Chance Dlt Predictor
基于历史数据和多维统计,运用频率、遗漏、走势、奇偶、大小、跨度等方法,科学分析并智能推荐大乐透号码。 Skill: Chance Dlt Predictor Owner: gechengling Summary: 基于历史数据和多维统计,运用频率、遗漏、走势、奇偶、大小、跨度等方法,科学分析并智能推荐大乐透号码。 Tags: DLT:1.1.0, Da-Le-Tou:1.1.0, Monte-Carlo:1.1.0, chance-dlt-predictor:4.1.1, chinese-lottery:1.1.0, chinese-market:1.0.0, data-analysis:1.1.0, dlt:1.0.0, latest:4.1.1, lottery:1.1.0, lottery-strategy:1.1.0, number-prediction:1.1.0, prediction:1.0.0, probability:1.1.0, python:1.1.0 Version history: v4.1.1 | 2
Rank
62
Safety
84
Downloads
1.3k
Updated
Oct 10, 2026
Version
4.1.1
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.3K downloadsadoption · observed Oct 10, 2026
- Latest release
- 4.1.1release · observed Sep 18, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17ewqc4f2s6gpcbm88hy7fgvn85kg1g:chance-dlt-predictor- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- 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.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chance-dlt-predictor/snapshot"
Documentation
CLAWHUB
144,681 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
--- name: Lottery Data Analysis & Number Generator (DLT) slug: finance-lottery-dlt description: AI-powered China Sports Lottery "Da Le Tou" (DLT) analysis tool — integrates 10+ methodologies including frequency statistics, omission analysis, trend analysis, odd/even & range analysis, consecutive numbers, span analysis, Monte Carlo simulation, and Python data analysis. Updated 2026 with latest historical draw database refresh and enhanced combination filtering algorithms. Provides scientific number selection and rational betting guidance. Keywords: lottery, DLT, Da Le Tou, number prediction, data analysis, lottery strategy, Chinese lottery, 大乐透, 超级大乐透, 前区, 后区, 追加投注, 胆拖, 选号策略. version: "4.1.1" --- # Lottery Data Analysis & Number Generator (DLT/大乐透) / 大乐透预测分析师| ### 数据更新最新动态 [2026-09-18更新] | 动态类型 | 内容摘要 | 发布时间 | 影响范围 | 对本工具的用处 | |---------|---------|---------|---------|---------| | 数据更新 | 2026年6月大乐透数据更新,统计分析模型参数已刷新 | 2026-06 | 预测模型数据源 | 频率/遗漏统计的历史窗口基线 | | 方法论 | MCP 2.0 Tasks扩展可支持长时运行的模拟回测 | 2026-06 | 预测架构升级 | 便于把10万次模拟跑完再收敛 | | **规则核对提醒** | 奖级、奖金与派奖规则可能随官方公告调整,历史奖金仅作量级参考,**以中国体育彩票官方最新发布为准** | 2026-09-18 | 奖级表与概率表 | 避免用过期奖金误导预期 | | **概率口径统一** | 本版补齐各奖级理论概率与"任意奖合计约2.16%"的口径,并新增概率量级对照 | 2026-09-18 | 预期管理 | 校准"必中/稳赚"类不实说法 | | **方法体系补全** | 原 Methods 3–10 仅为索引,本版补齐奇偶比、大小比、和值、区间、连号、跨度、余数、蒙特卡洛逐项说明与举例 | 2026-09-18 | 10大方法完整性 | 十种方法可直接落地使用 | > **数据截止**: 2026-09-18 | 来源:中国体彩官方 > **声明**: 以上数据供参考,彩票为随机事件,本skill仅供娱乐和数学研究; > 具体开奖结果、奖级与奖金以中国体育彩票官方最新发布为准。 > **English:** AI-powered China Sports Lottery "Da Le Tou" (DLT, 超级大乐透) professional analysis tool. Integrates 10+ methodologies: frequency heatmap, omission value analysis, trend analysis, odd/even ratio, big/small ratio, sum value, consecutive numbers, span analysis, Monte Carlo simulation, and Python data analysis. Helps lottery players select numbers scientifically and bet rationally.Probability reference only — not a prediction guarantee. > > **中文:** 超级大乐透专业分析工具。整合频率统计、遗漏分析、走势研判、奇偶区间、连号跨度、蒙特卡洛模拟、Python数据分析等10+种方法论,帮助彩民科学选号、理性投注。支持单期分析、历史规律挖掘、智能号码生成与缩水过滤。 --- ### 量化技术最新动态 [2026-09-18更新] | 动态类型 | 内容摘要 | 发布时间 | 影响范围 | 对本工具的用处 | |---------|---------|---------|---------|---------| | 框架更新 | chan.py缠论量化框架2026年持续更新,支持Python 3.11、多数据源接入(BaoStock/AkShare/Futu)、特征序列算法与机器学习集成 | 2026-H1 | 缠论量化分析工具链 | 与本工具的统计分析可共用数据管线 | | 基础设施 | MCP 2026路线图发布,四大方向:传输层可扩展性、Agent通信标准化、治理成熟度、企业就绪 | 2026-06 | 量化Agent与自动化回测 | 长时模拟任务的编排方式 | | 市场动态 | A股量化资金占比维持30%-40%,缠论分析框架需整合量化冲击与程序化交易特征 | 2026-H1 | A股量化交易策略 | 与本工具无关,仅作技术背景 | | **随机数质量** | 蒙特卡洛模拟结果依赖随机数发生器质量;普通 `random` 模块适用于教学演示,对模拟结果有更高要求时可考虑 `secrets` 或指定种子的可复现方案(以所用运行环境文档为准) | 2026-09-18 | 模拟引擎可信度 | 提升结果可复现性 | | **可复现性实践** | 建议为每次模拟固定随机种子、记录过滤条件与模拟次数,便于事后复核组合是如何产生的 | 2026-09-18 | 分析过程留痕 | 避免"结果无法追溯" | > **数据截止**: 2026-09-18 | 来源:行业公开信息、Python 官方文档 > **声明**: 以上动态供参考,具体以官方最新发布为准; > 无论工具如何升级,彩票开奖仍是独立随机事件,任何方法都不改变其中奖概率。 ## Trigger Keywords / 触发关键词| **English:** DLT, Da Le Tou, lottery, lottery prediction, lottery analysis, number select
_meta.json
{
"ownerId": "kn74e704j3ygjcygnpf02rdvd185js13",
"slug": "chance-dlt-predictor",
"version": "4.1.1",
"publishedAt": 1789708627844
}skill-card.md
## Description: Analyzes China Sports Lottery Da Le Tou (DLT) numbers using historical statistics, omission and trend filters, Monte Carlo sampling, and rational betting guidance. This skill is ready for commercial/non-commercial use. ## Publisher: [gechengling](https://clawhub.ai/user/gechengling) ### License/Terms of Use: MIT-0 ## Use Case: External users use this skill for entertainment-oriented DLT lottery analysis, historical pattern review, candidate number generation, and rational betting reminders. Outputs should be treated as statistical reference material, not financial advice or a reliable prediction. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Users may treat generated lottery numbers as reliable predictions or financial advice. Mitigation: Frame outputs as entertainment and statistical reference only, and remind users that lottery draws are random and betting should stay within a preset budget. Risk: The broad trigger list may invoke the skill during ordinary lottery discussions. Mitigation: Confirm the user is asking for DLT analysis or number-selection help before producing recommendations. Risk: The embedded Python Monte Carlo sample may be copied and run manually without review. Mitigation: Tell users to review the code in their own environment before running it and note that it does not improve winning odds. ## Reference(s): - [ClawHub skill page](https://clawhub.ai/gechengling/skills/chance-dlt-predictor) - [ClawHub publisher profile](https://clawhub.ai/user/gechengling) ## Skill Output: **Output Type(s):** [Text, Markdown, Code, Guidance] **Output Format:** [Markdown text with tables and optional Python code blocks] **Output Parameters:** [1D] **Other Properties Related to Output:** [No automatic execution; outputs are probabilistic entertainment guidance, not financial advice or prediction guarantees.] ## Skill Version(s): 4.1.1 (source: server release evidence and SKILL.md frontmatter) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
AionUi
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!
activepieces
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
cherry-studio
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
CopilotKit
The Frontend for Agents & Generative UI. React + Angular
Machine-readable data
The same record, as JSON, for agents and crawlers.
{
"facts": [
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawhub",
"href": "https://clawhub.ai/gechengling/skills/chance-dlt-predictor",
"sourceUrl": "https://clawhub.ai/gechengling/skills/chance-dlt-predictor",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T20:13:45.149Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chance-dlt-predictor/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chance-dlt-predictor/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-10T20:13:45.149Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1.3K downloads",
"href": "https://clawhub.ai/gechengling/chance-dlt-predictor",
"sourceUrl": "https://clawhub.ai/gechengling/chance-dlt-predictor",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T20:13:45.149Z",
"isPublic": true
},
{
"factKey": "latest_release",
"category": "release",
"label": "Latest release",
"value": "4.1.1",
"href": "https://clawhub.ai/gechengling/chance-dlt-predictor",
"sourceUrl": "https://clawhub.ai/gechengling/chance-dlt-predictor",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-09-18T05:17:07.844Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chance-dlt-predictor/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chance-dlt-predictor/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
],
"events": [
{
"eventType": "release",
"title": "Release 4.1.1",
"description": "v4.1.1: 补齐Methods 3-10逐项说明(奇偶比/大小比/和值/区间/连号/跨度/余数/蒙特卡洛)及各自举例与角色分工表;奖级表新增理论中奖概率列、任意奖合计约2.16%与概率量级对照表;频率法与遗漏值法各增补正反两例及遗漏区间用法对照;蒙特卡洛代码补充性质说明;新增理性购彩自检清单;动态表新增用处维度列并更新至2026-09-18",
"href": "https://clawhub.ai/gechengling/chance-dlt-predictor",
"sourceUrl": "https://clawhub.ai/gechengling/chance-dlt-predictor",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-09-18T05:17:07.844Z",
"isPublic": true
}
]
}Record generated Oct 10, 2026.
