Prepare, launch, monitor, and summarize the real RFdiffusion to ProteinMPNN to Protenix antibody pipeline on a local or remote ScienceDiscovery Runner with sandboxed Ascend NPUs.
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。
Research scientific questions with enabled literature and database connectors, distinguish curated annotations from paper evidence, and produce a cautious claim-to-source brief. Use for gene/protein function summaries, literature scans, evidence tables, paper abstract reading, or cited scientific reports.
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。
実行スコア 未検証
インストール方法を見る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。
Create an auditable evidence brief from brokered public database records. Keep every factual claim within the scope of the retrieved records.
record.contentScope before using a record. Connector search returns metadata, abstracts, or curated records—not article full text—and record.fullTextRetrieved remains false even when record.pdfAvailable says a PDF could be fetched separately.record.citation to every substantive claim. Use one canonical type per connector: [arXiv:<id>](<record.url>), [EuropePMC:<id>](<record.url>), [PMID:<id>](<record.url>), or [UniProt:<accession>](<record.url>). Citation types contain no spaces and are matched case-insensitively. Never emit a bare identifier such as [41887499], and do not cite an identifier that was not returned in this turn.run_shell (for example, python -c with environment_id selecting a Python-capable environment) to save evidence_brief.md and sources.json when files are requested. Include retrieval metadata and attribution in both outputs.Funding/COI: entry. Include a concise funding or competing-interest disclosure only when it appears in retrieved metadata or the abstract; otherwise write Funding/COI: not found in retrieved metadata. This only describes the retrieved record and does not establish that no funding or conflict exists.record.citation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。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
Prepare, launch, monitor, and summarize the real RFdiffusion to ProteinMPNN to Protenix antibody pipeline on a local or remote ScienceDiscovery Runner with sandboxed Ascend NPUs.
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。
Independent multi-dimensional assessor for material design candidates. Loads configurable scoring rubrics to evaluate candidates from different expert perspectives. Each dispatch produces structured scores, pros/cons, and verification data without sharing results with other assessors.
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。
Read, diagnose, and change the CI pipeline: GitHub Actions on pull requests, the merge queue, the nightly schedule and the release tag. Use when a job fails, when editing .github/workflows/, when asking which layer runs what, when reproducing a pipeline failure locally, or when a job needs the bubblewrap sandbox. Running the layers before proposing a change, and reading the result a proposal receives, belong to create-github-pr.
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。
Verify cited paper identity and decide whether claims in an Artifact are supported by their linked Evidence using a governed source snapshot.
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。
Use this skill when you need to write and execute Python/R code to process, transform, and analyze data, delivering reproducible computational results with complete code-level methodology documentation. Supports statistical analysis, data transformation, visualization, method justification, and structured result output.
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。
Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.
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。