Xpersona

Crawler Summary

CrewAI_engineer answer-first brief

用于crewAI项目的学习为以后的AI工程师打基础 CrewAI Engineer 学习仓库 用于记录我学习 CrewAI、多 Agent、Flow 和企业级 AI 工程的实践过程。 项目索引 | 项目 | 一句话说明 | |---|---| | $1 | 输入课程主题，由多个 Agent 依次完成资料搜索、课程规划、内容编写、测验设计和代码审查。 | | $1 | 健康档案 PDF 先离线灌入本地 Chroma，再由两个 Agent 在线检索并生成 Markdown 报告。 | 仓库维护约定 - 今后的 CrewAI 学习项目都放在本仓库中，每个项目使用独立文件夹。 - 首页项目索引只用一句话区分项目，详细实现和学习记录写在各项目自己的 README 中。 - 文件夹使用清晰稳定的英文名称，不把虚拟环境、缓存、IDE 配置或密钥上传到 GitHub。 Course Generator 学习记录 当前执行链路： Flow 位于 Crew 外层，负责输入校验、状态保存、质量路由、重 Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

CrewAI_engineer is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

CrewAI_engineer

用于crewAI项目的学习为以后的AI工程师打基础 CrewAI Engineer 学习仓库 用于记录我学习 CrewAI、多 Agent、Flow 和企业级 AI 工程的实践过程。 项目索引 | 项目 | 一句话说明 | |---|---| | $1 | 输入课程主题，由多个 Agent 依次完成资料搜索、课程规划、内容编写、测验设计和代码审查。 | | $1 | 健康档案 PDF 先离线灌入本地 Chroma，再由两个 Agent 在线检索并生成 Markdown 报告。 | 仓库维护约定 - 今后的 CrewAI 学习项目都放在本仓库中，每个项目使用独立文件夹。 - 首页项目索引只用一句话区分项目，详细实现和学习记录写在各项目自己的 README 中。 - 文件夹使用清晰稳定的英文名称，不把虚拟环境、缓存、IDE 配置或密钥上传到 GitHub。 Course Generator 学习记录 当前执行链路： Flow 位于 Crew 外层，负责输入校验、状态保存、质量路由、重

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Sitongjun

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 10/9/2026.

View Source

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Sitongjun

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

3

Snippets

0

Languages

python

Executable Examples

text

Web Research
    → Curriculum Architect
    → Content Writer
    → Quiz Master
    → Code Reviewer

powershell

cd course-generator-main

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -e .

$env:DEEPSEEK_API_KEY="your-deepseek-key"
$env:SERPER_API_KEY="your-serper-key"

python -m src.main "CrewAI Flow Tutorial" --flow

text

离线：PDF → 切块 → Embedding → 本地 Chroma
在线：用户问题 → 检索 Agent → 报告 Agent → output/health_report.md

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

用于crewAI项目的学习为以后的AI工程师打基础 CrewAI Engineer 学习仓库 用于记录我学习 CrewAI、多 Agent、Flow 和企业级 AI 工程的实践过程。 项目索引 | 项目 | 一句话说明 | |---|---| | $1 | 输入课程主题，由多个 Agent 依次完成资料搜索、课程规划、内容编写、测验设计和代码审查。 | | $1 | 健康档案 PDF 先离线灌入本地 Chroma，再由两个 Agent 在线检索并生成 Markdown 报告。 | 仓库维护约定 - 今后的 CrewAI 学习项目都放在本仓库中，每个项目使用独立文件夹。 - 首页项目索引只用一句话区分项目，详细实现和学习记录写在各项目自己的 README 中。 - 文件夹使用清晰稳定的英文名称，不把虚拟环境、缓存、IDE 配置或密钥上传到 GitHub。 Course Generator 学习记录 当前执行链路： Flow 位于 Crew 外层，负责输入校验、状态保存、质量路由、重

Full README

CrewAI Engineer 学习仓库

用于记录我学习 CrewAI、多 Agent、Flow 和企业级 AI 工程的实践过程。

项目索引

| 项目 | 一句话说明 | |---|---| | Course Generator | 输入课程主题，由多个 Agent 依次完成资料搜索、课程规划、内容编写、测验设计和代码审查。 | | Health Record RAG | 健康档案 PDF 先离线灌入本地 Chroma，再由两个 Agent 在线检索并生成 Markdown 报告。 |

仓库维护约定

  • 今后的 CrewAI 学习项目都放在本仓库中，每个项目使用独立文件夹。
  • 首页项目索引只用一句话区分项目，详细实现和学习记录写在各项目自己的 README 中。
  • 文件夹使用清晰稳定的英文名称，不把虚拟环境、缓存、IDE 配置或密钥上传到 GitHub。

Course Generator 学习记录

当前执行链路：

Web Research
    → Curriculum Architect
    → Content Writer
    → Quiz Master
    → Code Reviewer

Flow 位于 Crew 外层，负责输入校验、状态保存、质量路由、重试和最终输出。

已完成的实践

  • 理解 Agent、Task、Tool、Crew、Process 和 Flow 的职责边界。
  • 在原课程生成流程最前面增加 Web Research Agent 和 Research Task。
  • 使用 SerperDevTool 搜索资料，并使用 ScrapeWebsiteTool 读取网页。
  • 将 Web Research 结果通过 Task Context 传给后续 Agent。
  • 将模型切换为 DeepSeek，并通过环境变量读取 API Key。
  • 统一要求 Agent 输出中文。
  • 支持 Crew 直接运行和 Flow 编排运行。
  • 学习一个 Task 为什么可能包含多次 LLM iteration 和 Tool 调用。
  • 分析整条 Crew 重跑带来的重复搜索、Token 消耗和延迟问题。

当前待改进点

  • Reviewer 仍使用关键词判断是否通过，下一步改为 Pydantic 结构化输出。
  • 当前修改流程可能重跑完整 Crew，下一步根据问题类型实现局部重试。
  • Web Research 结果尚未建立带 TTL 的缓存。
  • 尚未加入每个 Agent、LLM 和 Tool 的调用次数与成本统计。
  • 尚未使用 FastAPI 对外提供 HTTP API。

本地运行

cd course-generator-main

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -e .

$env:DEEPSEEK_API_KEY="your-deepseek-key"
$env:SERPER_API_KEY="your-serper-key"

python -m src.main "CrewAI Flow Tutorial" --flow

详细说明参见项目内的 README。

下一阶段学习路线

  1. 使用 ReviewResult 和 output_pydantic 实现结构化审查结果。
  2. 使用 Guardrail 检查 status 与 issues 是否逻辑一致。
  3. 将各阶段结果保存在 Flow State，实现最小范围重试。
  4. 为 Web Research 增加缓存键、TTL 和强制刷新机制。
  5. 使用 FastAPI 提供课程生成接口，并补充任务状态查询。
  6. 增加鉴权、限流、超时、日志、Trace 和成本预算。

安全说明

  • .env、虚拟环境、缓存和 IDE 配置不会提交到仓库。
  • API Key 只能通过环境变量配置，不能写入源码或 README。
  • Web Research 获取的网页内容应视为不可信输入，Agent 应采用最小 Tool 权限。

Health Record RAG 学习记录

当前执行链路：

离线：PDF → 切块 → Embedding → 本地 Chroma
在线：用户问题 → 检索 Agent → 报告 Agent → output/health_report.md

已完成的实践：

  • 把官方 PDFSearchTool 的「构造时灌库」拆成独立 ingest 与在线检索。
  • 用 FastAPI 提供上传灌库、知识库查看和 OpenAI 兼容问答接口；没有 FastAPI 也能用命令行跑通。
  • 处理 DashScope Embedding 对长文本超时：官方软切后再做 350 字硬上限。

详细说明参见 health-record-rag/README.md。

更新日期：2026-09-07

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T16:45:48.248Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Sitongjun",
    "href": "https://github.com/sitongjun/CrewAI_engineer",
    "sourceUrl": "https://github.com/sitongjun/CrewAI_engineer",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T13:16:27.954Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T13:16:27.954Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/sitongjun/CrewAI_engineer",
    "sourceUrl": "https://github.com/sitongjun/CrewAI_engineer",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T13:16:27.954Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sitongjun-crewai-engineer/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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