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dawnlck

OKR for clawbot

by InfiniEcho · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
410
Downloads
1
Stars
3
Active Installs
2
Versions
Install in OpenClaw
/install okr
Description
基于流行 OKR 体系管理智能体目标(O)与关键结果(KR)。当用户提到目标管理、季度计划、OKR、关键结果、复盘、评分、经验沉淀时使用,并将信息维护到 memory/okr.md。
Usage Guidance
This skill is internally coherent and appears to do only OKR-related work: it will read and update ~/.openclaw/workspace/memory/okr.md to store objectives, KRs, and post-completion reviews. Before installing, confirm you are comfortable with a skill that will modify that specific file (back it up if needed). There are no network calls, installs, or credential requirements declared. If you need stricter control, avoid granting autonomous invocation or review edits the skill makes before they are saved.
Capability Analysis
Type: OpenClaw Skill Name: okr Version: 1.0.1 The skill bundle is a legitimate tool for managing Objectives and Key Results (OKRs). It provides structured instructions for an AI agent to track goals and progress within a local Markdown file (`~/.openclaw/workspace/memory/okr.md`). There is no evidence of malicious intent, data exfiltration, or unauthorized command execution; the instructions are strictly aligned with the stated purpose of goal management and include explicit warnings against recording sensitive information.
Capability Assessment
Purpose & Capability
Name/description (OKR management) align with the instructions: creating O/KR, tracking progress, enforcing reviews, and persisting to ~/.openclaw/workspace/memory/okr.md. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md limits actions to reading/updating the specified memory file, normalizing KRs, and producing reviews/scores. It explicitly instructs to read before writing and not to record sensitive credentials. It does not request broader system access or network exfiltration.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing is downloaded or written to disk by an installer beyond the normal read/write of the declared memory file at runtime.
Credentials
The skill requires no environment variables, credentials, or config paths beyond the single workspace memory file it maintains. The requested access (read/write to memory/okr.md) is proportionate to an OKR manager.
Persistence & Privilege
The skill persists state to ~/.openclaw/workspace/memory/okr.md (expected for a memory-backed helper). It is not always-enabled and does not request elevated privileges, but it will modify a file in the user's workspace when invoked — consider whether you trust automatic updates to that file.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install okr
  3. After installation, invoke the skill by name or use /okr
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- 修改了复盘评分方式,从数字分数(5/4/3.75/3.5/3.25)改为文字等级(Outstanding/Excellent/M+/Meeting Expectations/M-) - 其余功能和结构保持不变
v1.0.0
OKR 1.0.0 初始发布 - 支持基于 OKR 框架管理目标(O)和关键结果(KR),包括目标设定、KR 量化、进度追踪。 - 目标完成后,需强制执行标准复盘流程并采用分级评分体系。 - 所有信息结构化写入 memory/okr.md,包含 KR 跟踪与复盘归档。 - 具备同义词识别、最小可执行 KR 改写等智能提示与约束。 - 覆盖常用场景,包括目标规划、KR 拆解、进度更新、复盘、经验沉淀等 OKR 关键环节。
Metadata
Slug okr
Version 1.0.1
License MIT-0
All-time Installs 3
Active Installs 3
Total Versions 2
Frequently Asked Questions

What is OKR for clawbot?

基于流行 OKR 体系管理智能体目标(O)与关键结果(KR)。当用户提到目标管理、季度计划、OKR、关键结果、复盘、评分、经验沉淀时使用,并将信息维护到 memory/okr.md。 It is an AI Agent Skill for Claude Code / OpenClaw, with 410 downloads so far.

How do I install OKR for clawbot?

Run "/install okr" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is OKR for clawbot free?

Yes, OKR for clawbot is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does OKR for clawbot support?

OKR for clawbot is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created OKR for clawbot?

It is built and maintained by InfiniEcho (@dawnlck); the current version is v1.0.1.

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