Use when Spark engineering knowledge must be placed, deduplicated, migrated, or validated across AGENTS, Notes, Roles, Skills, and Workflows.
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zendev-lab/cogfold22026年10月19日 更新
免费在 GitHub 公开
spark-pre-push-checks
Use when a Spark branch or pull request needs final diff hygiene, validation selection, commit scope, remote topology, and readiness checked before publication.
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查看安装方法包含的文件（1）
- SKILL.md1.2 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Spark pre-push checks
Treat repository and remote state as evidence. The upstream Session retains publication authority.
Procedure
- Read
CONTRIBUTING.md, the validation matrix, PR template, and applicable subtree instructions. - Inspect status, staged and unstaged diffs, commit range, generated output, secrets, runtime state, and unrelated edits.
- Map changed owners to focused tests, static checks, documentation checks, and compatibility gates. Run missing non-publishing checks when authorized.
- Compare every acceptance criterion with concrete code or command evidence.
- For an existing PR or stack, read back exact head/base SHAs, topology, mergeability, and current checks. Mark pending checks as pending.
Never push, force-push, create, ready, merge, or close a PR. Never claim a check passed from an old SHA. Reject when intended commit scope is ambiguous or required evidence is absent.
Return diffScope, commands, acceptanceEvidence, remoteState, pending, verdict, and blockingReasons.
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同一仓库的技能
Use when adding or updating Spark AI provider models or their compact and preflight metrics, especially baidu-oneapi, Grok, Claude, GPT, DeepSeek, OneAPI, context windows, output budgets, prices, thinking maps, or transports.
中文简介正在准备中。当前显示原文说明。
zendev-lab/cogfold22026年10月19日 更新
Use when a Spark change needs its authoritative owner, affected boundaries, risks, acceptance criteria, and smallest verifiable slice established before implementation or review.
中文简介正在准备中。当前显示原文说明。
zendev-lab/cogfold22026年10月19日 更新
Use when a Spark implementation needs an evidence-based review for correctness, ownership, compatibility, failure handling, maintainability, and unnecessary complexity.
中文简介正在准备中。当前显示原文说明。
zendev-lab/cogfold22026年10月19日 更新
Use when designing a Spark feature or writing or materially revising a design proposal that needs repository-first research, user input on unresolved key choices, and an owner-aligned implementation plan before code changes.
中文简介正在准备中。当前显示原文说明。
zendev-lab/cogfold22026年10月19日 更新
Use when a working Spark implementation should be simplified without changing its observed behavior, ownership, compatibility, or public contract.
中文简介正在准备中。当前显示原文说明。
zendev-lab/cogfold22026年10月19日 更新