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cccskills

「codex review」の検索結果

521 件 ・ 関連度順

概要と使いどころ

Quality gate: verify each acceptance criterion of a completed task/work unit, run quality checks, and create follow-up tasks for gaps. Use before merging or to audit delivered work. Invoked as /agiflow:review-work <work-unit-or-task>. Uses get_work_unit, get_task, update_task, create_task, create_task_comment.

日本語の概要は準備中です。原文の説明を表示しています。

hashgraph-online/awesome-codex-plugins1,2932026年10月13日 更新

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

日本語の概要は準備中です。原文の説明を表示しています。

fcakyon/claude-codex-settings1,1752026年10月12日 更新

This skill should be used when the user asks for a "GPT second opinion", wants a "cross-model review", needs to "check a plan before committing", wants another view after repeated failures, or explicitly invokes "codex-advisor".

日本語の概要は準備中です。原文の説明を表示しています。

fcakyon/claude-codex-settings1,1752026年10月12日 更新

be-review

無料

Run /be's review gauntlet SERIALLY — /lens-debate (lowy ⇄ hickey), then /codex-debate, then /simplify, then code-police, each editing and committing on the live branch in turn. Use from /be §4, or when the user asks to "run the review gauntlet". Requires Claude Code's Skill tool.

日本語の概要は準備中です。原文の説明を表示しています。

srid/emanote9642026年7月26日 更新

codex

無料

Multi-AI second opinion via OpenAI Codex CLI. Three modes: Review (pass/fail gate), Challenge (adversarial edge-case finder), Consult (freeform with session continuity). Read-only with streaming output and thinking traces. Cross-model analysis when review has already run.

日本語の概要は準備中です。原文の説明を表示しています。

paperclipai/companies9202026年3月24日 更新

Use when writing Agent Relay or Ricky workflows that must loop review, fix, and validation with fresh agent context until independent signoff agents, typically Claude and Codex, both agree the work is comprehensively complete. Covers fresh-context iterations, repairable gates, dual reviewer verdict contracts, iteration-count reporting, PR signoff comments, and blocked-state handling.

日本語の概要は準備中です。原文の説明を表示しています。

AgentWorkforce/relay8822026年10月13日 更新

Configure or change the approved worker models for codex-on-crack, inspect available models and compatibility, preview role files, or undo a setup. The user selects the lead in Codex. Setup preserves root settings, credentials, unrelated agents, and config.toml.

日本語の概要は準備中です。原文の説明を表示しています。

ethanplusai/codex-on-crack7552026年10月4日 更新

Work with the opt-in codex-on-crack build panel. Report registered run and review status, submit new screenshot evidence for a registered review, and send the user to the panel to decide. Never record user feedback or visual approval yourself.

日本語の概要は準備中です。原文の説明を表示しています。

ethanplusai/codex-on-crack7552026年10月4日 更新

Fix Elixir/Phoenix code until Codex CLI review comes back clean; Use when codex is installed and you want an external…

日本語の概要は準備中です。原文の説明を表示しています。

oliver-kriska/claude-elixir-phoenix5652026年10月6日 更新

Precision-first adversarial bug hunting for runtime, logic, data, concurrency, and security defects. Uses deterministic risk triage, evidence-bounded retrieval, Hunter/Skeptic/Referee review, optional hybrid verification, and explicit immutable Fixer scope. Scan-only and single-pass by default; complete-coverage loops, edits, autonomous fixes, and commits each require explicit intent. Use for code review, security audits, regression hunting, PR review, and evidence-backed remediation planning in skills-capable coding agents.

日本語の概要は準備中です。原文の説明を表示しています。

codexstar69/bug-hunter5242026年8月17日 更新

Recover and review local human-AI conversations from Claude Code, Codex, opencode, Grok Build, and Cursor. Use when the user wants to revisit, search, extract, summarize, or compare work across Agent session stores, time ranges, projects, or named conversations. Follow the user's requested output; question clustering, problem-space mapping, artifact review, drift analysis, and insights are optional lenses.

日本語の概要は準備中です。原文の説明を表示しています。

shareAI-lab/lab-skills3152026年9月16日 更新

CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling, solving, robustness, writing, compliance, and final submission review. Provides 10 stages, persistent decision state, competition-specific rules/templates, deterministic scoring helpers, numbered decisions, and Codex/Claude Code handoff. Do not trigger for generic model selection, ordinary data analysis, or non-competition paper review.

日本語の概要は準備中です。原文の説明を表示しています。

handsomeZR-netizen/mathmodel-skill2932026年9月26日 更新

Use when you want Codex to review its own recent history (last N days or specific period) and improve its behavior. Produces minimal, high-signal updates to AGENTS.md and tiny reusable skills. The goal is long-term fluency — Codex gradually becomes better at your specific style, constraints, and workflows.

日本語の概要は準備中です。原文の説明を表示しています。

majiayu000/spellbook2872026年10月8日 更新

Use when you want a second-opinion review via Codex CLI, cross-verification after another agent implements changes, debugging help, or alternative implementation proposals. Requires Codex CLI to be installed and authenticated.

日本語の概要は準備中です。原文の説明を表示しています。

majiayu000/spellbook2872026年10月8日 更新

Review a GitHub pull request by number or URL for evidence-backed defects. Not for reviewing local uncommitted changes.

日本語の概要は準備中です。原文の説明を表示しています。

feiskyer/codex-settings2472026年9月28日 更新

End-to-end substantive-integrity forensic sweep of a research paper (especially autoresearch / AI-Scientist-style output). Orchestrates the whole pipeline: ingest (arxiv-id | pdf | dir → working dir + pdftotext for L0) → /evidence-ledger (artifact manifest + observability level L0/L1/L2 + span-anchored claims.json) → fan out the integrity auditor skills (consistency, citation, baseline, experiment, presentation, proof-derivation, eval-design — each reads the ledger, emits span-anchored findings) + the zero-verdict-weight AIS writing-style track → advisory memos (/adversarial-case-builder + /novelty-duplication-advisory, no verdict weight) → deterministic tools/adjudicate_findings.py (--ledger REQUIRED) → reviewer-ready Integrity Forensics Report. Cross-model (fresh codex per dimension) and reviewer≠adjudicator: the model proposes findings, the deterministic adjudicator decides the verdict. Observability-aware, detect-only, never an opaque AI-text classifier (a separate zero-weight AIS section lists AI writing-style impressions, never moving the verdict). Triggers: "anti-autoresearch", "integrity audit this paper", "forensic review", "audit a submission", "审一篇投稿的诚信".

日本語の概要は準備中です。原文の説明を表示しています。

wanshuiyin/Anti-Autoresearch1612026年10月7日 更新

Review a pull request for correctness, regressions, and missing tests. Use when a mid-level developer needs structured review guidance.

日本語の概要は準備中です。原文の説明を表示しています。

proflead/codex-skills-library1572026年7月29日 更新

Edit, trim, cut, caption, subtitle, reframe, combine, add background music to, or export video, audio, and image files through Cassette. Use this skill whenever the user asks to change, preview, or render a media file in the project — even if they never say "Cassette" or name a tool — for example "trim the intro off demo.mp4", "add subtitles to this clip", "make me a 30-second cut with music", "why is there dead air at the start". Drives the local Oh My Cassette stdio MCP tools in Codex or Claude as one multi-turn conversation with the Cassette agent, with per-turn timeline previews, guided questions, and rendering only on explicit export.

日本語の概要は準備中です。原文の説明を表示しています。

Cassette-Editor/oh-my-cassette1202026年10月6日 更新

This skill should be used when a session's job is to DRIVE OPEN PRs TO MERGE rather than to write new code — "close out the open PRs", "review and fix the open PRs", "what's blocking our PRs", "which PRs are mergeable". It owns the In Review column: it reads each PR's gate status, verifies and fixes review findings on PRs OTHER sessions built, replies in-thread, and stops at the merge gate for the user's per-PR approval. Do NOT load it for building a feature and opening its PR — that is a build session (`genesis-development`).

日本語の概要は準備中です。原文の説明を表示しています。

WingedGuardian/GENesis-AGI962026年10月14日 更新

Provides a pre-submission manuscript audit covering argument, numerical consistency, references and DOIs, writing, figures, CONSORT flow, pre-registration, and the replication archive. Use before paper submission or when a draft needs an adversarial, quote-grounded review with a journal-readiness checklist. Add `--codex` to run the specification independently on Claude and Codex, GPT-6 Astra, and cross-check findings.

日本語の概要は準備中です。原文の説明を表示しています。

scdenney/open-science-skills652026年10月8日 更新

Run a pre-submission manuscript audit covering argument, numerics, references, writing, figures, methods, preregistration, and replication readiness. Add --codex for a cross-model pass in which Codex and Claude review independently and verify each other's findings.

日本語の概要は準備中です。原文の説明を表示しています。

scdenney/open-science-skills652026年10月8日 更新

Run a high-thoroughness end-to-end implementation loop using clean worker worktrees, per-slice planning, implementation, explicit review/fix iteration, orchestrator integration, and final commit/PR drafting. Use when the user explicitly wants a Ralph/Wiggum-style loop, autonomous multi-agent execution, a delegated feature/bugfix carried from confirmed scope through review-ready completion, or RFC-driven implementation that should be reviewed, bumped to In Progress, decomposed into phases, and executed through nested sub-loops. Supports Codex subagents by default and external CLI workers such as OpenCode when explicitly requested and available.

日本語の概要は準備中です。原文の説明を表示しています。

encero-systems/incan612026年10月13日 更新

Use for code/PR/diff review and refactor audits. Triggers: review this, before merge, antipattern, 리뷰, 코드 리뷰, 머지 전에 확인.

日本語の概要は準備中です。原文の説明を表示しています。

lidge-jun/codexclaw452026年10月9日 更新

ALIGN-video for Claude Code with independent Codex adversarial review. Create or revise a video through agent-authored code, rendering, editing and fresh-context audiovisual review, without image, video or music generation models. Use for reference-led animation, procedural films, motion design, explainers, construction replays, and continuing an existing coded-video project. Carries the work from reference study and animatic through a finished, reproducible film; supports explicitly requested self-review when appropriate.

日本語の概要は準備中です。原文の説明を表示しています。

wanshuiyin/ALIGN-Agentic-Loop-Image-GeneratioN442026年10月7日 更新