Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Run on the same locked Artifact with its supplied Evidence Bundle. In the bounded Deep pipeline, this local Evidence comparison runs before Citation source verification.
[evN] alias in the same sentence or Markdown table cell.INCONCLUSIVE when the Evidence excerpt does not contain enough context; do not report
insufficient content as a value mismatch.Return only the required structured result. Use a concrete COMPUTATION_* finding code such as
COMPUTATION_EVIDENCE_VALUE_MISMATCH, COMPUTATION_EVIDENCE_SCOPE_MISMATCH,
COMPUTATION_EVIDENCE_INTERPRETATION_OVERREACH, or COMPUTATION_EVIDENCE_INSUFFICIENT.
Preserve the supplied Evidence alias and provide one concise reason; do not invent a separate
correction field that the review protocol cannot persist.
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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.
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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.
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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.
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Verify cited paper identity and decide whether claims in an Artifact are supported by their linked Evidence using a governed source snapshot.
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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.
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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.
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