Agent skill

Factory GitLab Review

by mastra-ai in mastra-ai/mastra

Review a GitLab merge request for a Factory work item using brokered source-control tools

Custom licenceAuto-check passedDevelopment

Install Factory GitLab Review

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

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

GitHub CLI
$ gh skill install mastra-ai/mastra factory-gitlab-review --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-review .claude/skills/factory-gitlab-review && 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-review
GitHub stars
29k
Token cost
~3.4k tokens
SKILL.md length
1,969 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
Custom licence

At a glance

Review a GitLab merge request for a Factory work item using brokered source-control tools

  • Works in 5 steps: Extract the numeric MR IID from the… → Establish the intended behavior… → Paginate… → …
  • Development work in your project
  • SKILL.md covers Security and scope, Review pass and Verdict and handoff
  • Calls git; needs GH_TOKEN and GITHUB_TOKEN

What it does

Factory GitLab Review is an agent skill from mastra-ai/mastra. Review a GitLab merge request for a Factory work item using brokered source-control tools

Its SKILL.md is about 3.4k 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. 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-review”

Requirements

  • A credential in GITHUB_TOKEN
  • A credential in GITLAB_TOKEN

Workflow steps

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

  1. Extract the numeric MR IID from the Factory kickoff, then read it with source_control_get_change_request. Confirm it is the expected MR in…
  2. Establish the intended behavior independently from the MR description, related issue, repository contract, tests, and relevant history…
  3. Paginate source_control_list_change_request_reviews, source_control_list_change_request_comments, and source_control_list_diff_comments to…
  4. Inspect the diff for security, correctness, error paths, API compatibility, and meaningful tests. Execute the narrowest relevant…
  5. Before any verdict, scrutinize your own requested changes as critically as the MR: establish why each belongs in this MR, assume the…

What it can do on your machine

Read from SKILL.md and the folder at commit fecbeda. 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 Review loads about 3.4k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 1,969 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k

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 1,969 words (~3,410 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-review

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit fecbeda

Compare with similar skills

Factory GitLab Review 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 Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Factory GitLab Review this skillmastra-ai/mastra29k—~3.4kAutomated safety check: PassCustom licence
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~1.1kAutomated safety check: PassMIT
degit Project ScaffoldingRich-Harris/degit7.9k—~534Automated safety check: PassMIT

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Works with

Categories

Questions about Factory GitLab Review

What does Factory GitLab Review do?

Review a GitLab merge request for a Factory work item using brokered source-control tools. Factory GitLab Review is an agent skill from mastra-ai/mastra.

When should I use Factory GitLab Review?

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

How do I install Factory GitLab Review in Claude Code?

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

How do I install Factory GitLab Review in Codex?

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

Can I use Factory GitLab Review 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-review -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-review, .gemini/skills/factory-gitlab-review, .github/skills/factory-gitlab-review and .opencode/skills/factory-gitlab-review in your project.

What does Factory GitLab Review need to run?

Going by SKILL.md and its folder, Factory GitLab Review 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 Review 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 Review 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 Review use?

Factory GitLab Review 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 Review use?

About 3.4k tokens (SKILL.md is roughly 14k 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 Review?

Skills that share tags, products or a category with Factory GitLab Review: 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 Factory GitLab Review?

mastra-ai (a GitHub organization) maintains it in mastra-ai/mastra, which has 28,674 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 10, 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.