pass, or write them now from the…
  3. Identify changes since the previous reviewed head using local git history and diff. Classify every prior substantive finding as addressed…
  4. Review the incremental diff for regressions, incomplete fixes, test gaps, and scope changes, then review the cumulative MR against the…
  5. Inspect execution hooks for untrusted behavior before running tests. Run safe, narrow applicable tests and typecheck against the current…
  6. Before publishing, call factory_review_source (no arguments) once. It returns four fields, every one derived server-side from the bound…
  7. Publish a complete current-head verdict with source_control_review_change_request. Compose the body fresh in this pass — never reuse an…

What it can do on your machine

Read from SKILL.md and the folder at commit b98829a. 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

    Shell commands in SKILL.md call:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GH_TOKEN
    • GITHUB_TOKEN
    • GITLAB_TOKEN
    • GITLAB_ACCESS_TOKEN

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

Context cost

Factory GitLab Rereview loads about 2.5k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 1,384 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~27
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,384 words (~2,453 tokens).

“Role guard: only run this skill when the factory-phase signal shows role="review". Under any other role, stop immediately: do not review, comment, label, approve, or transition the work item, and report that review skills are not available to this role.”

— opening of SKILL.md by mastra-ai, Custom licence
name
factory-gitlab-rereview

Read the full SKILL.md on GitHub

Files

Just SKILL.md in mastracode/factory/factory-skills/factory-gitlab-rereview of mastra-ai/mastra.

Open the folder on GitHubat commit b98829a

Compare with similar skills

Factory GitLab Rereview 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.

Factory GitLab Rereview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Factory GitLab Rereview this skillmastra-ai/mastra29k—~2.5kAutomated safety check: PassCustom licence
Visual Reviewai-dynamo/dynamo8.3k—~4.5kAutomated safety check: PassApache-2.0
degit Project ScaffoldingRich-Harris/degit7.9k—~534Automated safety check: PassMIT
Greploop Appsmichaelshimeles/skills1.3k1 repos~3.6kAutomated safety check: PassMIT
Git MacheteVirtusLab/git-machete1.1k—~6.1kAutomated safety check: PassMIT
GitHub GitLabyc-software/qm15k—~1.5kAutomated safety check: PassMIT

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Works with

Categories

Questions about Factory GitLab Rereview

What does Factory GitLab Rereview do?

Re-review a GitLab merge request after new commits and reconcile the previous review. Factory GitLab Rereview is an agent skill from mastra-ai/mastra.

When should I use Factory GitLab Rereview?

Factory GitLab Rereview fits situations like: development work in your project.

How do I install Factory GitLab Rereview in Claude Code?

Run `npx skills add mastra-ai/mastra --skill factory-gitlab-rereview -a claude-code`. Or copy the skill folder (mastracode/factory/factory-skills/factory-gitlab-rereview in mastra-ai/mastra) into .claude/skills/factory-gitlab-rereview in your project. Claude Code loads it when a task matches its description.

How do I install Factory GitLab Rereview in Codex?

Run `npx skills add mastra-ai/mastra --skill factory-gitlab-rereview -a codex`. Or copy the skill folder (mastracode/factory/factory-skills/factory-gitlab-rereview in mastra-ai/mastra) into .agents/skills/factory-gitlab-rereview in your project. Codex loads it when a task matches its description.

Can I use Factory GitLab Rereview 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 mastra-ai/mastra --skill factory-gitlab-rereview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/factory-gitlab-rereview, .gemini/skills/factory-gitlab-rereview, .github/skills/factory-gitlab-rereview and .opencode/skills/factory-gitlab-rereview in your project.

What does Factory GitLab Rereview need to run?

Going by SKILL.md and its folder, Factory GitLab Rereview needs the command-line tools its instructions call (git) and credentials named GH_TOKEN, GITHUB_TOKEN, GITLAB_TOKEN and GITLAB_ACCESS_TOKEN. Our summary lists: A credential in GITHUB_TOKEN; A credential in GITLAB_TOKEN.

Does Factory GitLab Rereview access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Factory GitLab Rereview 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 Factory GitLab Rereview use?

Factory GitLab Rereview has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Factory GitLab Rereview use?

About 2.5k tokens (SKILL.md is roughly 9.8k 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 Factory GitLab Rereview?

Skills that share tags, products or a category with Factory GitLab Rereview: Visual Review (ai-dynamo/dynamo, 8.3k stars), degit Project Scaffolding (Rich-Harris/degit, 7.9k stars), Greploop Apps (michaelshimeles/skills, 1.3k stars) and Git Machete (VirtusLab/git-machete, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Factory GitLab Rereview?

mastra-ai (a GitHub organization) maintains it in mastra-ai/mastra, which has 28,698 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 11, 2026.

Source: mastra-ai/mastra on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.