Guidelines
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
敵対的分析手法を統合したレビューの entry skill。認知バイアス対策の3手法 （Pre-mortem / War Game / Logic Torturing）と、宣言・主張と実態の乖離を突く claim-vs-actual 検出3パターン（Self-Contradiction / Refactor-Claim Audit / Cross-File…
Install Adversarial Review
$ npx skills add hashgraph-online/awesome-codex-plugins --skill adversarial-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins adversarial-review --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/adversarial-review .claude/skills/adversarial-review && 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 "adversarial-review" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/adversarial-review into .claude/skills/adversarial-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adversarial-review", 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/adversarial-reviewType 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 adversarial-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins adversarial-review --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/adversarial-review .agents/skills/adversarial-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "adversarial-review" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/adversarial-review into .agents/skills/adversarial-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adversarial-review", 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 adversarial-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins adversarial-review --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/adversarial-review .cursor/skills/adversarial-review && 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 "adversarial-review" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/adversarial-review into .cursor/skills/adversarial-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adversarial-review", 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/adversarial-review--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 adversarial-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins adversarial-review --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/adversarial-review .gemini/skills/adversarial-review && 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 "adversarial-review" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/adversarial-review into .gemini/skills/adversarial-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adversarial-review", 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 adversarial-reviewInstalls 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 adversarial-review -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/adversarial-review .github/skills/adversarial-review && 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 "adversarial-review" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/adversarial-review into .github/skills/adversarial-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adversarial-review", 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 adversarial-review -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 adversarial-review --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/adversarial-review .opencode/skills/adversarial-review && 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 "adversarial-review" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/s977043/river-review/skills/agent-skills/adversarial-review into .opencode/skills/adversarial-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adversarial-review", 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
adversarial-review- GitHub stars
- 1.3k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 177 words
- Files
- 2 (incl. references)
- Skills in repo
- 716
- Repo updated
- First seen
- Licence
- MIT
At a glance
敵対的分析手法を統合したレビューの entry skill。認知バイアス対策の3手法 （Pre-mortem / War Game / Logic Torturing）と、宣言・主張と実態の乖離を突く claim-vs-actual 検出3パターン（Self-Contradiction / Refactor-Claim Audit / Cross-File…
- Tasks that involve Refactoring
- SKILL.md covers 背景 / Background, When to Use / いつ使うか, Routing / ルーティング and Execution Flow / 実行フロー, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Adversarial Review is an agent skill from hashgraph-online/awesome-codex-plugins. 敵対的分析手法を統合したレビューの entry skill。認知バイアス対策の3手法 （Pre-mortem / War Game / Logic Torturing）と、宣言・主張と実態の乖離を突く claim-vs-actual 検出3パターン（Self-Contradiction / Refactor-Claim Audit / Cross-File Leakage）へルーティングし、通常のレビューでは見えない設計の盲点・ 防御の穴・論理の弱点・宣言と実装のズレを可視化する。
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/TECHNIQUES.md`).
It sits in Development, covering Refactoring. 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 Refactoring
Example prompts
- “/adversarial-review”
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 (its code samples are markdown).
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
Adversarial Review loads about 1.2k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 177 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). 177 words, ~1,230 tokens.
Download SKILL.mdSave it as
.claude/skills/adversarial-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- adversarial-review
- description
- 敵対的分析手法を統合したレビューの entry skill。認知バイアス対策の3手法 （Pre-mortem / War Game / Logic Torturing）と、宣言・主張と実態の乖離を突く claim-vs-actual 検出3パターン（Self-Contradiction / Refactor-Claim Audit / Cross-File Leakage）へルーティングし、通常のレビューでは見えない設計の盲点・ 防御の穴・論理の弱点・宣言と実装のズレを可視化する。
- id
- adversarial-review
- category
- midstream
- phase
- upstream, midstream
- severity
- major
- applyTo
- src/**/*.{ts,tsx,js,jsx,mjs}, docs/**/*design*.md, docs/adr/**/*, pages/**/*design*.md
- inputContext
- diff, fullFile
- outputKind
- findings, questions, actions
- tags
- adversarial, pre-mortem, war-game, logic-torturing, self-contradiction, refactor-claim, cross-file-leakage, claim-vs-actual, cognitive-bias, entry, routing
- version
- 0.1.0
- license
- MIT
Adversarial Review（敵対的レビュー）
通常のコードレビューは「正しさの確認」に集中する。 敵対的レビューは 「どう壊れるか」「どう攻撃されるか」「どこが論理的に弱いか」 に集中する。
背景 / Background
AIをレビューに使う最大の価値は、情報の整理ではなく 思考の死角を映す鏡 としての活用にある。 このスキルは、2系統の敵対的手法を体系化し、レビューの質を根本的に引き上げる。
認知バイアス対策（思考の死角）
| 手法 | 対策するバイアス | 核心の問い |
|---|---|---|
| Pre-mortem | 生存バイアス・楽観バイアス | 「失敗したとして、なぜ？」 |
| War Game | 自己中心バイアス | 「敵の立場から、どう攻撃する？」 |
| Logic Torturing | 確証バイアス | 「この論理の穴を潰して」 |
claim-vs-actual 検出（宣言・主張と実態の乖離）
| 手法 | 対象とするズレ | 核心の問い |
|---|---|---|
| Self-Contradiction | 宣言と同一ファイルの実装 | 「規則 X を宣言した本人が破っていない？」 |
| Refactor-Claim Audit | 完了主張と残骸 | 「『全部やった』を grep で反証できる？」 |
| Cross-File Leakage | 構造変更と caller 側 | 「直したのは変更元だけ、参照元は？」 |
When to Use / いつ使うか
- 設計判断やアーキテクチャ変更を含むPRのレビュー時
- セキュリティに影響する変更のレビュー時
- 重要な技術選択の妥当性を検証したいとき
- 「本当にこれで大丈夫か？」という不安があるとき
Routing / ルーティング
入力に応じて、適切な手法へルーティングする。複数手法の併用も可能。
| キーワード | 手法 | スキルID |
|---|---|---|
| 失敗, リスク, 負債, インシデント, pre-mortem | Pre-mortem | pre-mortem |
| 攻撃, セキュリティ, 悪用, 脆弱性, war-game | War Game | war-game |
| 論理, 判断, 根拠, なぜ, 代替案, logic | Logic Torturing | logic-torturing |
| 自己矛盾, contradiction, 宣言と実装, declared but | Self-Contradiction | self-contradiction |
| 削減, 完了, 全て置換, all replaced, -N%, リファクタ | Refactor-Claim Audit | refactor-claim-audit |
| caller, 残骸, 参照漏れ, 再採番, leakage | Cross-File Leakage | cross-file-leakage |
| 敵対的, adversarial, 全部, フル | 全手法実行 | 上記6つすべて |
デフォルト動作
- キーワード指定なし → 変更内容から自動判定:
- 設計ドキュメント/ADR → Pre-mortem + Logic Torturing
- セキュリティ関連コード → War Game + Logic Torturing
- 一般的なコード変更 → Logic Torturing
- 宣言的フレーズ（「禁止」「必ず」「MUST」等）を含む変更 → Self-Contradiction
- 完了主張（「全置換」「-N%」等）を含む commit/PR → Refactor-Claim Audit
- 構造変更（再採番・シンボル改名・分割）を含む変更 → Cross-File Leakage
- 大規模変更（ファイル数10以上or差分500行以上）→ 全手法実行
Execution Flow / 実行フロー
1. 変更内容の分類
├─ 設計/ADR → Pre-mortem を優先実行
├─ セキュリティ関連 → War Game を優先実行
├─ 判断を含む変更 → Logic Torturing を実行
├─ 宣言的フレーズ → Self-Contradiction を実行
├─ 完了主張 → Refactor-Claim Audit を実行
└─ 構造変更 → Cross-File Leakage を実行
2. 各手法の実行（並列可能）
├─ Pre-mortem: 失敗シナリオ × 最大5件
├─ War Game: 攻撃シナリオ × 最大5件
├─ Logic Torturing: 論理検証 × 最大5件
├─ Self-Contradiction: 宣言と実装の乖離 × 最大5件
├─ Refactor-Claim Audit: 完了主張の反証 × 最大5件
└─ Cross-File Leakage: caller 側残骸 × 最大5件
3. 統合サマリの生成
├─ 重複する指摘の統合
├─ 重大度による優先順位付け
└─ Human Handoff 条件の判定Output Format / 出力形式
## 🔍 Adversarial Review Summary
### 検出された盲点: N件
- Pre-mortem: X件 (失敗シナリオ)
- War Game: Y件 (攻撃シナリオ)
- Logic Torturing: Z件 (論理的な穴)
- Self-Contradiction: A件 (宣言と実装の乖離)
- Refactor-Claim Audit: B件 (完了主張の反証)
- Cross-File Leakage: C件 (caller 側残骸)
### 最も重大な発見
<最も致命的な1件の要約>
### 詳細
(各手法の出力を統合)他スキルとの関係
| 既存スキル | 関係 | 棲み分け |
|---|---|---|
architecture-risk-register | 補完 | risk-register は「リスクが文書化されているか」を確認。Pre-mortem は「文書化されていないリスクを発見」する |
security-basic | 補完 | security-basic は既知パターン（SQLi, XSS等）を検出。War Game は「既知パターンに当てはまらない攻撃経路」を発見する |
adr-decision-quality | 補完 | adr-decision は ADR の形式品質を確認。Logic Torturing は「記述された判断の論理的強度」を検証する |
References
- TECHNIQUES.md: 3手法の理論的背景と実践ガイド
© 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/adversarial-review of hashgraph-online/awesome-codex-plugins.
- SKILL.md
- references/TECHNIQUES.md
Open the folder on GitHubat commit 3e1456a
Compare with similar skills
Adversarial Review 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 |
|---|---|---|---|---|---|---|
| Adversarial Review this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Guidelinesakash-network/node | 1.1k | 20 repos | ~577 | Automated safety check: Pass | MIT | |
| Migrate Core Code to Submodulestinyhumansai/openhuman | 42k | — | ~2.6k | Automated safety check: Pass | GPL-3.0 | |
| Component Refactoringlangflow-ai/langflow | 155k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Ponytail Lazy Developer ModeDietrichGebert/ponytail | 160k | 1 repos | ~873 | Automated safety check: Pass | MIT | |
| ast-grep Structural Searchcode-yeongyu/oh-my-openagent | 70k | — | ~3.3k | Automated safety check: Pass | MIT |
Similar skills
Migrate Core Code to Submodules
tinyhumansai/openhuman
Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.
Component Refactoring
langflow-ai/langflow
Refactor high-complexity React components in Langflow frontend.
Ponytail Lazy Developer Mode
DietrichGebert/ponytail
Makes the agent pick the laziest solution that works: skip unneeded work, reuse what exists, prefer the standard library and platform features, and keep diffs small.
ast-grep Structural Search
code-yeongyu/oh-my-openagent
Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.
Systematic Code Refactoring
luongnv89/claude-howto
Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.
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 Adversarial Review
What does Adversarial Review do?
敵対的分析手法を統合したレビューの entry skill。認知バイアス対策の3手法 （Pre-mortem / War Game / Logic Torturing）と、宣言・主張と実態の乖離を突く claim-vs-actual 検出3パターン（Self-Contradiction / Refactor-Claim Audit / Cross-File…. Adversarial Review is an agent skill from hashgraph-online/awesome-codex-plugins.
When should I use Adversarial Review?
Adversarial Review fits situations like: tasks that involve Refactoring.
How do I install Adversarial Review in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill adversarial-review -a claude-code`. Or copy the skill folder (plugins/s977043/river-review/skills/agent-skills/adversarial-review in hashgraph-online/awesome-codex-plugins) into .claude/skills/adversarial-review in your project. Claude Code loads it when a task matches its description.
How do I install Adversarial Review in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill adversarial-review -a codex`. Or copy the skill folder (plugins/s977043/river-review/skills/agent-skills/adversarial-review in hashgraph-online/awesome-codex-plugins) into .agents/skills/adversarial-review in your project. Codex loads it when a task matches its description.
Can I use Adversarial Review 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 adversarial-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adversarial-review, .gemini/skills/adversarial-review, .github/skills/adversarial-review and .opencode/skills/adversarial-review in your project.
What does Adversarial Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Adversarial Review is instructions for the agent only.
Does Adversarial Review 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 Adversarial Review 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 Adversarial Review use?
Adversarial Review 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 Adversarial Review use?
About 1.2k tokens (SKILL.md is roughly 4.9k 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 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Adversarial Review?
Skills that share tags, products or a category with Adversarial Review: Guidelines (akash-network/node, 1.1k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars), Component Refactoring (langflow-ai/langflow, 155k stars) and Ponytail Lazy Developer Mode (DietrichGebert/ponytail, 160k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Adversarial Review?
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.