Review Automation Boundary Guard SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
Review Automation Boundary Guard from s977043/river-review is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add s977043/river-review/Review Automation Boundary Guard@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- s977043/river-review
- Path
plugin-dist/river-review/skills/midstream/review-automation-boundary/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.0, committed Oct 25, 2026
- Size
- 9,398 bytes
- Repository stars
- 7
- License
- MIT
Detect review findings that belong in CI/lint/formatter rather than human review.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
## Pattern declaration Primary pattern: Reviewer Secondary patterns: Inversion Why: 自動化可能なレビュー指摘を検出しCI/lint委譲を提案するが、コード変更を含まない差分では実行不要 ## Goal / 目的 - レビュー指摘の中から「自動化できるはずの指摘」を検出し、CI/lint/フォーマッタに委ねることで人間レビューの密度を高める。 - 「機械が判定できること」をレビューに持ち込まず、人間にしか判断できない設計・仕様・セキュリティ判断に集中させる。 外部実証: [「コードレビュー指摘300件を3ヶ月分類したら効いていたのは2種類だけだった」](https://zenn.dev/kenimo49/articles/code-review-300-comments-2-effective-categories)（井本 賢, 2026-07-04）は、実際に効果があった指摘は Bug/Spec 系のみだったと報告する。Style/Naming/Refactor/Arch 系は効果が低く自動化・前倒しに適するという結果は、本スキルの方針を裏付ける一次データとして参照できる。 外部実証（続報）: [「AIレビューのブロックを100PRで測ったら、70PRはno-verifyで通り抜けていた」](https://zenn.dev/kenimo49/articles/ai-review-block-100pr-70-noverify-3month)（井本 賢, 2026-07-23）は、100 PR の実測で pre-commit hook のブロックのうち 70% が `--no-verify` で回避されていたと報告します。強制ゲートの守備範囲を「壊れて動かないコード」（構文エラー・smoke test 失敗）へ絞り、lint / 型 / スタイルの判定を AI レビュー側へ移したところ、ブロック後の修正率は 30% から 83% へ改善しました。この前後比較も、本スキルの方針を裏付ける一次データとして参照できます。 ## Non-goals / 扱わないこと - 自動化できない判断（設計方針、セキュリティ上のトレードオフ、仕様の解釈）への言及。 - 実際のコード修正の提案（このスキルはツール設定の提案のみを行う）。 - プロジェクトのスタイルガイドや規約そのものの是非を評価すること。 - 既に CI に設定が存在するルールへの重複指摘。 ## Pre-execution Gate / 実行前ゲート このスキルは以下の条件がすべて満たされない限り`NO_REVIEW`を返す。 …
Read the whole file at its exact version.
How to install
mdr add s977043/river-review/Review Automation Boundary Guard@sha256:ab6bb218a76503c2The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_dsllsajpbpt3qdf3)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9398 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
s977043/river-review · 7 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dsllsajpbpt3qdf3 GET https://markdownregistry.com/api/v1/resolve?ref=s977043/river-review/Review Automation Boundary Guard GET https://markdownregistry.com/api/v1/blob/ab6bb218a76503c2b8e4a7bf0ffa7efe17e0b6dbfdc5f595f93863f0bf1eaf1f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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