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reporeadreporead 文档

Agent Skill

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。

总安装

11,975

周安装

494

GitHub Stars

公开资料未说明

下载量

3,912
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: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

简介

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。

SKILL.md

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 balanceget_token_balance() to verify sufficient tokens
  2. Check if already importedlist_repositories() to avoid duplicates
  3. Import the repoimport_repository(github_url) — save the returned id
  4. Start analysisstart_analysis(repository_id, analysis_type) — save the returned id
  5. Poll for completionget_analysis_status(analysis_id) every 10 seconds until status is completed or failed
  6. Fetch resultsget_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: queuedprocessingcompleted 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

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

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

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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