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nate-clawrank内特·克拉兰克

Agent Skill

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。

总安装

2,899

周安装

122

GitHub Stars

1

下载量

1,015
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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 🦞.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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