Xpersona

Crawler Summary

define-definition answer-first brief

從 USER 問題中，提去意圖畫出重點，像 USER 提問 --- name: define-definition description: 從 USER 問題中，提去意圖畫出重點，像 USER 提問 --- define-definition 定義問題 user 可能對自己的問題不是很清楚，透過推論並分析這些問題並反問 USER 正確問題 1. 需確認使用者是誰 2. 他有何意圖 3. 在 /data file 中寫入一個 .txt 檔案，並且若無使用記錄則登入下來 --- name: generating-pptx description: Write use data/user_log and generate a nice look pptx --- generating-pptx 產生簡報檔案 根據 data/user_log 中的資料產生精美的 PowerPoint 簡報 1. 讀取 data/user_log 中的使用者記錄 2. 分析資料並組織成簡報結構 3. 使用適當的 Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

define-definition is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 80/100

define-definition

從 USER 問題中，提去意圖畫出重點，像 USER 提問 --- name: define-definition description: 從 USER 問題中，提去意圖畫出重點，像 USER 提問 --- define-definition 定義問題 user 可能對自己的問題不是很清楚，透過推論並分析這些問題並反問 USER 正確問題 1. 需確認使用者是誰 2. 他有何意圖 3. 在 /data file 中寫入一個 .txt 檔案，並且若無使用記錄則登入下來 --- name: generating-pptx description: Write use data/user_log and generate a nice look pptx --- generating-pptx 產生簡報檔案 根據 data/user_log 中的資料產生精美的 PowerPoint 簡報 1. 讀取 data/user_log 中的使用者記錄 2. 分析資料並組織成簡報結構 3. 使用適當的

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 15, 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 4/15/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Eepson123tw

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Unpublished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 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/eepson123tw/agent-skills.git
  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

Eepson123tw

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Apr 15, 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 OPENCLEW

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

從 USER 問題中，提去意圖畫出重點，像 USER 提問 --- name: define-definition description: 從 USER 問題中，提去意圖畫出重點，像 USER 提問 --- define-definition 定義問題 user 可能對自己的問題不是很清楚，透過推論並分析這些問題並反問 USER 正確問題 1. 需確認使用者是誰 2. 他有何意圖 3. 在 /data file 中寫入一個 .txt 檔案，並且若無使用記錄則登入下來 --- name: generating-pptx description: Write use data/user_log and generate a nice look pptx --- generating-pptx 產生簡報檔案 根據 data/user_log 中的資料產生精美的 PowerPoint 簡報 1. 讀取 data/user_log 中的使用者記錄 2. 分析資料並組織成簡報結構 3. 使用適當的

Full README

name: define-definition description: 從 USER 問題中，提去意圖畫出重點，像 USER 提問

define-definition

定義問題

user 可能對自己的問題不是很清楚，透過推論並分析這些問題並反問 USER 正確問題

  1. 需確認使用者是誰
  2. 他有何意圖
  3. 在 /data file 中寫入一個 .txt 檔案，並且若無使用記錄則登入下來

name: generating-pptx description: Write use data/user_log and generate a nice look pptx

generating-pptx

產生簡報檔案

根據 data/user_log 中的資料產生精美的 PowerPoint 簡報

  1. 讀取 data/user_log 中的使用者記錄
  2. 分析資料並組織成簡報結構
  3. 使用適當的簡報格式和設計
  4. 產生 .pptx 檔案並放入 ./output 更新存在的 user_report.pptx

name: extracting-pptx description: Extract data from PDF files, analyze content, and generate PPTX presentation reports

extracting-pptx

PDF 內容抽取與簡報生成

從 PDF 檔案中提取資料，進行分析處理，並產生精美的 PowerPoint 簡報

功能流程

  1. 讀取 PDF 檔案

    • 支援從 ./data 目錄讀取 .pdf 檔案
    • 解析 PDF 文字內容、表格、圖片

  2. 內容提取

    • 提取所有文字內容（段落、標題）
    • 提取表格數據並結構化
    • 識別並提取圖片
    • 解析頁面佈局資訊

  3. 資料分析

    • 統計頁數、文字量、表格數量
    • 關鍵字頻率分析
    • 主題分類與段落摘要
    • 重點內容識別

  4. 產生 PPTX 簡報

    • 將 PDF 內容重新組織成簡報結構
    • 自動排版：標題頁、內容頁、摘要頁
    • 美化設計：配色、字體、圖表
    • 輸出到 ./output/pdf_analysis_report.md

使用情境

  • 將 PDF 報告轉換成簡報格式
  • 從 PDF 文件快速製作會議簡報
  • PDF 內容摘要與視覺化
  • 多個 PDF 文件的對比分析簡報

name: intelligent-report description: Generate customized reports based on user needs from user_log and extracted content

intelligent-report

智能報告生成

根據 user_log 中的使用者資訊和需求，從提取的內容中生成客製化、結構清晰的報告

功能流程

  1. 解析使用者需求

    • 讀取 data/user_log.txt 中的使用者資訊
    • 識別使用者角色、意圖、需求
    • 分析使用者的訪問目的

  2. 內容智能篩選

    • 根據使用者需求從 PDF 提取相關內容
    • 過濾無關或低品質的 OCR 結果
    • 重組和清理混亂的文字

  3. 客製化報告生成

    • 測試人員: 生成技術細節、功能分析
    • 訪客/瀏覽者: 生成摘要、重點整理
    • 管理人員: 生成執行摘要、關鍵洞察
    • 根據意圖調整內容深度和格式

  4. 輸出結構化報告

    • 生成清晰的 Markdown 報告
    • 包含個人化的標題和摘要
    • 輸出到 ./output/{user_code}_report.md

使用情境

  • 為不同角色的使用者生成專屬報告
  • 從混亂的 OCR 結果中提取有用資訊
  • 自動化個人化文件生成
  • 多使用者批次報告生成

Contract & API

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

MissingGITHUB OPENCLEW

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://xpersona.co/api/v1/agents/eepson123tw-agent-skills/snapshot"
curl -s "https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/contract"
curl -s "https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/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.

Related Agents

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

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
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://xpersona.co/api/v1/agents/eepson123tw-agent-skills/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:03:09.098Z"
    }
  },
  "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"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "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": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Eepson123tw",
    "href": "https://github.com/eepson123tw/agent-skills",
    "sourceUrl": "https://github.com/eepson123tw/agent-skills",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T04:12:28.193Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T04:12:28.193Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/eepson123tw/agent-skills",
    "sourceUrl": "https://github.com/eepson123tw/agent-skills",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T04:12:28.193Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/eepson123tw-agent-skills/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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