Monitor CI
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
パフォーマンス観点のレビューエージェント. An agent skill from hashgraph-online/awesome-codex-plugins.
Install River Review Performance
$ npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-performance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins river-review-performance --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-performance .claude/skills/river-review-performance && rm -rf skills-srcUse ~/.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/
Install the "river-review-performance" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/river-review-performance into .claude/skills/river-review-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "river-review-performance", 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 install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/river-review-performanceType 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.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-performance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins river-review-performance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/s977043/river-review/skills/agent-skills/river-review-performance .agents/skills/river-review-performance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "river-review-performance" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/river-review-performance into .agents/skills/river-review-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "river-review-performance", 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.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-performance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins river-review-performance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/s977043/river-review/skills/agent-skills/river-review-performance .cursor/skills/river-review-performance && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "river-review-performance" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/river-review-performance into .cursor/skills/river-review-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "river-review-performance", 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 https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/s977043/river-review/skills/agent-skills/river-review-performance--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-performance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins river-review-performance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/s977043/river-review/skills/agent-skills/river-review-performance .gemini/skills/river-review-performance && rm -rf skills-srcUse ~/.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/
Install the "river-review-performance" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/river-review-performance into .gemini/skills/river-review-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "river-review-performance", 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.
$ gh skill install hashgraph-online/awesome-codex-plugins river-review-performanceInstalls 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).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-performance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/s977043/river-review/skills/agent-skills/river-review-performance .github/skills/river-review-performance && rm -rf skills-srcUse ~/.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/
Install the "river-review-performance" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/river-review-performance into .github/skills/river-review-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "river-review-performance", 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.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-performance -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins river-review-performance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/s977043/river-review/skills/agent-skills/river-review-performance .opencode/skills/river-review-performance && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "river-review-performance" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/river-review-performance into .opencode/skills/river-review-performance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "river-review-performance", 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
river-review-performance- GitHub stars
- 1.3k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 117 words
- Files
- 2 (incl. references)
- Skills in repo
- 716
- Repo updated
- First seen
- Licence
- MIT
At a glance
パフォーマンス観点のレビューエージェント. An agent skill from hashgraph-online/awesome-codex-plugins.
- DevOps & Cloud work in your project
- SKILL.md covers When to Use / いつ使うか, Routing / ルーティング, Execution Flow / 実行フロー and Checklist / チェックリスト, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
River Review Performance is an agent skill from hashgraph-online/awesome-codex-plugins. パフォーマンス観点のレビューエージェント。 N+1クエリ、メモリ効率、キャッシュ戦略、可観測性の観点でコード変更を評価する。
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/ROUTING.md`).
It sits in DevOps & Cloud. 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
- DevOps & Cloud work in your project
Example prompts
- “/river-review-performance”
What it can do on your machine
Read from SKILL.md and the folder at commit 3e1456a. 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 Performance loads about 1.1k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 22 tokens; SKILL.md has 117 words of instructions outside code blocks.
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 3e1456a, republished under its MIT licence (© hashgraph-online). 117 words, ~1,145 tokens.
Download SKILL.mdSave it as
.claude/skills/river-review-performance/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- river-review-performance
- description
- パフォーマンス観点のレビューエージェント。 N+1クエリ、メモリ効率、キャッシュ戦略、可観測性の観点でコード変更を評価する。
- id
- river-review-performance
- category
- midstream
- phase
- midstream
- severity
- major
- applyTo
- src/**/*.{ts,tsx,js,jsx,mjs,cjs,html,css}, app/**/*.{ts,tsx,js,jsx,mjs,cjs,html,css}, components/**/*.{ts,tsx,js,jsx,html,css}…
- inputContext
- diff, fullFile
- outputKind
- findings, actions
- tags
- performance, optimization, entry, routing
- version
- 0.1.0
- license
- MIT
Performance Review（パフォーマンスレビュー）
パフォーマンスに影響する変更を検出し、適切な個別スキルで検証する。
When to Use / いつ使うか
- データベースクエリの追加・変更時
- ループ処理やバッチ処理の変更時
- キャッシュ戦略の変更時
- 大量データの処理ロジック変更時
Routing / ルーティング
| キーワード | スキルID | 説明 |
|---|---|---|
| キャッシュ, TTL | cache-strategy-consistency | 参照のみ。実行は river-review-architecture（理由） |
| 障害, 監視, メトリクス | failure-modes-observability | 障害モードと可観測性 |
| ログ, トレース | logging-observability | ロギング・可観測性 |
| SLO, レイテンシ | operability-slo | 運用性・SLO |
cache-strategy-consistency の帰属について
cache-strategy-consistency はキャッシュ戦略という語感から performance の懸念に見えるが、実体は設計ドキュメント（docs/spec/RFC 等）のキャッシュ戦略記述をレビューする upstream スキル（applyTo が docs/**/*.md 等の docs 系のみ、Pre-execution Gate も「差分に設計ドキュメントの変更がある」ことを要求）である。本エントリ（phase midstream、applyTo が code/sql）とはドメインが異なるため、ドメイン一貫性を優先し実行は river-review-architecture（phase upstream、docs 系 applyTo を保有）に据え置く。本表には到達性のための参照行として掲載するのみで、performance 側に重複するアクティブなキーワードルートは追加しない。
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:
- ループ内I/O → N+1クエリ検出
- 大量データ処理 → メモリ効率チェック
- 外部API呼び出し → タイムアウト・リトライ検証
Execution Flow / 実行フロー
1. 変更内容の分析
├─ ループ内I/O → N+1クエリ検出を優先
├─ 大量データ処理 → メモリ効率チェックを優先
├─ 外部API呼び出し → タイムアウト・リトライ検証を優先
└─ キーワード指定あり → 該当スキルを直接選択
2. スキルの実行
├─ cache-strategy-consistency: キャッシュ戦略の一貫性
├─ failure-modes-observability: 障害モードと可観測性
├─ logging-observability: ロギング・可観測性
└─ operability-slo: 運用性・SLO
3. 統合
├─ 重複する指摘の除去
└─ Checklistに基づくパフォーマンスチェックの補完Checklist / チェックリスト
パフォーマンスレビューでは以下を確認する:
クエリ効率
- N+1クエリが発生していないか
- 必要なeager loadingが設定されているか
- 不要なカラムを取得していないか（SELECT *）
メモリ効率
- ループ内での不要なオブジェクト生成がないか
- 大量データのストリーム処理が適切か
- メモリリークのパターンがないか
I/O効率
- 外部API呼び出しのタイムアウト設定
- リトライ戦略の妥当性
- 並列化可能なI/Oの逐次実行
キャッシュ
- キャッシュキーの設計が適切か
- TTLが妥当か
- キャッシュの無効化戦略
Output Format / 出力形式
<file>:<line>: <message>- Finding: 何が問題か（1文）
- Impact: 推定される影響（レイテンシ増加、メモリ消費等）
- 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 | performance は「実行時効率」、architecture は「構造的スケーラビリティ」 |
river-review-code | 補完 | performance は「速度・効率」、code は「可読性・保守性」 |
References
- ROUTING.md: 詳細なルーティングルール
© 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 1 other file (references) in plugins/s977043/river-review/skills/agent-skills/river-review-performance of hashgraph-online/awesome-codex-plugins.
- SKILL.md
- references/ROUTING.md
Open the folder on GitHubat commit 3e1456a
Compare with similar skills
River Review Performance 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| River Review Performance this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Monitor CInrwl/nx | 29k | 6 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Terraform and OpenTofu Guideagentscope-ai/QwenPaw | 36k | 6 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Analyze GitHub Action Logswithastro/astro | 63k | 1 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Openclaw Live Updateropenclaw/openclaw | 392k | — | ~3.7k | Automated safety check: Pass | MIT |
Similar skills
Terraform and OpenTofu Guide
agentscope-ai/QwenPaw
Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.
- Official
Vercel Optimize Audit
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
- Official
Analyze GitHub Action Logs
withastro/astro
Analyze recent GitHub Actions workflow runs to identify patterns, mistakes, and improvements.
Openclaw Live Updater
openclaw/openclaw
Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.
Docs Learn PR Preview
netdata/netdata
Use only when the user explicitly asks to build, run, preview, inspect, or validate learn.netdata.cloud locally using the contents of a PR or documentation branch before merge.
More from hashgraph-online/awesome-codex-plugins
All 716 skills in this repoAnime Reaction Gif
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
Calibredb
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
Rust API Test Harness
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
Art
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
Calle
hashgraph-online/awesome-codex-plugins
Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.
Game Balance Economy
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
Related
Categories
Questions about River Review Performance
What does River Review Performance do?
パフォーマンス観点のレビューエージェント. An agent skill from hashgraph-online/awesome-codex-plugins. River Review Performance is an agent skill from hashgraph-online/awesome-codex-plugins.
When should I use River Review Performance?
River Review Performance fits situations like: devOps & Cloud work in your project.
How do I install River Review Performance in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-performance -a claude-code`. Or copy the skill folder (plugins/s977043/river-review/skills/agent-skills/river-review-performance in hashgraph-online/awesome-codex-plugins) into .claude/skills/river-review-performance in your project. Claude Code loads it when a task matches its description.
How do I install River Review Performance in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill river-review-performance -a codex`. Or copy the skill folder (plugins/s977043/river-review/skills/agent-skills/river-review-performance in hashgraph-online/awesome-codex-plugins) into .agents/skills/river-review-performance in your project. Codex loads it when a task matches its description.
Can I use River Review Performance 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-performance -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-performance, .gemini/skills/river-review-performance, .github/skills/river-review-performance and .opencode/skills/river-review-performance in your project.
What does River Review Performance need to run?
SKILL.md names no scripts, command-line tools or credentials: River Review Performance is instructions for the agent only.
Does River Review Performance 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 Performance 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 Performance use?
River Review Performance 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 Performance use?
About 1.1k tokens (SKILL.md is roughly 4.6k 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 433 tokens, read only when the agent opens those files.
What are the alternatives to River Review Performance?
Skills that share tags, products or a category with River Review Performance: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 36k stars), Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars) and Analyze GitHub Action Logs (withastro/astro, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains River Review Performance?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 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.