Install
$ agentstack add skill-open-deep-crew-marketplace-executing-plans ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
计划执行
概述
加载计划,审慎复核,分批执行任务,批次间提交审核。
核心原则:分批次执行,并设置供架构师审核的检查点。
执行开始时声明:“我正在使用计划执行技能来落实本计划。”
执行流程
第一步:加载并审核计划
- 阅读计划文件
- 审慎复核——识别计划中存在的疑问或问题
- 若存在问题:执行前向协作方提出
- 若无问题:创建待办清单并继续
第二步:分批执行
默认规则:先执行前3项任务
对每项任务:
- 标记为「执行中」
- 严格遵照每一步执行(计划已拆分为细粒度步骤)
- 按要求完成校验
- 标记为「已完成」
第三步:结果汇报
当本批次完成后:
- 展示已实现内容
- 展示校验输出结果
- 说明:“等待反馈。”
第四步:继续执行
根据反馈:
- 如需修改则进行调整
- 执行下一批次
- 重复直至全部完成
第五步:完成开发
所有任务执行并校验通过后:
- 提示用户审核代码手动合并
何时停止并寻求帮助
出现以下情况立即停止执行:
- 执行中遇到阻塞(依赖缺失、测试失败、指令不清晰)
- 计划存在重大缺口导致无法启动
- 无法理解某项指令
- 校验反复失败
宁要明确澄清,不做主观猜测。
何时回到前面步骤
回到「审核计划」(第一步)的情况:
- 协作方根据你的反馈更新了计划
- 整体思路需要重新调整
遇到阻塞不强推——停止并询问。
谨记
- 先审慎审核计划
- 严格遵照计划步骤
- 不跳过校验环节
- 按计划要求调用相关技能
- 批次间仅汇报并等待
- 遇阻即停,不臆测
- 未经用户明确许可,不得在主分支(main/master)上直接实施
技能整合
必需的工作流技能:
- skill:writing-plans——用于生成本技能所执行的计划
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: open-deep-crew
- Source: open-deep-crew/marketplace
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.