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Agent Skill · 研究检索

reporead(reporead 文档)

reporead 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。

reporead 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 10,889。

总安装 11,975周安装 494GitHub Stars 公开资料未说明下载 3,912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
1.2.0

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:reporead(reporead 文档)
来源仓库:https://github.com/gdperkins/reporead
安装命令:
openclaw skills install reporead
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 reporead

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于分析 GitHub 存储库,支持文档生成、安全审核和自述文件创建。适合需要快速理解代码结构、生成项目文档或进行安全评估的场景。通过关键词触发,自动调用 RepoRead AI 对指定仓库执行分析任务。安装前需确认 API 权限和存储库访问范围,避免误操作敏感数据。

依赖网络连接和外部服务,建议在非生产环境测试后再正式使用。

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 reporead;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

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

reporead 怎么安装?

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

reporead 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。

reporead 需要什么权限?

权限级别是接触敏感数据。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。

reporead 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。

reporead 用的人多吗?

公开数据是累计安装 11,975 次,近一周安装 494 次,下载 3,912 次。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。

reporead 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
reporead

reporead 文档 · 本页

11,975—接触敏感数据MIT-0通过

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
reporead
version
1.2.0
description
Analyze GitHub repositories using RepoRead AI. Use when the user asks to "analyze a repo", "generate docs", "security audit a repo", "create a README", or wants AI-powered repository analysis. Supports MCP server integration and REST API.
metadata
clawdis
primaryEnv
REPOREAD_API_KEY
homepage
https://www.reporead.com
requires
env
anyBins
config
requiredEnv

RepoRead — AI Repository Analysis

RepoRead is an AI-powered platform that analyzes GitHub repositories and generates documentation, technical architecture breakdowns, security audits, visual diagrams, and LLM-optimized summaries. Connect via the MCP server (preferred) or REST API to analyze any public GitHub repository.

Quick Start

1. Get an API Key

Sign up at reporead.com and create an API key at reporead.com/settings. Keys use the rrk_ prefix.

2. Set the Environment Variable

export REPOREAD_API_KEY="rrk_your_api_key_here"

Add to your shell profile (~/.zshrc, ~/.bashrc) to persist across sessions.

3. Verify Connection

bash {baseDir}/scripts/check-connection.sh

This confirms your API key is valid and shows your current token balance.

4. Connect the MCP Server (Recommended)

Add to your MCP configuration (e.g. claude_desktop_config.json, .mcp.json):

{
  "mcpServers": {
    "reporead": {
      "type": "streamable-http",
      "url": "https://api.reporead.com/mcp",
      "headers": {
        "Authorization": "Bearer rrk_your_api_key_here"
      }
    }
  }
}

Replace rrk_your_api_key_here with your actual API key.

MCP Tools

When the MCP server is connected, these tools are available:

ToolDescription
import_repository(github_url)Import a GitHub repo by URL
list_repositories(page?, per_page?)List imported repos
get_repository(repository_id)Get repo details by ID
start_analysis(repository_id, analysis_type, branch?)Queue an analysis job
list_analyses(page?, per_page?, repository_id?, status?, analysis_type?)List jobs with filters
get_analysis(analysis_id)Get full analysis results
get_analysis_status(analysis_id)Lightweight status poll
get_token_balance()Check available tokens and tier

REST API Fallback

If the MCP server is not configured, use the REST API helper script:

# Check token balance
bash {baseDir}/scripts/reporead-api.sh balance

# Import a repository
bash {baseDir}/scripts/reporead-api.sh import https://github.com/owner/repo

# Start an analysis
bash {baseDir}/scripts/reporead-api.sh analyze <repository_id> technical

# Check analysis status
bash {baseDir}/scripts/reporead-api.sh status <analysis_id>

# Get full analysis results
bash {baseDir}/scripts/reporead-api.sh results <analysis_id>

# List repositories
bash {baseDir}/scripts/reporead-api.sh repos

Or call the REST API directly:

Base URL: https://api.reporead.com/public/v1 Auth: Authorization: Bearer $REPOREAD_API_KEY

EndpointMethodDescription
/repositoriesPOSTImport repo {"github_url": "..."}
/repositoriesGETList repos ?page=1&per_page=20
/repositories/{id}GETGet repo details
/analysesPOSTStart analysis {"repository_id": "...", "analysis_type": "..."}
/analysesGETList analyses ?repository_id=...&status=...
/analyses/{id}GETGet full results
/analyses/{id}/statusGETLightweight status check
/tokens/balanceGETCheck token balance

Choosing an Analysis Type

ContextTypeWhat You Get
New to a codebase, need orientationtechnicalArchitecture, patterns, key components
Need to create or update documentationreadmeFull README documentation
Pre-deploy, PR review, or security auditsecurityVulnerability analysis, risk assessment
Need visual architecture diagramsmermaidWorkflow and system diagrams
Building AI tools that consume repo contextllmstxtLLM-optimized summary

Default: Use technical if unsure. Full docs: Combine readme + mermaid. Free tier: readme and llmstxt only. Paid tiers unlock all types.


Workflow

  1. Check balance — get_token_balance() to verify sufficient tokens
  2. Check if already imported — list_repositories() to avoid duplicates
  3. Import the repo — import_repository(github_url) — save the returned id
  4. Start analysis — start_analysis(repository_id, analysis_type) — save the returned id
  5. Poll for completion — get_analysis_status(analysis_id) every 10 seconds until status is completed or failed
  6. Fetch results — get_analysis(analysis_id) — the results field contains the full output
  7. Use the results as context for the user's task

Common Patterns

Understand a Codebase Before Working on It

When the user says "explain this repo" or you need context before coding:

  1. Import the repo
  2. Run start_analysis(repo_id, "technical")
  3. Poll until completed
  4. Use the architecture breakdown, key patterns, and component descriptions as working context

Generate Documentation

When the user wants a README, docs, or visual diagrams:

  1. Import the repo
  2. Run both in parallel:

- start_analysis(repo_id, "readme") - start_analysis(repo_id, "mermaid")

  1. Poll both until completed
  2. Combine the README content with the visual diagrams

Security Check Before Deploy

When reviewing a repo for vulnerabilities or doing a PR audit:

  1. Import the repo
  2. Run start_analysis(repo_id, "security")
  3. Poll until completed
  4. Review findings and flag critical issues to the user

Token Awareness

  • Always call get_token_balance() before starting an analysis
  • If available_tokens is low, tell the user — they can purchase more at reporead.com/settings
  • Monthly allowances: Free 100K, Starter 500K, Growth 1M
  • Larger repos consume more tokens
  • reserved_tokens shows tokens held for in-progress analyses

Tips

  • Poll get_analysis_status, not get_analysis — much lighter payload
  • Poll every 10 seconds. Analysis takes 1-5 minutes depending on repo size
  • Status values: queued → processing → completed or failed
  • If status is failed, show the error field to the user — do not retry automatically
  • Use list_repositories before import_repository to avoid "already imported" errors
  • The branch parameter is optional — defaults to the repo's default branch
  • Rate limit: 60 requests/minute burst
  • analysis_type must be one of: readme, technical, security, mermaid, llmstxt

平台分布

OpenClaw

98.03%
按下载量换算3,835

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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