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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Verify cited paper identity and decide whether claims in an Artifact are supported by their linked Evidence using a governed source snapshot.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Review one locked Artifact without modifying it.
CITATION_IDENTIFIER_MISMATCH;
treat an explicit not-found result as CITATION_IDENTIFIER_NOT_RESOLVED; treat a network,
provider, or timeout failure as CITATION_SOURCE_UNAVAILABLE. The latter is inconclusive and
never proves a paper is fabricated.CITATION_CLAIM_NOT_SUPPORTED only when those available sources clearly contradict the
claim or show that it is over-broad. Return INCONCLUSIVE when a full text or more context would
be needed; do not turn insufficient evidence into a defect.Return only the required structured result. Findings must use one of the supported CITATION_*
codes above or CITATION_CLAIM_NOT_SUPPORTED, preserve every supplied Evidence alias, and state
one concise reason. Do not emit a finding for a supported citation.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Open or update a pull request on GitHub's openJiuwen-ai/sciencediscovery: run the UT/ST/E2E layers locally, push the branch to the operator's own GitHub fork, write a body that says what was verified with numbers, apply exactly one release:* label so the release note can classify it, then read the pull request and its Actions run back. Use when asked to create a PR, submit a change for review, when a branch is ready to propose, when labelling a pull request for the release note, or when reading a GitHub Actions result on a pull request. This is the only path for proposing a change: gitcode.com is a read-only mirror with no pipeline of its own. Titles and bodies are English. For filing an issue, or for the gh commands this procedure assumes, read the github skill first.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.