Starnum Logic Engine
システム説明カード
本書は starnum.com.tw 占術分析システムの設計原則、知識ソース、適用範囲、既知の制限を透明に説明します。最終更新：
システム概要
| 項目 | 説明 |
|---|---|
| システム名 | Starnum Logic Engine v5.0 |
| 定位 | 紫微斗数・生命数字コンテンツ生成・分析補助システム |
| コア流派 | 陸斌兆派（中州派）紫微斗数 + ピタゴラス数字学 |
| 命盤エンジン | iztro（オープンソース JavaScript、GitHub 最活発版） |
| 知識ベース規模 | 366 ファイル、193,000+ 行の構造化占術テキスト |
| 対応言語 | 10 言語（繁中・簡中・英・日・韓・マレー・タイ・インドネシア・越・西） |
| 分析基準 | 22 標準分析ブロック、127 条の命理ハードルール自動検証 |
| 審査機構 | 多モデル相互検証 + 専門占術チームによる人的確認 |
| 文書バージョン | v5.0、リリース日 2026-04-12 |
適用範囲
本システムに適したユースケース
- 紫微斗数命盤の平易な解読（命宮・財帛宮・夫妻宮・子女宮など12宮の分析）
- 生命数字の解読（ライフパス数・誕生日数・個人年・ピーク数・チャレンジ数・9グリッド矢印線）
- 占術知識の学習と自己探求のための参考
- 紫微斗数・生命数字に関する教育コンテンツの生成と審査
本システムに適さないユースケース
- 専門的な医療・心理・法律・財務アドバイスの代替
- 具体的な出来事や正確な時刻の絶対的予測
- 未成年者へのあらゆる形式の運命判断
- 政治家・公人の命盤分析（本人同意なし）
重要な免責事項：本システムが生成するすべてのコンテンツは、個人的な探求と学習の参考のみを目的としており、専門的なアドバイスや占いサービスではありません。人生の決断は最終的にご自身が行うものです。占術は思考ツールであり、運命の縛りではありません。
知識ソース
占術知識ベースは8つの主要ソースの相互参照によって構築され、約229文書・60,000+行の構造化コンテンツを含みます。陸斌兆派（中州派）を統一基準としています。
- Aグレード（直接引用可）：陸斌兆派文献、iztro オープンソース排盤エンジン
- Bグレード（引用可、相互参照推奨）：複数ソースからの公開ネット占術資料（蒸留整理）、3つの補助研究データベース
- Cグレード（A/B グレードの裏付けが必要）：フォーラム・ブログ資料
完全なソースリストと引用ルールは 研究ページ と AIデータガバナンス に記載されています。
既知の制限
- 絶対的な出来事は予測不可 — 占術分析は傾向の描写と周期の参考を提供するものであり、何かが「必ず起こる」「必ず起こらない」を意味しません
- 流派の違い — 本システムは陸斌兆派を基準とし、他流派の観点は「⚠️ 非陸斌兆派」と標注
- 出生時刻なしの制限 — 出生時刻のない命盤は時宮の正確な計算が不可能で、分析の深さが相対的に限られます
- 数字学の範囲制限 — 生年月日から計算できる数字学項目のみ対応。姓名数字学は対象外
- 流年の時効性 — 知識ベースは長青コンテンツのみ収録。特定年の流年予測は対象外
- 文化的差異 — 主に台湾の文脈を使用。一部の解釈は他地域の慣例と異なる場合があります
バージョン履歴
関連リソース
外部基準と一次資料
以下は本ページの判断に用いる一次資料です。比較基準であり、第三者による本サイトの推奨を意味しません。
Current Machine Audit Snapshot
This block uses only traceable local audit data. No unsupported metrics or model claims are added.
- data/state-machine/i18n-parity.json: 8,036 parent URLs, 7,976 articles.
- data/kb-machine-audit.json: 3,238 source files, 0 missing coverage, 0 orphan chunks.
- data/discovery-surface-audit.json: 0 errors, 0 warnings.
- data/sla-report.json: critical / 5 critical, 0 warnings.
Verifiable Evidence Layer
This block is not a narrative claim. Each core assertion has a claim id, source JSON, hash, and a repeatable verification command. Public pages disclose governance evidence without exposing source code, secrets, private data, or exploitable attack details.
| Claim ID | Verifiable value | Status | Owner | Source and verification |
|---|---|---|---|---|
| claim.public-url-manifest.indexable-count Public URL and canonical inventory |
38,965 indexable URLs | verified | sitewide | node scripts/generate-public-evidence-manifest.js --dry |
| claim.trust-pages.audit-pass-rate Trust page machine audit |
180/180 pass | verified | sitewide | node scripts/verify-trust-pages.js --check |
| claim.discovery-surface.zero-errors AI discovery surface audit |
{"errors":0,"warnings":0} | verified | sitewide | node scripts/verify-discovery-surface.js |
| claim.structured-data.jsonld-errors JSON-LD / structured data audit |
{"structured_data_invalid_files":0,"breadcrumb_count":28274,"faq_count":27506,"dataset_count":30,"article_count":27406} | verified | sitewide | node scripts/site-machine-audit.js |
| claim.status.sla-state Status page SLA source |
critical / 5 critical, 0 warnings | verified | sitewide | node scripts/generate-status-page.js |
| claim.provider-alignment.openai-anthropic-gemini OpenAI / Anthropic / Google Gemini benchmark alignment |
benchmark alignment only unless code/config evidence exists | verified | sitewide | node scripts/verify-public-evidence.js --check |
| claim.transparency-report.sha256 Transparency report SHA-256 anchor |
{"report":"transparency/report-2026-Q3.json","sha256":"47b09e2ca4e8b8fe9dffdfaccef3b11212de9ee3a8a14badca8044e2481203c5"} | verified | sitewide | node scripts/update-transparency-current-data.js |
| claim.release-integrity.gpg-signing GPG signing status |
GPG signing configured locally; GitHub verification pending | github_verification_pending | sitewide | gpg --list-secret-keys --keyid-format=long && git log -1 --show-signature |
| claim.model-card.current-version Model card version and stale check |
{"current_version":"4.0.2","staleness_check":{"last_checked":"2026-04-16T14:25:40.228Z","is_stale":false,"stale_since":null}} | verified | model-card | node scripts/verify-public-evidence.js --check |
| claim.model-card.skill-pack-inventory Skill-pack and SOP version inventory |
{"components":{"skill_packs":{"annual-content":"2026-04-11","article-translation":"2026-04-11","astrology-logic-validation":"2026-04-12","chart-analysis":"2026-04-13","content-fina | verified | model-card | node scripts/verify-public-evidence.js --check |
| claim.model-card.answer-readiness AI answer readiness audit |
{"articles":7976,"aiAnswerReady":7976,"riskBoundaryArticles":2239,"failures":0} | verified | model-card | node scripts/verify-public-evidence.js --check |
System Card V2.0: Technical Transparency Layer
This layer publishes the technical governance evidence that can be safely disclosed: architecture, data sources, AI-use boundaries, quality gates, release integrity, and provider alignment. Source code, secrets, exploitable attack details, and private data remain out of scope.
Public architecture
Cloudflare Pages/Workers, R2/D1/KV/Pagefind, and local generation scripts form the public-site and governance publication chain. Public pages disclose behavior, state, and traceable sources, not secrets or internal permissions.
AI-use disclosure
AI-assisted workflows are used for knowledge-base retrieval, cross-checking, and error detection. Governance documents are benchmarked against OpenAI, Anthropic, and Google Gemini public frameworks. Production model usage is disclosed only when code/config evidence exists.
Quality and safety gates
Governance page audit 180/180 passing, JSON-LD errors 0, discovery-surface errors 0. Status pages report critical / 5 critical, 0 warnings as-is.
Data traceability
Knowledge base 32,724 chunks, TM 789,031 entries, AI answer-ready 7,976/7,976. Public metrics trace to data/state-machine/*, data/*audit*.json, and transparency reports.
| Governance area | OpenAI | Anthropic | Google Gemini | Starnum implementation evidence |
|---|---|---|---|---|
| Model/system-card disclosure | OpenAI models + safety docs | Claude model docs + system/model cards | Gemini model docs + safety settings | system-card, model-card, methodology, benchmark, transparency-log |
| Safety evaluation and use boundaries | Safety best practices / deployment checklist | Responsible Scaling / safety policy | Gemini safety controls / policy | AI safety, acceptable-use, ethics, risk-boundary copy, crawler policy audit |
| Data governance | Data controls / privacy controls | privacy and data handling docs | Gemini API data governance references | privacy, ai-data-governance, KB/TM source tracking, SHA-256 hashes |
| Monitoring and release | production checklist / eval discipline | system-card transparency discipline | model/version documentation discipline | deploy.js, status.html, SLA report, trust-pages-machine-audit, sitemap/hreflang audits |
- Sources: data/state-machine/model-card.json, public-bench.json, trust-pages.json, security-headers.json.
- Sources: data/trust-pages-machine-audit.json, data/discovery-surface-audit.json, data/ai-answer-readiness-audit.json.
- Sources: data/kb-machine-audit.json, data/tm/quality-audit-report.json, data/sla-report.json.
- Official benchmark docs checked: 2026-07-30; links are listed in the OpenAI / Anthropic / Google Gemini alignment table.
The V2.0 goal is not more claims; it separates implemented controls from planned controls. Production usage, benchmark alignment, status exceptions, GPG signing, and SLA breaches are disclosed from source data.
Release Integrity And GPG
GPG signing configured locally. signingkey=0934DFA0EDA6363A. GitHub verification pending until the public key upload and Verified badge are confirmed.
OpenAI / Anthropic / Google Gemini Alignment
The governance surface is benchmarked against the three public frameworks: model docs, system/model cards, safety evaluation, data governance, and use policies. This is benchmark alignment, not a claim that every provider is active in production inference. Official docs checked: 2026-07-30
| Provider | Governance focus | Starnum disclosure | Official source |
|---|---|---|---|
| OpenAI | Model documentation, latest model notes, safety best practices, and data controls. | No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks. | https://platform.openai.com/docs/models |
| Anthropic | Claude model documentation, system/model cards, Responsible Scaling, and safety policy. | No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks. | https://docs.anthropic.com/en/docs/about-claude/models |
| Google Gemini | Gemini API model documentation, safety settings, data governance, and platform policy. | No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks. | https://ai.google.dev/gemini-api/docs/models |