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Run [implement-spec](../implement-spec/SKILL.md) with Codex doing the implementation passes while you orchestrate, integrate, and review. Use when the user asks to implement a spec with Codex, or to run implement-spec with Codex as the implementer.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | implement-spec-with-codex |
| description | Run [implement-spec](../implement-spec/SKILL.md) with Codex doing the implementation passes while you orchestrate, integrate, and review. Use when the user asks to implement a spec with Codex, or to run implement-spec with Codex as the implementer. |
Run implement-spec exactly — same loop, same
gates, same maintenance checkpoints — but Codex writes the code. Invoking this
skill IS the explicit ask that authorizes codex exec delegation under the
codex skill.
codex exec, sliced sharp and prompted per the codex skill (prompt
blocks, sandbox choice, exec liveness). Run independent slices as concurrent
execs in separate worktrees, exactly where implement-spec would fan out
subagents.Keep a pass yourself only when slicing it sharply would cost more than doing it — tiny fixups, plan reconciliation, integration conflicts.
Use this skill to detect cheating in evaluation result directories (not jsonl format). Evaluation directories contain CVE subdirectories with agent traces in agent-logs/last_mini_run.traj.json. This skill: 1) Converts directory structure to jsonl; 2) Detects cheating patterns; 3) Launches parallel agents for verification; 4) Aggregates results. Trigger when user mentions: check cheating in evaluation results, detect cheating in eval directory, or provides a path like 'model/date' format.
Use this skill to detect and filter cheating cases in agent training data. Cheating is defined as an agent obtaining official fix code/patches from the network to reference or copy. This skill can: 1) Scan training data for cheating patterns (curl github, git show commit, npm pack, etc.); 2) Launch parallel agents to verify if detected cases are real cheats or false positives; 3) Filter out verified cheating cases from the dataset. Trigger when user mentions: cheating detection, filter cheating, verify cheating, clean training data, or wants to remove cases where agents downloaded fix code.
Guides Generator Agent to write high-quality dynamic test_vuln.py for CVE reproduction. Provides PoC level classification (P1-P5), CWE-specific payload collections, runtime judgment criteria, and structured self-check workflow. Use when Generator writes vulnerability tests, mentions CWE, test_vuln, PoC, exploit, security test, XSS, SQL injection, command injection, path traversal, CSRF, buffer overflow, use-after-free, missing authorization, or file upload.