Official agent skill

Iterate PR

Iterate on a PR until actionable CI passes and high/medium review feedback is addressed.

OfficialApache-2.0Auto-check: warningsDevelopment

Install Iterate PR

The automated check flagged lines worth reading first. See the safety section below.

skills CLI

$ npx skills add getsentry/skills --skill iterate-pr -a claude-code

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

GitHub CLI

$ gh skill install getsentry/skills iterate-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/getsentry/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/iterate-pr .claude/skills/iterate-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/

Paste into Claude Code

Install the "iterate-pr" agent skill from https://github.com/getsentry/skills/tree/main/skills/iterate-pr into .claude/skills/iterate-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iterate-pr", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/getsentry/skills/tree/main/skills/iterate-pr

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add getsentry/skills --skill iterate-pr -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install getsentry/skills iterate-pr --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/getsentry/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/iterate-pr .agents/skills/iterate-pr && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "iterate-pr" agent skill from https://github.com/getsentry/skills/tree/main/skills/iterate-pr into .agents/skills/iterate-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iterate-pr", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add getsentry/skills --skill iterate-pr -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install getsentry/skills iterate-pr --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/getsentry/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/iterate-pr .cursor/skills/iterate-pr && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "iterate-pr" agent skill from https://github.com/getsentry/skills/tree/main/skills/iterate-pr into .cursor/skills/iterate-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iterate-pr", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/getsentry/skills.git --path skills/iterate-pr

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add getsentry/skills --skill iterate-pr -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install getsentry/skills iterate-pr --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/getsentry/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/iterate-pr .gemini/skills/iterate-pr && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "iterate-pr" agent skill from https://github.com/getsentry/skills/tree/main/skills/iterate-pr into .gemini/skills/iterate-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iterate-pr", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install getsentry/skills iterate-pr

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add getsentry/skills --skill iterate-pr -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/getsentry/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/iterate-pr .github/skills/iterate-pr && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "iterate-pr" agent skill from https://github.com/getsentry/skills/tree/main/skills/iterate-pr into .github/skills/iterate-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iterate-pr", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add getsentry/skills --skill iterate-pr -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install getsentry/skills iterate-pr --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/getsentry/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/iterate-pr .opencode/skills/iterate-pr && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "iterate-pr" agent skill from https://github.com/getsentry/skills/tree/main/skills/iterate-pr into .opencode/skills/iterate-pr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iterate-pr", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: iterate-pr
GitHub stars: 1k
Token cost: ~1.3k tokens
SKILL.md length: 503 words
Files: 7 (incl. scripts)
Skills in repo: 27
Repo updated: Oct 2, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Iterate on a PR until actionable CI passes and high/medium review feedback is addressed.

Works in 6 steps: Identify PR → Handle Feedback → Check CI Status → …
Review feedback
SKILL.md covers Bundled Scripts, Workflow, Exit Conditions and Fallback
Runs Python scripts from its folder; calls uv, gh and git

What it does

Iterate PR is an agent skill from getsentry/skills, published by the product's own GitHub organization. Iterate on a PR until actionable CI passes and high/medium review feedback is addressed. Use for PR CI failures, review feedback, or green-check loops; do not wait for human approval, draft status, or merge gates.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts (for example `SPEC.md`, `agents/openai.yaml` and `scripts/fetch_pr_checks.py`).

It sits in Development, covering Failing and flaky tests and Pull requests. The repository describes itself as: Agent Skills used by the Sentry team for development. The licence is Apache-2.0.

When your agent uses it

Review feedback
Green-check loops
Do not wait for human approval

Example prompts

“/iterate-pr”

Requirements

Python 3

Workflow steps

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

Identify PR
Handle Feedback
Check CI Status
Fix CI Failures
Verify Locally, Then Commit and Push
Monitor CI and Address Feedback

What it can do on your machine

Read from SKILL.md and the folder at commit d18b7aa. 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
Ships 4 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- uv
- gh
- git
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, gh and 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

Iterate PR loads about 1.3k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 503 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~56
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

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: warnings

The automated check found patterns that need a careful read before installing.

WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:3

review feedback, or green-check loops; do not wait for human approval, draft status, or merge gates.

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); the scripts in this folder are not scanned.

SKILL.md

The full file from getsentry/skills at commit d18b7aa, republished under its Apache-2.0 licence (© getsentry). 503 words, ~1,259 tokens.

Download SKILL.mdSave it as .claude/skills/iterate-pr/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.

name: iterate-pr
description: Iterate on a PR until actionable CI passes and high/medium review feedback is addressed. Use for PR CI failures, review feedback, or green-check loops; do not wait for human approval, draft status, or merge gates.
disable-model-invocation: false

Iterate on PR Until CI Passes

Goal: fix actionable CI failures and high/medium review feedback. Stop and report human approval, draft-readiness, and merge-readiness gates.

Requires:

authenticated gh
uv
target repository root as cwd
skill-root-relative script paths, for example scripts/fetch_pr_checks.py

Bundled Scripts

Script	Run	Output
`scripts/fetch_pr_checks.py`	`uv run scripts/fetch_pr_checks.py [--pr NUMBER]`	JSON: `pr`, `summary`, `checks`, failure snippets
`scripts/fetch_pr_feedback.py`	`uv run scripts/fetch_pr_feedback.py [--pr NUMBER]`	JSON buckets: `high`, `medium`, `low`, `bot`, `resolved`
`scripts/monitor_pr_checks.py`	`uv run scripts/monitor_pr_checks.py [--pr NUMBER]`	terminal marker plus tab-separated checks
`scripts/reply_to_thread.py`	`uv run scripts/reply_to_thread.py THREAD_ID BODY [...]`	JSON reply results

Check summary fields include failed, pending, actionable_pending, and human_gate_pending.

Monitor markers:

ALL_CHECKS_PASSED
CHECKS_DONE_WITH_FAILURES
NO_CHECKS_REGISTERED
DRAFT_PR_WITH_NO_CHECKS
CHECKS_BLOCKED_BY_REVIEW_GATE

Workflow

1. Identify PR

Run:

bash

gh pr view --json number,url,headRefName,isDraft,reviewDecision

Stop when:

no PR exists
draft PR has no checks after monitor grace period: report DRAFT_PR_WITH_NO_CHECKS

Draft rule: inspect existing checks/feedback only. Do not mark ready for review unless asked.

2. Handle Feedback

Run uv run scripts/fetch_pr_feedback.py [--pr NUMBER].

Bucket	Action
`high`	fix
`medium`	fix
`low`	ask user which to address
`bot`	skip informational comments
`resolved`	skip

Feedback fix checklist:

verify root cause
search related code
fix all instances
for review_bot: true: fix real issues, explain false positives

Low-priority prompt format:

text

Found 3 low-priority suggestions:
1. [l] "Consider renaming this variable" - @reviewer in api.py:42
2. [nit] "Could use a list comprehension" - @reviewer in utils.py:18
3. [style] "Add a docstring" - @reviewer in models.py:55

Which should I address? ("1,3", "all", or "none")

3. Check CI Status

Run uv run scripts/fetch_pr_checks.py [--pr NUMBER].

State	Action
`failed > 0` and `actionable_pending == 0`	fix failures
`actionable_pending > 0`	wait; poll feedback while waiting
`pending > 0` and `actionable_pending == 0`	report `CHECKS_BLOCKED_BY_REVIEW_GATE`
no checks after grace period	report `NO_CHECKS_REGISTERED` or `DRAFT_PR_WITH_NO_CHECKS`
all actionable checks passed	run post-CI feedback check

Wait for actionable review bots: sentry, warden, cursor, bugbot, seer, codeql. Do not wait for approval, isDraft, REVIEW_REQUIRED, Codecov, or informational bots.

4. Fix CI Failures

For each failure:

read full log: gh run view <run-id> --log-failed
trace from assertion/exception/lint rule to source
state the cause before editing: "fails because X, affected by Y"
search related call sites/patterns
fix root cause, not symptom
add focused test coverage when needed

Show full SKILL.md (187 more words)Show less

5. Verify Locally, Then Commit and Push

Before commit:

test fix: rerun specific test
lint/type fix: rerun affected checker
code fix: rerun covering tests
local failure: fix before pushing

bash

git add <files>
git commit -m "fix: <descriptive message>"
git push

6. Monitor CI and Address Feedback

Loop:

run uv run scripts/fetch_pr_checks.py
handle table in step 3
while actionable_pending > 0, run uv run scripts/fetch_pr_feedback.py
fix new high/medium feedback immediately
if changed, verify, commit, push, restart loop
otherwise sleep 30 seconds and repeat
after checks pass, wait 10 seconds, fetch feedback once more
if new high/medium feedback exists, return to step 4

Claude Code optional: run uv run scripts/monitor_pr_checks.py through MonitorTool with persistent: false; set timeout to normal repo CI duration. Restart the monitor after every push.

Exit Conditions

Exit	Conditions
Success	actionable CI passed; post-CI feedback clean; low-priority choice handled
Ask user	same failure after 2 attempts; feedback unclear; infrastructure issue
Stop	no PR; branch needs rebase; no checks; draft no-checks; only human gates remain

Fallback

If scripts fail, use gh CLI directly:

gh pr view --json number,url,headRefName,isDraft,reviewDecision
gh pr checks --json name,state,bucket,description,link
gh run view <run-id> --log-failed
gh api repos/{owner}/{repo}/pulls/{number}/comments

Files

SKILL.md and 6 other files (scripts) in skills/iterate-pr of getsentry/skills.

SKILL.md
SPEC.md
agents/openai.yaml
scripts/fetch_pr_checks.py
scripts/fetch_pr_feedback.py
scripts/monitor_pr_checks.py
scripts/reply_to_thread.py

Open the folder on GitHubat commit d18b7aa

Compare with similar skills

Iterate 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.

Iterate PR compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Iterate PR this skillgetsentry/skills	1k	—	~1.3k	Automated safety check: Warn	Apache-2.0	5 days ago
PR Babysitteropeninterpreter/openinterpreter	69k	3 repos	~4.2k	Automated safety check: Pass	Apache-2.0	today
Iterate PRmeshery/meshery-operator	151	7 repos	~2.2k	Automated safety check: Pass	Apache-2.0	16 days ago
PlotJuggler Ship CheckPlotJuggler/PlotJuggler	6.2k	—	~1.3k	Automated safety check: Pass	MPL-2.0	6 days ago
PR Reviewwysaid/android-gpuimage-plus	1.9k	—	~1.4k	Automated safety check: Pass	MIT	2 mo ago
GitHub PR Imagesbikeindex/bike_index	308	—	~1.6k	Automated safety check: Pass	AGPL-3.0	today

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Questions about Iterate PR

What does Iterate PR do?

Iterate on a PR until actionable CI passes and high/medium review feedback is addressed. Iterate PR is an agent skill from getsentry/skills, published by the product's own GitHub organization. Iterate on a PR until actionable CI passes and high/medium review feedback is addressed.

When should I use Iterate PR?

Iterate PR fits situations like: review feedback; green-check loops; do not wait for human approval.

How do I install Iterate PR in Claude Code?

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

How do I install Iterate PR in Codex?

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

Can I use Iterate 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 getsentry/skills --skill iterate-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/iterate-pr, .gemini/skills/iterate-pr, .github/skills/iterate-pr and .opencode/skills/iterate-pr in your project.

What does Iterate PR need to run?

Going by SKILL.md and its folder, Iterate PR needs Python for the scripts in its folder and the command-line tools its instructions call (uv, gh and git). Our summary lists: Python 3.

Does Iterate PR access the network?

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

Is Iterate PR safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Iterate PR use?

Iterate PR is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Iterate PR use?

About 1.3k tokens (SKILL.md is roughly 5k 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 Iterate PR?

Skills that share tags, products or a category with Iterate PR: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Iterate PR (meshery/meshery-operator, 151 stars), PlotJuggler Ship Check (PlotJuggler/PlotJuggler, 6.2k stars) and PR Review (wysaid/android-gpuimage-plus, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Iterate PR?

getsentry (a GitHub organization, an official publisher) maintains it in getsentry/skills, which has 1,037 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 2, 2026.

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

Install Iterate PR

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Iterate on PR Until CI Passes

Bundled Scripts

Workflow

1. Identify PR

2. Handle Feedback

3. Check CI Status

4. Fix CI Failures

5. Verify Locally, Then Commit and Push

6. Monitor CI and Address Feedback

Exit Conditions

Fallback

Files

Compare with similar skills

Similar skills

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Related

Questions about Iterate PR