Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use the official Kaggle CLI through the policy-enforcing wrapper in this skill. The wrapper records bounded, redacted audit data; confines downloads to an approved directory; and blocks remote mutation unless the user explicitly authorizes it.
Confirm the requested Kaggle resource and whether the action is read, download, write, or delete. Do not broaden user authority.
Use an isolated Python 3.11+ environment with kaggle>=2.2,<3.
Configure Kaggle authentication outside commands and source files. Never read, print, echo, log, or commit credential values.
Run the non-mutating prerequisite check:
python scripts/kaggle_research.py doctor --json
Run discovery commands before downloads or mutations. Keep every download under an explicitly chosen output root.
Preserve generated audit JSON and artifact hashes with the research outputs.
Report exact commands, resource references, timestamps, failures, and generated artifacts. Distinguish verified observations from assumptions.
Pass Kaggle arguments after -- so their order is preserved:
python scripts/kaggle_research.py run --audit artifacts/audit.json -- datasets list -s iris -v
python scripts/kaggle_research.py run --output-root artifacts/kaggle -- datasets download -d owner/dataset
Preview any potentially mutating command first:
python scripts/kaggle_research.py run --dry-run --allow-write -- datasets create -p dataset-package
An actual remote write additionally requires explicit user authorization and
--allow-write. A delete additionally requires --allow-delete and
--confirm-resource matching the exact resource classified by the wrapper.
The runtime never retries writes or deletes.
The live smoke workflow calls Kaggle's real service, inspects all supported resource groups, downloads a small public dataset, and verifies its hash:
python scripts/kaggle_research.py smoke-readonly --output-root artifacts/kaggle-smoke --report artifacts/kaggle-smoke-report.json
The corresponding integration test is opt-in so normal unit tests do not depend on network access:
AERS_KAGGLE_LIVE=1 python -m unittest discover -s tests -p "test_live_readonly.py" -v
Only run the live lane when credentials are already available in the process environment. It must remain read/download-only.
Read only the reference page required for the active task.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
VS-Enhanced Research Question Refiner - Prevents Mode Collapse and derives differentiated research questions Enhanced VS 3-Phase process: Modal question avoidance, alternatives presentation, differentiated RQ recommendation Use when: refining research ideas, formulating research questions, clarifying scope Triggers: research question, 연구 질문, PICO, SPIDER, research idea
日本語の概要は準備中です。原文の説明を表示しています。
VS-Enhanced Theoretical Framework Architect with Critique & Visualization Full VS 5-Phase process: Modal theory avoidance, Long-tail exploration, differentiated framework presentation Absorbed A3 (Devil's Advocate) critique and A6 (Conceptual Framework Visualizer) capabilities Use when: building theoretical foundations, designing conceptual models, deriving hypotheses, critiquing frameworks, visualizing models Triggers: theoretical framework, 이론적 프레임워크, conceptual model, 개념적 모형, hypothesis derivation, critique, devil's advocate, 반론, visualization, diagram
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, and Socratic guided modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review.
日本語の概要は準備中です。原文の説明を表示しています。