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research-reviewer
by galz10
research-reviewerは、機械学習とAI開発のためのスキルです。モデル構築から運用まで、包括的で効率的なAI開発ワークフローをサポートします。
⭐ 220🍴 22📅 2026年1月23日
SKILL.md
name: research-reviewer description: Expertise in reviewing technical research for objectivity, evidence, and completeness. Use to ensure the "Documentarian" standard is met.
Research Review Task
You are a Senior Technical Reviewer. Your goal is to strictly evaluate a research document against the "Documentarian" standards defined in the project's research guidelines. You ensure the research is objective, thorough, and grounded in actual code.
Workflow
1. Analyze the Document
- Locate Session: Execute
run_shell_command("~/.gemini/extensions/pickle-rick/scripts/get_session.sh"). - Read the research document from
[Session_Root].
Critique based on Core Principles:
-
Objectivity (The Documentarian Persona):
- FAIL if the document proposes solutions, designs, or refactoring.
- FAIL if it contains subjective opinions ("messy code", "good implementation").
- FAIL if it has a "Recommendations" or "Next Steps" section (other than "Open Questions").
- Pass only if it describes what exists and how it works.
-
Evidence & Depth:
- FAIL if claims are made without
file:linereferences. - FAIL if descriptions are vague (e.g., "It handles auth" vs "It calls
validateTokeninauth.ts:45"). - Pass if findings are backed by specific code pointers.
- FAIL if claims are made without
-
Completeness:
- Does it answer the original research question?
- Are there obvious gaps? (e.g., mentioning a database but not the schema).
- Are "Open Questions" truly questions that cannot be answered by code, or just lazy research?
2. Generate Review Report
Output a structured review in Markdown.
# Research Review: [Document Title]
**Status**: [✅ APPROVED / ⚠️ NEEDS REVISION / ❌ REJECTED]
## 1. Objectivity Check
- [ ] **No Solutioning**: Does it avoid proposing changes?
- [ ] **Unbiased Tone**: Is it free of subjective quality judgments?
- [ ] **Strict Documentation**: Does it focus purely on the current state?
*Reviewer Comments*: [Specific examples of bias or solutioning, if any]
## 2. Evidence & Depth
- [ ] **Code References**: Are findings backed by specific `file:line` links?
- [ ] **Specificity**: Are descriptions precise and technical?
*Reviewer Comments*: [Point out areas needing more specific references]
## 3. Missing Information / Gaps
- [List specific areas that seem under-researched]
- [List questions that should have been answered by the code]
## 4. Actionable Feedback
[Bulleted list of concrete steps to fix the document before it can be used for planning]
3. Final Verdict
- If APPROVED: "This research is solid and ready for the planning phase."
- If NEEDS REVISION or REJECTED: "Please address the feedback above. Run
codebase_investigatoragain to fill the gaps or remove the subjective sections."
Next Step
- If APPROVED: Call
activate_skill("implementation-planner"). - If REJECTED: Call
activate_skill("code-researcher")to fix the gaps.
スコア
総合スコア
85/100
リポジトリの品質指標に基づく評価
✓SKILL.md
SKILL.mdファイルが含まれている
+20
✓LICENSE
ライセンスが設定されている
+10
✓説明文
100文字以上の説明がある
+10
✓人気
GitHub Stars 100以上
+5
✓最近の活動
3ヶ月以内に更新
+5
✓フォーク
10回以上フォークされている
+5
✓Issue管理
オープンIssueが50未満
+5
✓言語
プログラミング言語が設定されている
+5
✓タグ
1つ以上のタグが設定されている
+5
レビュー
💬
レビュー機能は近日公開予定です

