Knowledge-to-Code Alignment 新知識のコード反映・設計知識の保全 SKILL.md skillA

Knowledge-to-Code Alignment 新知識のコード反映・設計知識の保全 from s977043/river-review is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add s977043/river-review/Knowledge-to-Code Alignment 新知識のコード反映・設計知識の保全@v0.1.0

Pins 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
skills/midstream/knowledge-to-code-alignment/SKILL.md
Versions recorded
4
Latest version
v0.1.0, committed Aug 12, 2026
First version recorded
Jul 19, 2026
Size
17,605 bytes
Repository stars
7
License
MIT

リファクタリングを「更新されたチームの理解と、コードが表現する過去の理解の差分同期」と捉え、今回得た新知識(要求・ドメイン知識・制約)が naming と responsibility へ反映されているか、boundary が現在の understanding を表現しているか、diff の削除行やコメントに現れる過去の design history と constraint を失っていないかを diff-time で確認する。Knowledge Delta の signal は diff(追加/削除された hunk・コメント・ADR 参照)を一次情報とし、PR 本文が供給されるときは補助に用い、不確実なら question に留める。ドメイン用語の一貫性は ubiquitous-language-naming、集約/コンテキスト境界の設計判断は bounded-context-language、投機的抽象化・caller special-case は altitude-generalization、スコープ逸脱/前提破壊は…

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

## Origin / 由来

inspired by:

- <https://agilejourney.uzabase.com/entry/2026/07/16/103000> — リファクタリングを単なるコード整理ではなく、開発によって更新されたチームの理解と、コードが表現する過去の理解との差分を同期する活動として捉える論。

上記は観測された考え方の紹介であり、本文の転載・著者による endorsement を含まない(nominative fair use)。命名は `skills/README.md` Naming に従い value を表す新規名として付与した。

## Pattern declaration

Primary pattern: Reviewer
Secondary patterns: Inversion
Why: 新知識のコード反映と設計知識の保全は意味的判断が主だが、Knowledge Delta(比較基準)が discover できない差分では実行を止めるゲートが必要。

## Goal / 目的

リファクタリング・機能変更の diff に対し、次を diff-time で確認する。テストが通るだけでは見つからない「設計知識の消失」と「古い理解の残存」を検出する。

1. **新知識の反映**: 今回新しく得た要求・ドメイン知識・制約(Knowledge Delta)が、命名(naming)と責務(responsibility)へ反映されているか。
2. **境界の表現**: モジュール/関数の境界(boundary)が、古い理解ではなく現在の understanding を表現しているか。意図がコメントだけで補足され、コード構造へ反映されていない状態になっていないか。
3. **設計知識の保全**: ADR・過去 PR・コメントに残る過去の design history(設計判断・制約・例外・運用知識)を、今回の変更で失っていないか。

report-only。finding/question のみを出力し、自動修正・自動マージはしない。

## Non-goals / 扱わないこと(委譲表)

- **ドメイン用語の一貫性**: 同一概念の別名・別概念の同名という命名ドリフトは `ubiquitous-language-naming` が担う。本 skill は用語の一貫性ではなく、**新知識が命名・責務へ反映されたか**(Knowledge Delta の反映)を見る。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add s977043/river-review/Knowledge-to-Code Alignment 新知識のコード反映・設計知識の保全@sha256:e0c555787045da67

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_gcb7gn5e4h7yahng.svg)](https://markdownregistry.com/a/art_gcb7gn5e4h7yahng)

6 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Jul 19, 2026 and Aug 12, 2026, about one every 8 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-08-12 37e368e 17,605 BA view · diff
v0.1.02026-08-10 41785b2 17,520 BA view · diff
v0.1.02026-07-19 1468991 16,602 BA view · diff
v0.1.02026-07-19 c55a357 14,882 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17605 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

GitHub

s977043/river-review · 7 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gcb7gn5e4h7yahng
GET https://markdownregistry.com/api/v1/resolve?ref=s977043/river-review/Knowledge-to-Code Alignment 新知識のコード反映・設計知識の保全
GET https://markdownregistry.com/api/v1/blob/e0c555787045da672f4f5c093148d4ab33d2141948fdd5cf2673676a4251cbc4

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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