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Self-Improving Human-Resources
作者
José I. O.
· GitHub ↗
· v1.1.0
· MIT-0
105
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install self-improving-hr
功能描述
Captures policy gaps, compliance risks, recruiting process issues, onboarding friction, retention signals, candidate experience problems, and offboarding gap...
安全使用建议
What to check before installing/enabling:
- Review the included scripts (scripts/*.sh) and hook handlers (hooks/openclaw/handler.*). They run locally and create or read .learnings/ and ./skills/ files — confirm you're comfortable with that.
- Prefer project-level enablement rather than global ~/.claude or user-level settings to limit scope. Do not blindly enable PostToolUse hooks globally because the error detector reads tool output (CLAUDE_TOOL_OUTPUT) and could surface sensitive terms; use matchers or limit to HR-related sessions.
- Confirm the recommended git clone URL is from a trusted source (the SKILL.md suggests a repo). If you don't trust the upstream, inspect the files in the skill bundle first rather than cloning remotely.
- Keep the scripts executable only when needed and check file permissions. The extract-skill script writes to the current directory; run with --dry-run first to see actions.
- The skill warns repeatedly to NEVER log PII; enforce that policy procedurally (anonymization checks) before persisting any user data.
Overall, this package appears coherent and appropriate for its HR logging purpose; the main operational risk is the normal prompt-injection surface that hooks provide if enabled broadly — limit hook scope and review code before activation.
功能分析
Type: OpenClaw Skill
Name: self-improving-hr
Version: 1.1.0
The self-improving-hr skill bundle is a framework for agents to log HR-related process improvements, compliance risks, and policy gaps. It includes utility scripts (activator.sh, error-detector.sh, extract-skill.sh) and OpenClaw hooks (handler.js) that provide reminders and scaffolding for capturing organizational knowledge. The bundle explicitly mandates PII protection, lacks any network or exfiltration capabilities, and contains no evidence of malicious intent or harmful prompt injection.
能力标签
能力评估
Purpose & Capability
Name/description (capture HR learnings, log process issues, promote findings) match the included artifacts: templates, .learnings initialization, extract-skill helper, an activator, an error detector, and OpenClaw hook handlers that inject reminders. The code is focused on creating local markdown logs, scaffolding new skills, and adding a virtual bootstrap reminder—all coherent with the stated HR knowledge-capture goal.
Instruction Scope
Runtime instructions and scripts operate on local workspace files (.learnings/ and skills/), emit reminders, and scan tool output for HR/compliance keywords. They do not transmit data to external endpoints or require unrelated files. Note: the error-detector reads the CLAUDE_TOOL_OUTPUT env var (tool output) to detect keywords — this can surface potentially sensitive content if you enable PostToolUse hooks. The SKILL.md strongly warns to never log PII.
Install Mechanism
There is no formal install spec; SKILL.md recommends cloning a GitHub repo (a reasonable manual install). The package *does* include executable scripts and hook handlers (not purely instruction-only). That mismatch is not dangerous but worth noting: installing/enabling the hooks grants the skill the ability to inject content into agent sessions, so review the code before enabling. All included scripts operate locally and do not download arbitrary code.
Credentials
No required environment variables, no credentials, and no config paths are declared. The only environment access is to CLAUDE_TOOL_OUTPUT inside error-detector.sh (expected for a PostToolUse detector). There are no requests for unrelated secrets or system credentials.
Persistence & Privilege
always:false and no automatic persistence of credentials. However, enabling the provided OpenClaw hooks (agent:bootstrap, UserPromptSubmit, PostToolUse) gives the skill the ability to inject reminders/virtual files into every affected agent session. This is expected for a hook-style skill but is a behavioral privilege: enable at project scope rather than globally unless you reviewed and trust the code.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install self-improving-hr - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-improving-hr触发 - 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
v1.1.0
**Version 1.1.0**
- Added stackability contract for multi-skill installations.
- Added namespaced logging guidance (`.learnings/hr/`) for coexistence with other skills.
- Added required `Skill: hr` metadata field and cross-skill precedence/ownership rules.
- Clarified hook arbitration model (single dispatcher, dedupe, rate limiting).
v1.0.0
Self-Improving HR 1.0.0 — Initial Release
- Provides a structured system for logging HR policy gaps, compliance risks, recruiting issues, onboarding friction, retention signals, candidate experience problems, and offboarding gaps.
- Enforces strict PII protection and anonymization for all learning logs.
- Includes Quick Reference tables for immediate guidance on log categories and actions.
- Supports easy initialization and setup for OpenClaw and generic agent platforms.
- Defines process for promoting widely applicable HR learnings to policies, checklists, and compliance calendars.
元数据
常见问题
Self-Improving Human-Resources 是什么？
Captures policy gaps, compliance risks, recruiting process issues, onboarding friction, retention signals, candidate experience problems, and offboarding gap... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 105 次。
如何安装 Self-Improving Human-Resources？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-improving-hr」即可一键安装，无需额外配置。
Self-Improving Human-Resources 是免费的吗？
是的，Self-Improving Human-Resources 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Self-Improving Human-Resources 支持哪些平台？
Self-Improving Human-Resources 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 Self-Improving Human-Resources？
由 José I. O.（@jose-compu）开发并维护，当前版本 v1.1.0。
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