.claude/skills/task-executorRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
任务执行器。接收用户需求,自动拆分任务,异步执行,返回结果。 **核心功能**: - 需求输入:用户直接说需求 - 任务拆分:AI 分析,自动拆分 - 自动执行:subagent 异步执行 - 进度跟踪:本地状态 **使用场景**: - "帮我分析AI发展趋势" - "调研某个话题" - "写一份报告
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/task-executorRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/task-executorRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/task-executorRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @maoxiaohei2026-tech/task-executorclawhub inspect @maoxiaohei2026-tech/task-executor --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:67f9e1546cddbb95d64aea7e9b4a11545387c1ce81f34c8c0db5ad4bfcc88a63skill-card.mdSKILL.md- Major update: skill upgraded to version 4.0.0 with comprehensive new documentation and process breakdown. - New architecture introduced: automatic task splitting, subagent async execution, and local progress tracking. - Expanded agent roles (Main, Search, Document, Analysis) and detailed execution workflows. - Added real-world usage scenarios and examples for both simple and complex task flows. - Now supports optional integration with local state files and Feishu spreadsheets for task management and visualization. - Clearly defined core functions, trigger keywords, and best practices for asynchronous, parallel execution.