agentmods.dev

pr-review-checklist

pr-review-checklist is a skill for Claude Code, Codex from lexmount/browseruse-agent-bench. It costs 77 tokens per session (524 once invoked), scanned A, original, Apache-2.0.

A tool that builds and maintains Markdown checklists from GitHub pull-request review conversations. The checklists include comment locations, code context, changed-code excerpts, and the full discussion.

In plain words
What is it for?
Use it to collect review threads for the current or specified pull request and create or refresh review and unresolved-item checklist files.
Why use it?
It turns scattered review feedback into a local record that can be checked again as the pull request changes. Unresolved items stay visible across reruns.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 19repo 1mo ago A scan 77 tokens original Apache-2.0

Good fit Use it to collect review threads for the current or specified pull request and create or refresh review and unresolved-item checklist files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lexmount/browseruse-agent-bench/pr-review-checklist
View source ↗ lexmount/browseruse-agent-bench lexmount.github.io
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lexmount/browseruse-agent-bench --skill pr-review-checklist
Clone the repo
git clone --depth 1 https://github.com/lexmount/browseruse-agent-bench

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pr-review-checklist

README.md
[![agentmods](https://agentmods.dev/badge/skills/lexmount/browseruse-agent-bench/pr-review-checklist/github.svg)](https://agentmods.dev/skills/lexmount/browseruse-agent-bench/pr-review-checklist)
Your own site
<a href="https://agentmods.dev/skills/lexmount/browseruse-agent-bench/pr-review-checklist"><img src="https://agentmods.dev/badge/skills/lexmount/browseruse-agent-bench/pr-review-checklist/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for pr-review-checklist

Your own site · 80×15
<a href="https://agentmods.dev/skills/lexmount/browseruse-agent-bench/pr-review-checklist"><img src="https://agentmods.dev/badge/skills/lexmount/browseruse-agent-bench/pr-review-checklist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 524 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00077 $0.00524
Opus 5 $0.00039 $0.00262
Sonnet 5 $0.00015 $0.00105
Haiku 4.5 $0.00008 $0.00052

Measured 8d ago against content hash c6cdfe77f528, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

pr-review-checklist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_pr_review_checklists.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

browseruse_bench/skills/pr-review-checklist/SKILL.md · 61 lines

What it actually says

PR Review Checklist

Generate PR review checklists into .pr/<pr_number>/ and keep unresolved items current across reruns.

Files

  • Script: scripts/generate_pr_review_checklists.py
  • Output:
    • .pr/<pr_number>/review_checklist.md
    • .pr/<pr_number>/unresolved_checklist.md

Prerequisites

  1. Ensure gh is installed and authenticated.
  2. Run commands from this skill directory (the directory containing this SKILL.md).
  3. Set PYTHONPATH to repo root.
  4. If not authenticated, run gh auth login first.

Commands

Current branch PR (auto-detect PR number):

export PYTHONPATH=/path/to/browseruse_bench
python3 scripts/generate_pr_review_checklists.py

Specified PR:

export PYTHONPATH=/path/to/browseruse_bench
python3 scripts/generate_pr_review_checklists.py --pr-number 122 --repo lexmount/browseruse-agent-bench

Behavior

  1. Resolve target PR:
    • Use --pr-number when provided.
    • Otherwise use current branch PR.
  2. Pull review threads and comments from GitHub.
  3. Render both Markdown files with:
    • File + line location
    • PR diff hunk snippet
    • Current workspace code context near the commented line
    • Raw thread chat log (full comment bodies + reply relation)
  4. Rebuild unresolved checklist on every run.
  5. Preserve manual checkbox states in unresolved_checklist.md for thread IDs that are still unresolved.
  6. After each successful refresh, explicitly ask the user:
    • Do you want me to generate/update .pr/<pr_number>/unresolved_solutions.md now?
    • If yes, run pr-unresolved-solutions workflow immediately.

Notes

  • Thread IDs are stable (TH-<root_comment_id>), suitable for tracking work over time.
  • For outdated threads, the current code context can differ from PR-time code; rely on diff hunk + thread link together.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 61 lines · 77 tokens per session scan A c6cdfe77f528

Subscribe to this mod's changes

pr-review-checklist is a skill published in the GitHub repository lexmount/browseruse-agent-bench (19 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 524 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Code reviewGit and workflowagentagent-evaluationai-agentsbenchmarkbrowser-agentbrowseruse
Related

Other skills, from other repositories

parallel-pr-review

Use when asked to "review the open PRs", review a batch or stack of pull requests, or run a recurring PR-review pass on a repo — especially with many PRs, stacked branches, conflicts, or security-sensitive changes. Covers grouping, fan-out to review subagents, verdict synthesis, and posting.

suyoumo/ClawProBench · 67 tokens

review-readiness

PR readiness dashboard — tracks which reviews have been completed per branch and gates merge decisions. Shows code review, tests, security, QA, and linting status.

suyoumo/ClawProBench · 36 tokens

open-code-review

Performs AI-powered code review on Git changes using the ocr CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply…

alibaba/open-code-review · 98 tokens

contribute-to-eliza

Finish and prove a scoped elizaOS GitHub issue, or independently review and repair an open elizaOS pull request. Use when contributing compute to elizaOS by selecting unclaimed work, implementing or reviewing changes, adding real tests and evidence, validating artifacts, or preparing a contribution for maintainer…

elizaOS/eliza · 68 tokens

github

GitHub operations via gh CLI: issues, PRs, CI runs, code review, API queries. Use when: (1) checking PR status or CI, (2) creating/commenting on issues, (3) listing/filtering PRs or issues, (4) viewing run logs. NOT for: complex web UI interactions requiring manual browser flows (use browser tooling when available)…

opensquilla/opensquilla · 101 tokens

git

Git and code hosting platform management — GitHub, GitLab, Codeberg, Forgejo. Zero barrier — install x-cmd and manage repos from the terminal. Use for "git", "github", "gitlab", "repo", "pull request", "code hosting".

x-cmd/x-cmd · 58 tokens