一般コード品質のレビューエージェント。デフォルトのフォールバック先. An agent skill from hashgraph-online/awesome-codex-plugins.

MITAuto-check passedDevelopment

Install River Review Code

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-code -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins river-review-code --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/s977043/river-review/skills/agent-skills/river-review-code .claude/skills/river-review-code && 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
river-review-code
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
298 words
Files
4 (incl. references)
Skills in repo
736
Repo updated
First seen
Licence
MIT

At a glance

一般コード品質のレビューエージェント。デフォルトのフォールバック先. An agent skill from hashgraph-online/awesome-codex-plugins.

  • Tasks that involve Code review
  • SKILL.md covers When to Use / いつ使うか, Routing / ルーティング, Checklist / チェックリスト and Execution Flow / 実行フロー, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

River Review Code is an agent skill from hashgraph-online/awesome-codex-plugins. 一般コード品質のレビューエージェント。デフォルトのフォールバック先。 可読性、保守性、型安全性、ロギング等の個別スキルへルーティングする。

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/ROUTING.md`, `references/SIMPLIFY.md` and `references/UX-SAFEGUARD.md`).

It sits in Development, covering Code review. It works with TypeScript. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/river-review-code”

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. 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

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

River Review Code loads about 1.6k tokens when it runs, and up to ~7.5k if it reads all its reference files. Until then it costs about 22 tokens; SKILL.md has 298 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.5k

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

The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its MIT licence (© hashgraph-online). 298 words, ~1,609 tokens.

Download SKILL.mdSave it as .claude/skills/river-review-code/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
river-review-code
description
一般コード品質のレビューエージェント。デフォルトのフォールバック先。 可読性、保守性、型安全性、ロギング等の個別スキルへルーティングする。
id
river-review-code
category
midstream
phase
midstream
severity
minor
applyTo
src/**/*.{ts,tsx,js,jsx,mjs,cjs}, app/**/*.{ts,tsx,js,jsx,mjs,cjs}, lib/**/*.{ts,tsx,js,jsx,mjs,cjs}, packages/**/*.{ts,tsx,js,jsx,mjs,cjs}…
inputContext
diff, fullFile
outputKind
findings, actions
tags
code-quality, default, entry, routing
version
0.1.0
license
MIT

Code Quality Review(一般コード品質レビュー)

コードの可読性、保守性、型安全性を検証する。他の専門エージェントに該当しない場合のデフォルトフォールバック先。

When to Use / いつ使うか

  • 一般的なコード変更のレビュー時
  • 他の専門エージェント(architecture, security, performance, testing)に該当しない場合
  • コード品質の総合的なチェックが必要な場合

Routing / ルーティング

キーワードスキルID説明
型, TypeScript, stricttypescript-strictTypeScript strict モード準拠
null, undefined, optionaltypescript-nullchecknull 安全性チェック
非同期, await, Promiseasync-correctness非同期処理の正しさ検証
型駆動, 設計type-driven-design型駆動設計
ログ, 監視logging-observabilityロギング・可観測性
自動化, 境界review-automation-boundaryレビュー自動化の境界
コメント, トリアージreview-comment-triageレビューコメント分類
幻覚的参照, 実在確認hallucinated-reference新規参照の実在確認
簡素化, 整理, simplifySIMPLIFY 観点(本 skill 内)品質クリーンアップ4観点
破壊的操作, undo, 回復支援UX-SAFEGUARD 観点(本 skill 内)操作の安全装置2観点

UI/コンポーネント系のルーティング(a11y, デザインシステム, Next.js App Router 境界等)は river-review-frontend に一元化済み(#1462)。本ルーターからは移設し、二重発火を避けている。

デフォルト動作
  • キーワード指定なし → 以下のヒューリスティクスで判定:
    • .ts/.tsxファイル → TypeScript strict + nullチェック
    • コンポーネントファイル → river-review-frontend も参照(a11y・デザインシステム観点は frontend 側が担当)
    • 設定ファイル → 型駆動設計チェック

Checklist / チェックリスト

一般コードレビューでは以下を確認する:

可読性
  • 関数・変数の命名が意図を表現しているか
  • 意図を伝えない広すぎる名前(data / info / manager / handler / util / current)、共有されていない略語、同一概念の別名(または別概念の同名)がないか
  • 関数の責務が単一か
  • ネストが深すぎないか(3段以内。深い場合は guard clause で平坦化を提案)
  • マジックナンバー・マジックストリングがないか
保守性
  • DRY原則にしたがっているか(ただし過度な抽象化を避ける)
  • 変更の影響範囲が限定的か
  • 依存方向が正しいか
  • カプセル化リークがないか: オブジェクト内部へ深く手を伸ばすコード(a.b.c.type === 'x')、値オブジェクトから primitive を取り出して外部で分岐、getter による内部状態の露出。Tell-Don't-Ask(例: user.subscription.plan.type === 'premium' より user.isPremium())を推奨する(Law of Demeter)
型安全性
  • anyの使用が最小限か
  • 型ガードが適切か
  • null/undefinedの扱いが安全か
  • 型検査対象外の JSDoc 型変更: scripts/ などで unknown を any へ緩める提案は直接行わない。境界判断が必要なときだけ owner skill existing-pattern-conformance を skill ID で解決し、その False-positive guards / fixtures に従う。owner を解決できない場合は推測せず、この境界判断をスキップする。
エラーハンドリング
  • エラーを握り潰していないか
  • エラーメッセージが十分な情報を含むか
  • リカバリー可能なエラーと不可能なエラーの区別
  • 防衛的フォールバックの分界: config / registry などの内部不変条件へ fallback を足す提案はしない。外部 IO / 環境境界では defensive handling を確認する。詳細判断が必要なときだけ owner skill nullability-contract を skill ID で解決し、その False-positive guards / fixtures に従う。owner を解決できない場合は推測せず、この境界判断をスキップする。

Execution Flow / 実行フロー

text
1. ファイル種別の判定
   ├─ .ts/.tsxファイル → TypeScript strict + nullチェックを選択
   ├─ コンポーネントファイル → river-review-frontend も参照(a11y・デザインシステム観点)
   ├─ 設定ファイル → 型駆動設計チェックを選択
   └─ キーワード指定あり → 該当スキルを直接選択
      (SIMPLIFY / UX-SAFEGUARD 観点のキーワード該当時は本 skill 内で実行。キーワードは ROUTING.md を参照)

2. スキルの実行
   ├─ typescript-strict: strictモード準拠
   ├─ typescript-nullcheck: null安全性
   ├─ async-correctness: 非同期処理の正しさ
   ├─ type-driven-design: 型駆動設計
   ├─ logging-observability: ロギング・可観測性
   ├─ review-automation-boundary: レビュー自動化の境界
   └─ hallucinated-reference: 新規参照の実在確認

3. 統合
   ├─ 重複する指摘の除去
   └─ Checklistに基づく一般品質チェックの補完

Multi-perspective Execution / 多観点実行(旧 agent-code-review から統合)

複数観点を横断するレビューでは、以下の順で差分を走査し findings を統合する。

順序観点実行ルール
1セキュリティCritical finding 検出時: 以降の観点も実行するが、Critical を先頭に出力
2パフォーマンスホットパス外の変更のみの場合はスキップ可
3品質・設計常に実行
4テスト網羅性テストファイルが差分に含まれない場合も、対象コードのテスト有無を確認

観点間の重要度比較: 異なる観点の findings が同一箇所を指す場合、severity が異なれば高い方を採用(もう一方は補足として併記)、同じなら security > performance > quality > testing の順で先に記載する。

出力件数の制約: 1 PR あたり最大 15 件(超過分は severity 降順で切り捨て、切り捨て件数を末尾に記載)。同一ファイルへの同一観点の指摘は最大 3 件にグルーピングする。

判定の手がかり:

  • catch ブロック内の空文、// TODO → security / quality
  • O(n*m) パターン、ループ内の DB / API コール → performance
  • any 型、型アサーション(as)、未使用 import → quality
  • 新規 export 関数にテストファイル内の対応する describe / test がない → testing

Output Format / 出力形式

text
<file>:<line>: <message>
  • Finding: 何が問題か(1文)
  • Impact: 何が困るか(短く)
  • Fix: 次の一手(最小の修正案)

他スキルとの関係

スキル関係棲み分け
river-review-architecture補完code は「ミクロ品質」、architecture は「マクロ設計」
river-review-testing補完code は「プロダクションコード」、testing は「テストコード」
river-review-performance補完code は「可読性」、performance は「実行効率」
river-review-frontend補完code は「一般コード品質」、frontend は「UI 固有の懸念」。UI 系ルートは frontend へ移設済み(#1462)

References

  • ROUTING.md: 詳細なルーティングルール
  • SIMPLIFY.md: 品質クリーンアップ4観点の実行手順と委譲表
  • UX-SAFEGUARD.md: 操作の安全装置2観点(破壊的操作の確認・取り消し / 入力エラーの回復支援)の実行手順と委譲表

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in plugins/s977043/river-review/skills/agent-skills/river-review-code of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • references/ROUTING.md
  • references/SIMPLIFY.md
  • references/UX-SAFEGUARD.md

Open the folder on GitHubat commit 16b4156

Compare with similar skills

River Review Code 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.

River Review Code compared with similar skills
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River Review Code this skillhashgraph-online/awesome-codex-plugins1.2k—~1.6kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Frontend Code Reviewlanggenius/dify158k—~938Automated safety check: PassCustom licence
Code Reviewerjewbetcha/opentrace1162 repos~1.1kAutomated safety check: NotesMIT
Hunk Extension Authoring Mapmodem-dev/hunk9.5k—~5.8kAutomated safety check: PassMIT
Cross-Language Coding Standardszereight/gitlab-mcp2k1 repos~1.4kAutomated safety check: PassMIT

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Works with

Categories

Questions about River Review Code

What does River Review Code do?

一般コード品質のレビューエージェント。デフォルトのフォールバック先. An agent skill from hashgraph-online/awesome-codex-plugins. River Review Code is an agent skill from hashgraph-online/awesome-codex-plugins.

When should I use River Review Code?

River Review Code fits situations like: tasks that involve Code review.

How do I install River Review Code in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-code -a claude-code`. Or copy the skill folder (plugins/s977043/river-review/skills/agent-skills/river-review-code in hashgraph-online/awesome-codex-plugins) into .claude/skills/river-review-code in your project. Claude Code loads it when a task matches its description.

How do I install River Review Code in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-code -a codex`. Or copy the skill folder (plugins/s977043/river-review/skills/agent-skills/river-review-code in hashgraph-online/awesome-codex-plugins) into .agents/skills/river-review-code in your project. Codex loads it when a task matches its description.

Can I use River Review Code 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 hashgraph-online/awesome-codex-plugins --skill river-review-code -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/river-review-code, .gemini/skills/river-review-code, .github/skills/river-review-code and .opencode/skills/river-review-code in your project.

What does River Review Code need to run?

SKILL.md names no scripts, command-line tools or credentials: River Review Code is instructions for the agent only.

Does River Review Code access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is River Review Code 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 River Review Code use?

River Review Code is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does River Review Code use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 5.9k tokens, read only when the agent opens those files.

What are the alternatives to River Review Code?

Skills that share tags, products or a category with River Review Code: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Frontend Code Review (langgenius/dify, 158k stars), Code Reviewer (jewbetcha/opentrace, 116 stars) and Hunk Extension Authoring Map (modem-dev/hunk, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains River Review Code?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.