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Gate the work behind a local reviewer panel.
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
A relentless interview that asks every frontier question at once, round by round. (Sherif's version).
Load when creating a new skill, scaffolding a SKILL.md, adding a reference page to a skill, writing or tuning a skill's description, or restyling/auditing an existing skill. Carries the authoring patterns (progressive disclosure, router, voice, triggering) a skill is shaped with.
Load when planning or about to git commit, branch, push, rebase, resolve a merge conflict, open PR, stack PR, or write/update the description of a Pull Request (PR / stacked diff), respond to review comments, review a PR, or watch/babysit a PR's CI. Carries the user's git conventions and style you are expected to match. Load as early as possible, the moment git or GitHub work is anywhere in the chat's future.
The user's coding and docs conventions and taste. Load FIRST, at the start of any task that touches code or docs.
Use when setting up, shaping, or auditing a project's CI/CD: a build/test/scan pipeline, a release pipeline, or publishing an artifact (container image, binary, bundle) with signing/attestation. Optionally use the skill to transform a repo's CI/CD to the recommended shape, aka (cicd-fy).
/afk, but local-only and conservative.
| name | review |
| description | Gate the work behind a local reviewer panel. |
| license | MIT |
| argument-hint | [number of reviewers, default 2] |
| disable-model-invocation | true |
| metadata | {"author":"sherifabdlnaby","version":"0.1.0"} |
The task isn't done until it passes a reviewer panel. Run the gate before declaring done.
$ARGUMENTS = reviewer count, default 2:
1 → fork reviewer only.2 → 1 independent + 1 fork.N → N−1 independents with distinct lenses (correctness, functionality, simplification, security, tests) + 1 fork.Reviewer types:
Cross-model: If you are Claude, and have access to Open AI Model (like in Cursor), then prefer cross-model reviewers as long as they're not a weaker model. For example, Opus 4.8 <-> GPT 5.5