Real Skill packageSource verifiedClawHub registry

双色球算法选号防被骗 · 理性选号助手 + 防割韭菜盾

双色球算法选号防被骗 · 理性购彩科普助手 + 防割韭菜盾：随机性检验、选号思路科普与打假、胆拖结构优化、开奖数据核对，只讲真话、帮你买得明白不被大师割韭菜。当用户想了解双色球开奖的随机性、鉴别选号套路、核对开奖数据、或做理性购彩科普时使用。生成严谨的科普分析报告，内置对"预测可行性"的统计证伪（红球熵效率/任一组合恒等概率/样本外回测/no_edge 结论）、22 项自检护栏。核心立场：数学上任何选号思路都不优于随机，仅供娱乐参考，须量力而行、绝不可作为收益依据。

Identity and source

Publisher attributionhmily741963registry owner unverified by skillvetai
Functional categoryAwaiting category reviewreview pending · 0% rule confidence
Package forminstruction with code63 recorded files
Canonical sourceClawHub registryclawhub:hmily741963:ssq-skill
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/24/2026.claude/skills/ssq-probability-analyzer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/24/2026.agents/skills/ssq-probability-analyzer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/24/2026skills/ssq-probability-analyzer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @hmily741963/ssq-skill
clawhub inspect @hmily741963/ssq-skill --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
partial text content
Files
40 / 63 inspected as text
Checked
8/24/2026, 1:20:36 PM
Scanner
0.1.3
Policy
1.0.3
6 inferred permission indicators
  • shell execution — automatically inferred
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
  • credential access — automatically inferred
  • browser control — automatically inferred
25 dependency and API indicators
  • api: api.huiniao.top
  • api: datachart.500.com
  • api: image.baidu.com
  • api: kjh.55128.cn
  • api: news.baidu.com
  • api: so.toutiao.com
  • api: sports.sina.com.cn
  • api: view.lottery.sina.com.cn
  • api: webapi.sporttery.cn
  • api: weixin.qq.com
  • api: www.17500.cn
  • api: www.78500.cn
  • api: www.baidu.com
  • api: www.bing.com
  • api: www.bjfc.com.cn
  • api: www.cjcp.com.cn
  • api: www.cmzj.net
  • api: www.cwl.gov.cn
  • api: www.jjckb.cn
  • api: www.lottery.gov.cn
  • api: www.mof.gov.cn
  • api: www.tjtc.org.cn
  • api: www.w3.org
  • api: www.ydniu.com
  • api: www.zhcw.com
External clawhub result: suspicious

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/24/2026, 1:02:23 PM
Release binding
Matches this record
  • skillspector: suspicious
  • llm: suspicious

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:b092af3e3b058058c9403071176defb24412035a417dabdcf8bd287a092a3152
Show up to 30 recorded paths
  • changelog.md
  • check_undefined_names.py
  • faq.md
  • memory.md
  • methodology.md
  • operations.md
  • README.md
  • responsible_play_2026.md
  • run_ssq.py
  • scripts.md
  • skill-card.md
  • SKILL.md
  • ssq_analysis_methods.md
  • ssq_auto.py
  • ssq_common.py
  • ssq_cross_validate_v84_final.py
  • ssq_dantuo_optimizer.py
  • ssq_data_recovery.py
  • ssq_data_source.json
  • ssq_deep_analysis.py
  • ssq_draw_announcement.py
  • ssq_draw_check.py
  • ssq_eci_backtest.py
  • ssq_enhance.py
  • ssq_exhaustive.py
  • ssq_expert_accuracy.json
  • ssq_expert_history.json
  • ssq_expert_picks.json
  • ssq_expert_roster.py
  • ssq_expert_scraper.py

Source changelog

**Changelog for ssq-skill 1.0.0** - Initial release of the skill under the name ssq-probability-analyzer, providing scientific, honest analysis and anti-fraud education for "Shuangseqiu" lottery players. - Generates strict probability reports, including randomness tests, debunking of selection myths, optimized "dan-tuo" structures, and result verification. - Built-in 22-point self-check system and clear mathematical statements: all number-picking methods are no better than random, and this is highlighted throughout usage and reports. - Emphasizes entertainment and responsible participation, outright rejecting claims of profitable or guaranteed outcomes. - Fully local, cross-platform, and requires only Python3 standard library—no external dependencies or registration needed. - Strong stance and validation: aligns with official, media, and industry standards for responsible lottery tools…