Agent skill

Understand PR

by mastra-ai in mastra-ai/mastra

Review a PR the way a seasoned maintainer would — build an independent model before seeing the diff, investigate the implementation and history, verify material claims, and return a concise briefing.

Custom licenceAuto-check passedDevelopment

Install Understand PR

skills CLI
$ npx skills add mastra-ai/mastra --skill understand-pr -a claude-code

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

GitHub CLI
$ gh skill install mastra-ai/mastra understand-pr --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/skills/understand-pr .claude/skills/understand-pr && 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
understand-pr
GitHub stars
29k
Token cost
~5.3k tokens
SKILL.md length
3,085 words
Files
19 (incl. references)
Skills in repo
44
Repo updated
First seen
Licence
Custom licence

At a glance

Review a PR the way a seasoned maintainer would — build an independent model before seeing the diff, investigate the implementation and history, verify material claims, and return a concise briefing.

  • Works in 6 steps: Build the independent model → Understand what actually changed → Review like a maintainer → …
  • Tasks that involve Pull requests
  • SKILL.md covers What matters, Review record, 1. Build the independent model and 2. Understand what actually…, plus 8 more sections
  • Calls git

What it does

Understand PR is an agent skill from mastra-ai/mastra. Review a PR the way a seasoned maintainer would — build an independent model before seeing the diff, investigate the implementation and history, verify material claims, and return a concise briefing. Use for any PR review, self-review, or re-review.

Its SKILL.md is about 5.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files, including reference files (for example `references/archaeology.md`, `references/categories/README.md` and `references/categories/behavior-change.md`).

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

  • “/understand-pr”

Workflow steps

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

  1. Build the independent model
  2. Understand what actually changed
  3. Review like a maintainer
  4. Recover history when it can change the verdict
  5. Verify according to the claim
  6. Decide and brief

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 no API keys, tokens, secrets or passwords.

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

Context cost

Understand PR loads about 5.3k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 3,085 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~5.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~22k

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 3,085 words (~5,350 tokens).

“Review the PR as a maintainer deciding whether the change belongs in the codebase. Help the human understand it without turning the review into a walkthrough. Run uninterrupted to a concise front page. For draft PRs authored by the user…”

— opening of SKILL.md by mastra-ai, Custom licence
name
understand-pr
metadata.goal
true

Read the full SKILL.md on GitHub

Files

SKILL.md and 18 other files (references) in .mastracode/skills/understand-pr of mastra-ai/mastra.

  • SKILL.md
  • references/archaeology.md
  • references/categories/README.md
  • references/categories/behavior-change.md
  • references/categories/bug-fix.md
  • references/categories/docs.md
  • references/categories/experimental-flagged.md
  • references/categories/infra-tooling.md
  • references/categories/internal-capability.md
  • references/categories/large-cross-cutting.md
  • references/categories/mechanical.md
  • references/categories/performance.md
  • references/categories/public-api.md
  • references/categories/refactor.md
  • references/categories/revert.md
  • references/categories/schema-storage.md
  • references/categories/security.md
  • references/categories/tests-only.md
  • references/templates.md

Open the folder on GitHubat commit b98829a

Compare with similar skills

Understand PR 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.

Understand PR compared with similar skills
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Understand PR this skillmastra-ai/mastra29k—~5.3kAutomated safety check: PassCustom licence
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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

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Categories

Questions about Understand PR

What does Understand PR do?

Review a PR the way a seasoned maintainer would — build an independent model before seeing the diff, investigate the implementation and history, verify material claims, and return a concise briefing. Understand PR is an agent skill from mastra-ai/mastra. Review a PR the way a seasoned maintainer would — build an independent model before seeing the diff, investigate the implementation and history, verify material claims, and return a concise briefing.

When should I use Understand PR?

Understand PR fits situations like: tasks that involve Pull requests.

How do I install Understand PR in Claude Code?

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

How do I install Understand PR in Codex?

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

Can I use Understand PR 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 understand-pr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/understand-pr, .gemini/skills/understand-pr, .github/skills/understand-pr and .opencode/skills/understand-pr in your project.

What does Understand PR need to run?

Going by SKILL.md and its folder, Understand PR needs the command-line tools its instructions call (git).

Does Understand PR 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 Understand PR 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 Understand PR use?

Understand PR 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 Understand PR use?

About 5.3k tokens (SKILL.md is roughly 21k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17k tokens, read only when the agent opens those files.

What are the alternatives to Understand PR?

Skills that share tags, products or a category with Understand PR: 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 Understand PR?

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.