Agent skill

Factory Rereview

by mastra-ai in mastra-ai/mastra

Re-review a pull request after a push — reconcile the previous review against the new commits, look for new defects the push introduced, then a fresh pass over the whole PR, and finish with a…

Custom licenceAuto-check passedDevelopment

Install Factory Rereview

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

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

GitHub CLI
$ gh skill install mastra-ai/mastra factory-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-rereview .claude/skills/factory-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-rereview
GitHub stars
29k
Token cost
~12k tokens
SKILL.md length
7,231 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
Custom licence

At a glance

Re-review a pull request after a push — reconcile the previous review against the new commits, look for new defects the push introduced, then a fresh pass over the whole PR, and finish with a…

  • Works in 7 steps: PR Goal & Prior Pass → Reconcile Prior Findings → What The Push Introduced → …
  • Tasks that involve Pull requests
  • SKILL.md covers Security: Untrusted Content &…, Phase 1: PR Goal & Prior Pass, Phase 2: Reconcile Prior… and Phase 3: What The Push…, plus 5 more sections
  • Calls gh, git and pnpm; needs GH_TOKEN and GITHUB_TOKEN

What it does

Factory Rereview is an agent skill from mastra-ai/mastra. Re-review a pull request after a push — reconcile the previous review against the new commits, look for new defects the push introduced, then a fresh pass over the whole PR, and finish with a verdict on the PR

Its SKILL.md is about 12k 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, covering Pull requests. The repository describes itself as: Mastra is the modern TypeScript framework for AI-powered applications and agents.

When your agent uses it

  • Tasks that involve Pull requests

Example prompts

  • “/factory-rereview”

Workflow steps

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

  1. PR Goal & Prior Pass
  2. Reconcile Prior Findings
  3. What The Push Introduced
  4. Quality Gate
  5. Fresh Pass Over The Whole PR
  6. Verdict
  7. Handoff & Verdict

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:

    • gh
    • git
    • pnpm

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

  • Network

    No URLs in SKILL.md. Its commands use gh, git and pnpm, 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

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

Context cost

Factory Rereview loads about 12k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 7,231 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
~12k

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 7,231 words (~12,008 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-rereview

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit b98829a

Compare with similar skills

Factory 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 Rereview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Factory Rereview this skillmastra-ai/mastra29k—~12kAutomated safety check: PassCustom licence
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
PR Design DocOpenHands/OpenHands91k—~2.4kAutomated safety check: PassMIT
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence

Similar skills

  • Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.

    297k GitHub starsUsed in 5 repos~1.9k tokens
    DevelopmentAuto-check passed
  • PR Babysitter

    openinterpreter/openinterpreter

    Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.

    69k GitHub starsUsed in 3 repos~4.2k tokens
    DevelopmentAuto-check passed
  • Check PR

    onyx-dot-app/onyx

    Checks a GitHub, GitLab, or Perforce (p4) pull request (or merge request, or shelved changelist) for unresolved review comments, failing status checks, and incomplete PR descriptions.

    32k GitHub starsUsed in 2 repos~2.3k tokens
    DevelopmentAuto-check passed
  • PR Design Doc

    OpenHands/OpenHands

    For a non-trivial pull request, write a self-contained HTML design doc under the temporary .pr/ directory and link a visibility-appropriate preview in the PR description, so maintainers grasp the…

    91k GitHub stars~2.4k tokensUpdated today
    DevelopmentAuto-check passed
  • WooCommerce Code Review

    woocommerce/woocommerce

    Reviews WooCommerce code changes against the project's standards, flagging backend PHP architecture, naming, documentation, data integrity and testing violations.

    11k GitHub starsUsed in 3 repos~1.1k tokens
    DevelopmentAuto-check passed
  • Record PR Demo

    payloadcms/payload

    A skill your agent uses when a Payload pull request needs a concise visual walkthrough for reviewers.

    45k GitHub stars~1k tokensUpdated yesterday
    DevelopmentAuto-check passed

More from mastra-ai/mastra

All 44 skills in this repo
  • Docs Audit

    mastra-ai/mastra

    Autonomous, report-only documentation review for Mastra docs.

    29k GitHub stars~3k tokensUpdated today
    Auto-check passed
  • Builder Smoke Test

    mastra-ai/mastra

    Smoke test the Agent Builder feature branch end-to-end against a hermetic project scaffolded by the skill (linked to the current worktree).

    29k GitHub stars~11k tokensUpdated today
    Auto-check: notes
  • Mastra Smoke Test

    mastra-ai/mastra

    Smoke test Mastra projects locally or deploy to staging/production.

    29k GitHub stars~4k tokensUpdated today
    Auto-check: notes
  • React Best Practices

    mastra-ai/mastra

    React performance optimization guidelines from Mastra Engineering.

    29k GitHub stars~1.9k tokensUpdated today
    Auto-check passed
  • Agent Prompt Quality Bar

    mastra-ai/mastra

    Universal quality bar and final audit rubric for any agent system prompt.

    29k GitHub stars~2k tokensUpdated today
    Auto-check passed
  • Coding Agent

    mastra-ai/mastra

    Authoring playbook for building agents that write, edit, review, or refactor code.

    29k GitHub stars~2.3k tokensUpdated today
    Auto-check passed

Categories

Questions about Factory Rereview

What does Factory Rereview do?

Re-review a pull request after a push — reconcile the previous review against the new commits, look for new defects the push introduced, then a fresh pass over the whole PR, and finish with a…. Factory Rereview is an agent skill from mastra-ai/mastra.

When should I use Factory Rereview?

Factory Rereview fits situations like: tasks that involve Pull requests.

How do I install Factory Rereview in Claude Code?

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

How do I install Factory Rereview in Codex?

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

Can I use Factory 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-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-rereview, .gemini/skills/factory-rereview, .github/skills/factory-rereview and .opencode/skills/factory-rereview in your project.

What does Factory Rereview need to run?

Going by SKILL.md and its folder, Factory Rereview needs the command-line tools its instructions call (gh, git and pnpm) and credentials named GH_TOKEN and GITHUB_TOKEN.

Does Factory Rereview access the network?

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

Is Factory 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 Rereview use?

Factory 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 Rereview use?

About 12k tokens (SKILL.md is roughly 48k 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 Rereview?

Skills that share tags, products or a category with Factory Rereview: Finishing a Development Branch (obra/superpowers, 297k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars) and PR Design Doc (OpenHands/OpenHands, 91k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Factory 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.