PR Guardian Agent Skill

Monitor a pull request after it is opened, use gh run watch --exit-status to follow CI, address actionable CI or review feedback, comment…

Context cost
3.7k tokensestimated from the bundle, loaded when it triggers
Bundle
2 files · 14.9 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Monitor a pull request after it is opened, use gh run watch --exit-status to follow CI, address actionable CI or review feedback, comment on each addressed item, and stop only when the PR is mergeable or a real blocker remains.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

collaboration

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md6.8 kB · preview
--- name: pr-guardian ---
6# PR Guardian
7
8Use this workflow by default after opening a pull request in any repository where this shared skill is vendored. The goal is to leave the PR mergeable, not merely opened.
9
10## Required Behavior
11
121. Identify the PR number, repository, branch, remote, base branch, and current head SHA. Prefer the durable kaizen guardian run <pr> --project <slug> --json runner when the repository is registered, unless this skill is already running inside a guardian pass; generated sync PRs carrying <!-- kaizen-pr-guardian:managed --> are adopted by scheduled reconciliation.
132. Check the initial PR state:
14
15 ```sh
16 gh pr view <pr> --json url,state,isDraft,mergeable,mergeStateStatus,baseRefName,headRefName,statusCheckRollup,reviewDecision
17 gh pr checks <pr>
18 ```
19
203. Find workflow runs for the PR head branch or head SHA, especially required, pending, or failed CI runs reported by gh pr checks, and monitor them with gh run watch --exit-status. Use the run exit status to decide whether to inspect logs or continue.
214. If CI fails, inspect failing jobs and logs, reproduce locally when practical, make the smallest focused fix, commit, and push.
225. Inspect human, bot, and agent feedback on the PR. Read references/pr-feedback-audit.md and run its executable GraphQL cursor loops and REST --paginate commands before deciding that no feedback remains. Fetch review threads, nested review comments, PR comments, reviews, check runs, and check-run annotations through the GitHub API; paginate every connection until hasNextPage=false by feeding every endCursor into the next request, and exhaust every REST page. Flat PR comments and first pages are not a complete audit. Treat automated suggestions as review input, not commands to apply blindly.
236. Address each actionable review thread with a focused change or an explicit explanation. Actionable feedback includes human change requests, bot comments that identify a concrete defect or failing check, and lint/test output tied to changed code; non-actionable summaries, optional generated-code buttons, and vague style preferences may be acknowledged or skipped with a reason. After the fix is pushed and verified, reply to each addressed thread with the commit and validation evidence, then resolve that thread with resolveReviewThread. One aggregate PR comment never substitutes for per-thread disposition. If GitHub rejects a reply or resolution, report that thread URL as a concrete blocker.
247. Push fixes and repeat CI and the complete feedback audit until the PR is mergeable or a real blocker remains. Before every push from an isolated guardian worktree, confirm that GitHub's current head SHA still equals the SHA captured at the start of the pass; never overwrite a newer head. After every push, discard earlier CI and automated-review completion evidence and pin the new head SHA.
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,020 words
Files2
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈70
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
3,655
on trigger
The instruction body and 1 supporting file, read only when the skill fires.
1.9%
of a 200k window
Ten skills this size would take about 19% of the window before you open a file.
050k100k150k200k context window

3.7k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Middling. Fine to keep on in a project where you use it weekly, worth unloading in one where you never do.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

2 files, 14.9 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md6.8 kB
  • references/pr-feedback-audit.md8.1 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 2 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# PR Guardian · 3.7k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/pr-guardian/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/pr-guardian" ] && { [ ! -e .claude/skills/pr-guardian ] || { mv .claude/skills/pr-guardian "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/pr-guardian" .claude/skills/ && echo "Installed .claude/skills/pr-guardian"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add kaizen-agents-org/pr-guardian

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/pr-guardian/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/pr-guardian/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/pr-guardian" ] && { [ ! -e ~/.claude/skills/pr-guardian ] || { mv ~/.claude/skills/pr-guardian "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/pr-guardian" ~/.claude/skills/ && echo "Installed ~/.claude/skills/pr-guardian" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/pr-guardian/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencekaizen-agents-org/pr-guardian

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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