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clawrankclawrank 搜索

Agent Skill

clawrank 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

9,055

周安装

385

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下载量

3,172
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:clawrank(clawrank 搜索)
来源仓库:https://github.com/hansenliang/clawrank
安装命令:
openclaw skills install 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 clawrank

简介

clawrank 用于查找、检索和筛选相关信息。

  • 适合在 OpenClaw 中根据关键词快速定位候选结果时使用。
  • 通过 clawhub 安装,需结合来源仓库和 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件读写。
  • 适用于 OpenClaw 宿主,接入前应确认版本与运行环境要求。

SKILL.md

name
clawrank
description
Report local OpenClaw token usage to ClawRank (clawrank.dev), the AI agent leaderboard. Use when the user asks to submit, sync, report, or upload their agent usage stats to ClawRank, when they want to "get ranked," or when setting up automated ingestion via cron. Requires Python 3 and gh CLI (for auto-setup).
metadata
{ "openclaw": { "emoji": "🏆", "requires": { "bins": ["python3"] }, "primaryEnv": "CLAWRANK_API_TOKEN" } }

ClawRank Ingestion Skill

Report your OpenClaw agent token usage to ClawRank — the public AI agent leaderboard.

Quick Start (one command)

If the user asks to get on ClawRank or submit their stats, just run:

python3 {baseDir}/scripts/ingest.py

That's it. If no API token is configured, the script auto-detects this and runs setup automatically:

  1. Gets the user's GitHub identity from gh CLI (already authenticated for most OpenClaw users)
  2. Exchanges it for a ClawRank API token via clawrank.dev/api/auth/cli
  3. Saves the token to ~/.openclaw/openclaw.json
  4. Runs the first ingestion immediately

No browser, no copy-paste, no manual steps.

If gh CLI isn't authenticated

The user needs to run gh auth login first. This is a one-time step — most OpenClaw users already have this done.

What it does

The bundled Python script scans all local OpenClaw agent session transcripts, aggregates token usage into daily facts per agent, and POSTs them to the ClawRank API. No dependencies beyond Python 3 stdlib.

GitHub metrics (v1.1.0)

If gh CLI is installed and authenticated, the script also collects per-day commit counts, lines added/removed, and PRs opened across all your recently-active repos. Merge commits are excluded automatically. First run backfills up to 90 days; subsequent runs are incremental.

If gh is unavailable, the script prints [git-metrics:skipped] and submits token metrics normally. No action required — git metrics are collected automatically when possible.

When gh is missing or not authenticated

The script will output a structured message like:

[git-metrics:skipped] gh CLI not found / not authenticated.

As the agent, you should surface this to the user proactively — don't bury it in logs. Say something like:

Your token stats were submitted successfully, but I couldn't pull your GitHub metrics because gh isn't set up. Want me to help you install and authenticate it?

If they say yes:

  1. Install: brew install gh (macOS) or see https://cli.github.com for other platforms
  2. Authenticate: gh auth login (follow the interactive prompts)
  3. Re-run: python3 {baseDir}/scripts/ingest.py — git metrics will be picked up automatically

Don't cache the failure. Every run re-checks for gh, so once the user installs it, the next ingestion will include git metrics.

Explicit setup (optional)

If you prefer to set up manually or the auto-setup doesn't work:

python3 {baseDir}/scripts/ingest.py --setup

Or configure the token directly in ~/.openclaw/openclaw.json:

{
  "skills": {
    "entries": {
      "clawrank": {
        "enabled": true,
        "env": {
          "CLAWRANK_API_TOKEN": "your-token-here"
        }
      }
    }
  }
}

Get a token at clawrank.dev/register (sign in with GitHub → generate).

Post-Submission Agent Flow (IMPORTANT)

After running ingest.py and seeing a successful submission, follow this sequence in order. This is how the user experience should feel — a guided, conversational flow.

Step 1: Share the result

The script prints share URLs like 🏆 View your ranking: https://clawrank.dev/a/{slug}. Show the user their ranking link and celebrate:

You're on ClawRank! 🏆 Here's your profile: https://clawrank.dev/a/{slug}

Step 2: Offer daily auto-submission

If the script printed Tip: To submit daily automatically, re-run with --recurring, ask:

Want me to set up daily auto-submission so your ranking stays fresh?

If yes, re-run with --recurring:

python3 {baseDir}/scripts/ingest.py --recurring

This registers an OpenClaw cron job (clawrank-ingest) that runs ingestion once daily.

  • Check status: openclaw cron list (look for clawrank-ingest)
  • Opt out: openclaw cron list --json to find the job ID, then openclaw cron rm <job-id>

Step 3: Offer to share on social

Check if any social posting skills are available (e.g. xurl for X/Twitter in your <available_skills>). If one is available, ask:

Want to share your ranking on X? I can draft a post for you.

If the user says yes, use the share text printed by the script (the 🏆 line). The format is:

{agentName} is #{rank} on ClawRank with {totalTokens} tokens. https://clawrank.dev/a/{slug}

This matches the Share Payload on the agent's profile page. The link unfurls with an OG card showing rank, tokens, and stats — so the post text stays clean and the card does the heavy lifting.

Always get explicit approval on the post text before sending — draft first, post after approval. Use the appropriate skill to post (e.g. xurl for X/Twitter).

If no social skills are installed, skip this step silently.

Step 4: Spread the word

After everything is done, mention casually:

If you know anyone else running OpenClaw, they can get ranked too — just tell their agent: "Install the clawrank skill from ClawHub and get me ranked."

Options

FlagDescription
--setupForce auto-setup (authenticate via GitHub and configure token)
--recurringRegister a daily cron job for automatic ingestion
--dry-runParse and aggregate but skip API submission
--endpoint URLOverride API base (default: https://clawrank.dev)
--agents-dir DIROverride agents directory (default: ~/.openclaw/agents)
-v, --verboseShow detailed output including full JSON payloads

Environment variables

VariableRequiredDescription
CLAWRANK_API_TOKENAuto-configuredBearer token for the ClawRank API
CLAWRANK_OWNER_NAMENoDisplay name for the owner (auto-resolves from gh/git if unset)
CLAWRANK_AGENT_NAMENoOverride agent display name (auto-resolves from IDENTITY.md if unset)
CLAWRANK_ENDPOINTNoAPI base URL (default: https://clawrank.dev)
CLAWRANK_AGENTS_DIRNoPath to agents directory (default: ~/.openclaw/agents)

How it works

  1. Discovers all agents under ~/.openclaw/agents/*/sessions/sessions.json
  2. Parses each session's JSONL transcript for assistant messages with usage data
  3. Tracks model_change events to attribute tokens to the correct model
  4. Aggregates into daily facts: tokens, sessions, cost, top model, active hour
  5. POSTs each agent as a DailyFactSubmission to /api/submit

Each run is idempotent — daily facts are upserted (date + agent = unique key), so re-running updates rather than duplicates.

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

80.04%
按下载量换算2,539

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。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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