review-alerts

review-alerts is a skill for Claude Code, Codex from boundsj/agent-skills. It costs 80 tokens per session (1,347 once invoked), scanned A, original, MIT.

A report that lists pull requests on GitHub waiting for a particular person's code review. A pull request is a proposed change to a code repository.

In plain words
What is it for?
Use it to check review requests for a specified GitHub repository and username. It requires the GitHub CLI and jq.
Why use it?
It makes pending reviews easier to find and prioritize without starting a review automatically.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to check review requests for a specified GitHub repository and username. It requires the GitHub CLI and jq.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/boundsj/agent-skills/review-alerts
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 boundsj/agent-skills --skill review-alerts
Clone the repo
git clone --depth 1 https://github.com/boundsj/agent-skills

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 review-alerts

README.md
[![agentmods](https://agentmods.dev/badge/skills/boundsj/agent-skills/review-alerts/github.svg)](https://agentmods.dev/skills/boundsj/agent-skills/review-alerts)
Your own site
<a href="https://agentmods.dev/skills/boundsj/agent-skills/review-alerts"><img src="https://agentmods.dev/badge/skills/boundsj/agent-skills/review-alerts/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 review-alerts

Your own site · 80×15
<a href="https://agentmods.dev/skills/boundsj/agent-skills/review-alerts"><img src="https://agentmods.dev/badge/skills/boundsj/agent-skills/review-alerts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,347 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 $0.00080 $0.01347
Opus 5.5 $0.00032 $0.00539
Sonnet 5.5 $0.00016 $0.00269
Haiku 4.5 $0.00008 $0.00135

Measured 2mo ago against content hash 99e2f7a8abf2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-alerts 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (find-my-reviews.sh), 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.

review-alerts/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Alerts

Show a prioritized summary of PRs waiting for the caller's review. Never starts an actual review.

Prerequisites

This skill expects:

  • gh CLI installed and authenticated
  • jq available on PATH

Step 1: Validate Inputs

This skill requires two parameters: repo (GitHub owner/name) and user (GitHub login).

If either is missing, ask the user:

I need two things to check your reviews:
- **repo**: GitHub repository (e.g., `owner/repo`)
- **user**: Your GitHub username (e.g., `octocat`)

Which repo and user should I check?

And stop until the user provides them. Do NOT auto-detect from git context or gh api user.

Step 2: Discover PRs

Run the bundled discovery script with explicit flags:

PR_JSON=$("<skill-dir>/find-my-reviews.sh" --detailed --repo "$REPO" --user "$USER")

Where <skill-dir> is the directory containing this SKILL.md file.

If the script returns an empty array ([]), respond with:

Nothing to review right now. Enjoy your day!

And stop.

Step 3: Assess Priority and Review Complexity

Priority

For each PR in the JSON, assign a priority level:

High (any of):

  • Label contains: urgent, hotfix, blocking, critical, P0, P1, high-priority, expedite
  • Base branch matches: release/*, hotfix/*, production
  • Age 7+ days

Medium (any of):

  • Age 3-7 days
  • Moderate size with activity

Low:

  • Created less than 3 days ago, no urgency signals

Sort: High first, then Medium, then Low. Within same priority, oldest first.

Review Complexity

For each PR, assess review complexity:

Low: changed_files <= 3 AND (additions + deletions) < 50 AND no security-sensitive paths High: changed_files > 15 OR (additions + deletions) > 500 OR touches auth/crypto/security paths Medium: everything else

Security-sensitive path patterns: auth/, crypto/, keychain/, Token, Password, Secret, security/, credential

Step 4: Format the Report as ASCII Table

Read the full file on GitHub · 144 lines

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. 2mo ago First seen · 144 lines · 80 tokens per session scan A 99e2f7a8abf2

Subscribe to this mod's changes

review-alerts is a skill published in the GitHub repository boundsj/agent-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 80 tokens to every session and 1,347 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

Related

review-alerts compared with skills from other repositories

review-alerts next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
review-alertsboundsj/agent-skillsSkill24mo agoMITA80Claude Code, Codex
prYeachan-Heo/oh-my-claudecodeSkill41ktodayMITA47Claude Code
merge-batchdiegosouzapw/OmniRouteSkill83k6d agoMITA46Claude Code
otto-pr-review-loopomnigent-ai/omnigentSkill11ktodayApache-2.0A17Claude Code, Codex
engram-branch-prGentleman-Programming/engramSkill7.8ktodayMITA37Claude Code, Codex
github-contributordaymade/claude-code-skillsSkill1.5ktodayMITA105Claude Code, Codex
revdiffumputun/revdiffSkill9472d agoMITA250Claude Code