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1970168137

绩效评估

作者 走过 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
232
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install performance-review-cn
功能描述
绩效面谈报告、OKR对齐度检测、校准辅助
安全使用建议
This skill appears internally consistent and low-risk because it is instruction-only and requests no credentials. However, do not paste sensitive personal data, credentials, or confidential files into the input prompt — the skill expects business context and data, and any such content could be exposed via normal agent activity. Treat outputs as advisory: review them with your HR/legal experts before acting. If you need automated processing of private records, prefer using an on-premise or vetted integration that keeps data inside your environment.
功能分析
Type: OpenClaw Skill Name: performance-review-cn Version: 1.0.0 The skill bundle contains only metadata and instructional markdown (SKILL.md) for performance review and OKR alignment tasks. There is no executable code, no network requests, and no evidence of prompt injection or malicious intent. All content is aligned with the stated purpose of assisting with business operations and performance reporting.
能力评估
Purpose & Capability
The name/description (绩效评估 / performance-review) match the SKILL.md content (performance reviews, OKR alignment, calibration). There are no unrelated required env vars, binaries, or config paths.
Instruction Scope
Runtime instructions only ask the user to paste business context, data, and requirements. They do not instruct the agent to read local files, environment variables, or send data to external endpoints beyond normal agent behavior.
Install Mechanism
No install specification and no code files are present (instruction-only). This is the lowest-risk install model and matches the skill's stated purpose.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is appropriate for a guidance/analysis skill that operates on user-provided input.
Persistence & Privilege
Flags are default (always: false, model invocation allowed). The skill does not request elevated persistence or cross-skill/system configuration changes.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install performance-review-cn
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /performance-review-cn 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: 专为绩效面谈和OKR对齐度检测设计的专业工具。 - 提供绩效面谈报告、OKR对齐度检测及校准辅助功能 - 集成行业最佳实践、标准化流程和数据驱动洞察 - 支持业务运营优化、战略决策和流程自动化 - 明确输入/输出要求,含实施和最佳实践指导 - 适用于企业、中小企业和跨职能团队
元数据
Slug performance-review-cn
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

绩效评估 是什么?

绩效面谈报告、OKR对齐度检测、校准辅助. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 232 次。

如何安装 绩效评估?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install performance-review-cn」即可一键安装,无需额外配置。

绩效评估 是免费的吗?

是的,绩效评估 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

绩效评估 支持哪些平台?

绩效评估 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 绩效评估?

由 走过(@1970168137)开发并维护,当前版本 v1.0.0。

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