Xpersona

Crawler Summary

skill-maker answer-first brief

Skill Maker Skill Maker *自動生成符合設計原則的 Agent Skills* --- 設計原則 ✅ **原則 1：Skill 必須可獨立呼叫** - 每個 Skill 有獨立的 execute() 方法 ✅ **原則 2：Skill 必須明確輸入輸出** - 使用 dataclass 定義 Schema ✅ **原則 3：Skill 必須可測試** - 內建測試案例 ✅ **原則 4：避免過度細碎的 Skill** - 整合相關功能，減少 Skill 數量 --- 快速開始 --- 產生器命令列工具 --- 產生器模板結構 --- 內建模板 1. 基礎模板 (simple) - 適合簡單的單一功能 Skill - 輸入 → 處理 → 輸出 2. 評分模板 (scoring) - 適合多指標加權評分 - 輸入 → 多指標計算 → 加權總分 → 決策 3. 狀態機模板 (state_machine) - 適合有狀態轉換的 Skill Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

skill-maker 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: 94/100

skill-maker

Skill Maker Skill Maker *自動生成符合設計原則的 Agent Skills* --- 設計原則 ✅ **原則 1：Skill 必須可獨立呼叫** - 每個 Skill 有獨立的 execute() 方法 ✅ **原則 2：Skill 必須明確輸入輸出** - 使用 dataclass 定義 Schema ✅ **原則 3：Skill 必須可測試** - 內建測試案例 ✅ **原則 4：避免過度細碎的 Skill** - 整合相關功能，減少 Skill 數量 --- 快速開始 --- 產生器命令列工具 --- 產生器模板結構 --- 內建模板 1. 基礎模板 (simple) - 適合簡單的單一功能 Skill - 輸入 → 處理 → 輸出 2. 評分模板 (scoring) - 適合多指標加權評分 - 輸入 → 多指標計算 → 加權總分 → 決策 3. 狀態機模板 (state_machine) - 適合有狀態轉換的 Skill

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Weiyongsheng1124

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Unpublished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. Last updated 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/weiyongsheng1124/skill-maker.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

Weiyongsheng1124

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

Protocol compatibility

OpenClaw

contractmedium
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

4

Snippets

0

Languages

typescript

Parameters

Executable Examples

python

from skill_maker import SkillMaker

maker = SkillMaker()

# 生成一個新 Skill
maker.generate_skill(
    name="my_custom_skill",
    description="自定義技能描述",
    inputs=["df", "params"],
    outputs=["result"],
    logic="""
    # 評分邏輯
    score = 0
    if df['Close'].iloc[-1] > df['Open'].iloc[-1]:
        score += 1
    return {"should_buy": score >= 1, "score": score}
    """
)

bash

# 產生新 Skill
python -m skill_maker generate --name my_skill --inputs df params --outputs result

# 產生測試檔案
python -m skill_maker test --skill my_skill

# 驗證 Skill 結構
python -m skill_maker validate --skill my_skill

text

skill-maker/
├── SKILL.md              # 本文件
├── skill_maker.py        # 核心產生器
├── cli.py               # 命令列工具
├── templates/
│   ├── skill.py.jinja2  # Skill 模板
│   ├── test.py.jinja2   # 測試模板
│   └── schema.py.jinja2 # Schema 模板
└── examples/
    ├── simple_skill.json
    └── trading_skill.json

text

my_skill/
├── __init__.py          # Skill 主類別
├── schema.py            # 輸入輸出 Schema
├── logic.py            # 核心邏輯
├── test_skill.py       # 測試案例
└── SKILL.md            # 說明文件

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Skill Maker Skill Maker *自動生成符合設計原則的 Agent Skills* --- 設計原則 ✅ **原則 1：Skill 必須可獨立呼叫** - 每個 Skill 有獨立的 execute() 方法 ✅ **原則 2：Skill 必須明確輸入輸出** - 使用 dataclass 定義 Schema ✅ **原則 3：Skill 必須可測試** - 內建測試案例 ✅ **原則 4：避免過度細碎的 Skill** - 整合相關功能，減少 Skill 數量 --- 快速開始 --- 產生器命令列工具 --- 產生器模板結構 --- 內建模板 1. 基礎模板 (simple) - 適合簡單的單一功能 Skill - 輸入 → 處理 → 輸出 2. 評分模板 (scoring) - 適合多指標加權評分 - 輸入 → 多指標計算 → 加權總分 → 決策 3. 狀態機模板 (state_machine) - 適合有狀態轉換的 Skill

Full README

Skill Maker

自動生成符合設計原則的 Agent Skills

設計原則

✅ 原則 1：Skill 必須可獨立呼叫 - 每個 Skill 有獨立的 execute() 方法

✅ 原則 2：Skill 必須明確輸入輸出 - 使用 dataclass 定義 Schema

✅ 原則 3：Skill 必須可測試 - 內建測試案例

✅ 原則 4：避免過度細碎的 Skill - 整合相關功能，減少 Skill 數量

快速開始

from skill_maker import SkillMaker

maker = SkillMaker()

# 生成一個新 Skill
maker.generate_skill(
    name="my_custom_skill",
    description="自定義技能描述",
    inputs=["df", "params"],
    outputs=["result"],
    logic="""
    # 評分邏輯
    score = 0
    if df['Close'].iloc[-1] > df['Open'].iloc[-1]:
        score += 1
    return {"should_buy": score >= 1, "score": score}
    """
)

產生器命令列工具

# 產生新 Skill
python -m skill_maker generate --name my_skill --inputs df params --outputs result

# 產生測試檔案
python -m skill_maker test --skill my_skill

# 驗證 Skill 結構
python -m skill_maker validate --skill my_skill

產生器模板結構

skill-maker/
├── SKILL.md              # 本文件
├── skill_maker.py        # 核心產生器
├── cli.py               # 命令列工具
├── templates/
│   ├── skill.py.jinja2  # Skill 模板
│   ├── test.py.jinja2   # 測試模板
│   └── schema.py.jinja2 # Schema 模板
└── examples/
    ├── simple_skill.json
    └── trading_skill.json

內建模板

1. 基礎模板 (simple)

  • 適合簡單的單一功能 Skill
  • 輸入 → 處理 → 輸出

2. 評分模板 (scoring)

  • 適合多指標加權評分
  • 輸入 → 多指標計算 → 加權總分 → 決策

3. 狀態機模板 (state_machine)

  • 適合有狀態轉換的 Skill
  • 狀態檢查 → 狀態轉換 → 輸出新狀態

4. 交易模板 (trading)

  • 適合量化交易相關 Skill
  • 整合風控、部位、訊號

產生的 Skill 結構

每個產生的 Skill 包含：

my_skill/
├── __init__.py          # Skill 主類別
├── schema.py            # 輸入輸出 Schema
├── logic.py            # 核心邏輯
├── test_skill.py       # 測試案例
└── SKILL.md            # 說明文件

設計原則檢查

產生器會自動驗證：

  1. ✅ execute() 方法存在
  2. ✅ Input / Output Schema 定義
  3. ✅ test_skill.py 存在
  4. ✅ Skill 功能整合（不小於 50 行邏輯）

版本資訊

  • Version: 1.0.0
  • Date: 2026-02-20

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/weiyongsheng1124-skill-maker/snapshot"
curl -s "https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/contract"
curl -s "https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/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/weiyongsheng1124-skill-maker/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:37:52.241Z"
    }
  },
  "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": "Weiyongsheng1124",
    "href": "https://github.com/weiyongsheng1124/skill-maker",
    "sourceUrl": "https://github.com/weiyongsheng1124/skill-maker",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:13:41.839Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T01:13:41.839Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/weiyongsheng1124-skill-maker/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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Ads related to skill-maker and adjacent AI workflows.