Context Budget Tuning SKILL.md skillA
Context Budget Tuning 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/Context Budget Tuning@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
skills/upstream/context-budget-tuning/SKILL.md- Versions recorded
- 2
- Latest version
- v0.1.0, committed Jun 29, 2026
- First version recorded
- Jun 29, 2026
- Size
- 6,984 bytes
- Repository stars
- 7
- License
- MIT
.river-review.{yaml,json} の context.budget / ranking / reviewMode 設定をモデル仕様とリポジトリ規模に合わせて調整するレビュー観点。.
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: Tool Wrapper
Why: `.river-review` の context 設定変更時に、reviewMode プリセット選択 / token・char 上限 / ranking weights をモデル仕様と照合してレビューする educator スキル。
## Goal / 目的
- `.river-review.{yaml,json}` の `context.reviewMode` / `context.budget` / `context.ranking` 変更が **モデル仕様 (`model.modelName`) と整合しているか** をレビューで確認する。
- `reviewMode: tiny | medium | large` プリセットの **既定値 (1024 / 4000 / 16000 max tokens)** と explicit `budget` の優先関係を理解させる。
- ranking weights (`pathProximity` / `symbolUsage` / `siblingTest` / `commitRecency`) の **0.0〜1.0 範囲** とスキーマキー名を schema (`src/config/schema.mjs`) と照合する。
## Guidance
### reviewMode プリセット既定値 (`src/lib/context-presets.mjs`)
| reviewMode | maxTokens 既定 | 想定モデル |
| ---------- | -------------- | -------------------------------------- |
| `tiny` | 1024 | コンテキスト窓の小さいモデル / 短い PR |
| `medium` | 4000 | gpt-4o-mini / sonnet 級モデルの通常 PR |
| `large` | 16000 | 大型モデルでの深掘りレビュー |
- 明示的 `context.budget` がある場合は **常に preset より優先** する。
- `budget.maxTokens` の上限は schema で `64000`、`maxChars` は `200000` まで。
### モデル仕様との整合チェック
…Read the whole file at its exact version.
How to install
mdr add s977043/river-review/Context Budget Tuning@sha256:8778e6e3ec010615The 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_zpershdt5wljwgpn)
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Versions
The registry has recorded 2 versions of this file, all committed on Jun 29, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-06-29 | 45e66bc | 6,984 B | A | view · diff |
| v0.1.0 | 2026-06-29 | b988700 | 7,000 B | A | view |
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 (6984 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_zpershdt5wljwgpn GET https://markdownregistry.com/api/v1/resolve?ref=s977043/river-review/Context Budget Tuning GET https://markdownregistry.com/api/v1/blob/8778e6e3ec01061560da10c7d93e91f5170bbd33340eb419731eee364eff50ca
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.