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Agent Skill · 效率

nate-clawrank(内特·克拉兰克)

nate-clawrank 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

nate-clawrank 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 16,280。

总安装 2,899周安装 122GitHub Stars 1下载 1,015核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nate-clawrank(内特·克拉兰克)
来源仓库:https://github.com/joeycacciatore3/nate-clawrank
安装命令:
openclaw skills install nate-clawrank
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install nate-clawrank

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

nate-clawrank 为 OpenClaw 代理提供多维度螃蟹主题性能评分系统。适用于会话质量评估、Agent 能力追踪与改进反馈。在对话中自动记录 7 项得分(0–10),支持轨迹回溯。使用前无需额外配置,但建议定期导出数据进行分析。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install nate-clawrank;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

nate-clawrank 怎么安装?

在终端执行 openclaw skills install nate-clawrank。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

nate-clawrank 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

nate-clawrank 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

nate-clawrank 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

nate-clawrank 用的人多吗?

公开数据是累计安装 2,899 次,近一周安装 122 次,下载 1,015 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

nate-clawrank 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
nate-clawrank

内特·克拉兰克 · 本页

2,8991只读MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
clawrank
version
1.0.0
description
>

🦞 ClawRank — Agent Performance System

Tiers

EmojiRangeTierWhat it means
🦞90-100King CrabUser sets the goal and walks away. It's done right.
🦀80-89DungenessDrives independently. Rare guidance needed.
🦐70-79Blue CrabSolid execution. Still needs direction on approach.
🐚60-69Hermit CrabDelivers when pointed. Doesn't lead yet.
🪸50-59BarnacleFrequent corrections. Repeated mistakes.
🧊<50FrozenFundamental reliability problems.

7 Dimensions (0-10 each → sum = score out of 70 → normalized to 100)

1. Initiative

*Did the agent lead or wait to be told?*

  • 0-2: Waited for every instruction.
  • 3-4: Executed well but needed direction to start.
  • 5-6: Mixed. Identified some issues proactively.
  • 7-8: Caught problems before user did. Proposed approaches.
  • 9-10: Led entirely. User only provided the goal.

2. Precision

*Did the work land on the first attempt?*

  • 0-2: Multiple revisions. User pushed back repeatedly.
  • 3-4: Acceptable but user asked for more depth.
  • 5-6: Mostly right. Minor adjustments needed.
  • 7-8: Clean delivery. Zero pushback.
  • 9-10: Exceeded expectations. More than asked for.

3. Communication

*Did the agent keep the user informed without being asked?*

  • 0-2: User asked for updates multiple times.
  • 3-4: Updated only after being prompted.
  • 5-6: Proactive mostly. Occasional silence.
  • 7-8: Consistent updates. Flagged risks early.
  • 9-10: User always knew status. Never had to ask.

4. Growth

*Did the agent learn and change behavior — not just acknowledge mistakes?*

  • 0-2: Repeated known mistakes.
  • 3-4: Acknowledged mistakes but no behavioral change.
  • 5-6: Added protections. Partial follow-through.
  • 7-8: Applied past lessons proactively. Changes stuck.
  • 9-10: Zero repeated mistakes. Compounding improvement.

5. Judgment

*Did the agent choose the right approach, depth, and timing?*

  • 0-2: Wrong approach entirely. Over-built or under-built.
  • 3-4: Reasonable but missed better alternatives.
  • 5-6: Good calls mostly. Occasional miscalibration.
  • 7-8: Consistently right trade-offs between speed and quality.
  • 9-10: Every decision was the best available option.

6. Resourcefulness

*Did the agent solve problems independently?*

  • 0-2: Asked user things it could've figured out.
  • 3-4: Mostly self-sufficient. Some unnecessary questions.
  • 5-6: Used tools effectively. Found answers independently.
  • 7-8: Creative problem-solving. Self-sufficient.
  • 9-10: Solved novel problems with no guidance.

7. Taste

*Did the agent know when to ship, when to push harder, and when to stop?*

  • 0-2: Shipped broken work or polished endlessly.
  • 3-4: Inconsistent quality sense.
  • 5-6: Generally good "done" instinct. Occasional miss.
  • 7-8: Knew when to stop. Pushed back with better alternatives.
  • 9-10: Every deliverable hit the sweet spot. Premium without excess.

Scoring

Calculate

raw = sum of 7 dimensions (max 70)
final = round(raw / 70 × 100)

Format

## 🦞 ClawRank: XX/100 — [Tier]

| Dimension | Score | Evidence |
|-----------|-------|----------|
| Initiative | X/10 | (one line) |
| Precision | X/10 | (one line) |
| Communication | X/10 | (one line) |
| Growth | X/10 | (one line) |
| Judgment | X/10 | (one line) |
| Resourcefulness | X/10 | (one line) |
| Taste | X/10 | (one line) |
| **Raw** | **XX/70** | |
| **Final** | **XX/100** | |

Trajectory

Track weekly in agent-sync:

## Weekly Trend
| Week | Score | Tier | Delta |
|------|-------|------|-------|
| W1 | 77 | 🦐 Blue Crab | — |
| W2 | 82 | 🦀 Dungeness | +5 |

Peer Review

Reviewer scores independently using the same table. Final reported score = (self + peer) / 2. Disagreement >2 on any dimension requires a one-line explanation.

Rules

  1. Evidence mandatory. No evidence = automatic 5/10 for that dimension.
  2. Score at session end only. Mid-session checks are estimates, not ClawRank.
  3. No inflation. Got asked "update me"? Communication isn't 8.
  4. Trend over spikes. Consistent 80 beats volatile 70-95.
  5. Target: sustained Dungeness 🦀, reaching for King Crab 🦞.

平台分布

OpenClaw

92.04%
按下载量换算934

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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