システムカード
System Card v2.0Version 2.0 · · Governance 2.0 public evidence surface
Governance 2.0 Overview
This page is part of the starnum public Governance 2.0 surface and uses the same evidence layer as the system card, data governance, transparency report, use policy, and security policy.
Governance Summary
This page is the canonical public system disclosure for platform behavior, model/provider boundaries, and evidence-backed governance.
Scope
System behavior, AI assistance boundaries, public claims, governance metrics, provider alignment, and release integrity.
Implementation Status
Version 2.0 is the source structure used to align the other public governance pages.
バージョン2.0 · · OpenAI、Anthropic、Google Gemini の公開ガバナンス・フレームワークを参照
本システムカードは モデルカード を拡張し、starnum.com.tw プラットフォーム全体のシステム能力、知識ベース基盤、AI 支援パイプライン、品質保証、既知の制限を説明します。
1. システム概要
| プラットフォーム名 | Starnum Platform |
| バージョン | v5.0（2026-04-12） |
| 主要機能 | 紫微斗数命盤分析、生命霊数（ライフパス）計算、命理知識ベース記事 |
| 対象利用者 | 伝統的東洋術数に関心のある繁体字中国語および多言語利用者 |
| 知識体系 | 紫微：陸斌兆派（中州派）三合 + 四化；霊数：ピタゴラス体系 |
| 命盤エンジン | iztro v3.x（オープンソース、GitHub で検証可能） |
| AI モデル | Claude Sonnet 4.5（Anthropic）— 支援生成、人間によるレビュー |
| 対応言語 | 10 語言（zh-TW / zh-CN / en / ja / ko / es / vi / th / ms / id） |
| デプロイ基盤 | Cloudflare Pages + Workers + Supabase（PostgreSQL） |
2. 知識ベース基盤
2.1 規模
| 紫微斗数 KB | 225+ ファイル、88 インデックス、8 巻構成（01-基礎 ～ 09-上級） |
| 生命霊数 KB | 141 ファイル 約 56,544 行 |
| KB 総規模 | 2,758 檔 約 1,537,711+ 行の構造化テキスト |
| ベクトル索引 | 大規模語意ベクトルデータベース（Qdrant） |
| ナレッジグラフ | ナレッジグラフ（Neo4j、星曜 × 宮位 × 四化） |
2.2 知識品質グレード
- A 級：陸斌兆派 / ピタゴラスの一次文献 — 直接引用可
- B 級：iztro オープンソースエンジン / 多方公開ウェブデータ（蒸留整理） — 引用可、クロス検証推奨
- C 級：フォーラム / ブログ — A/B 級とのクロス検証がある場合のみ引用可
2.3 流派完全性メカニズム
陸斌兆派以外の四化観点は ⚠️ 非陸斌兆派 とラベル付けされます。知識ベースはブロックリストを保持し、プロンプトインジェクションが検出されたソースの再クロールを防ぎます。
3. AI 支援パイプライン
3.1 命盤わかりやすい分析パイプライン
3.2 記事生産パイプライン
4. 品質保証メカニズム
4.1 六層クローズドループ品質モデル
- L1 出力層：記事ごとに 232 項目検証、失敗時は公開せず
- L2 エラー層：失敗ログ → 同種 ≥3 回で新ルールを自動提案
- L3 パフォーマンス層：GA4 + Cloudflare トラフィックからリフレッシュ対象記事を特定
- L4 メタルール層：rule-audit.js がルール体系自体を棚卸し、90 日未発火ルールを廃止
- L5 環境層：セキュリティヘッダ、依存脆弱性、証明書期限を自動監視
- L6 戦略層：四半期ごとの戦略レビュー、競合環境と照合
4.2 主要品質指標
| 命理ハードルール | 117 條（四化 41 + 格局 49 + 核心指標 17 + 元規則 10） |
| 編集スキルモジュール | 19 スキルパック（prompts/skills/） |
| 用語辞書 | 221 用語 × 9 言語（glossary.json） |
| ケースライブラリ | 435 件（匿名化 + 検証済み） |
| 自動品質検証 | 232 項目 checklist（sop-checklist.md） |
5. 制限と既知の境界
5.1 知識の制限
- 採用するのは陸斌兆派のみ。他派（王亭之、鄭穆德ほか）は完全にはカバーしていません
- 霊数は生年月日から導出可能な数のみ計算、姓名霊数体系は非対応
- 流年予測内容は経時劣化するため、特定年号を含む予測は知識ベースに保存しない
- 対人関係の合盤（シナストリー）分析は計画中で未リリース
5.2 AI 支援の既知リスク
- ハルシネーションリスク：117 條のハードルール + 知識ベース引用タグで軽減、完全除去は不可
- 流派バイアス：訓練データが陸斌兆派寄り。他派観点はラベル付けするが深掘りは不十分
- 言語品質：10 語言翻訳は AI 支援、非母語者レビューのため品質差あり
- 時効性：AI モデルの知識カットオフが最新研究に遅れる可能性あり、人手の KB 更新で補完
6. ガバナンスと更新
| 人間監督者 | mychenan（サイトオーナー、命理研究者） |
| AI 協働者 | Claude Sonnet 4.5 × 20（Anthropic） |
| 合同監査 | バッチごと：Anthropic + OpenAI + Google Gemini governance benchmarks の四者投票 |
| 更新サイクル | システムカードは四半期ごと更新、重大な能力変更時は即時更新 |
| 公開文書 | 方法論 / モデルカード / ベンチマーク / 倫理声明 |
| ガバナンス文書 | 治理文件 / 發展路線 |
お問い合わせ：Instagram @mychenan
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.
Content Maintenance And Update Decision
This block makes governance-page content machine-checkable: every page must disclose its source artifacts, related pages, and the gate that reports update needs.
Update Decision
This is not static copy. When source artifacts, related policies, public metrics, or generators change, AI Ops reports evidence and an AI agent decides whether the page needs edits.
Human Boundary
Systems detect, report, and preserve machine-readable evidence. Codex/Claude agents perform final judgment and repair.
Verification Command
node scripts/verify-trust-pages.js --check
data/state-machine/model-card.jsondata/state-machine/public-bench.jsondata/public-claim-registry.json- Related governance pages: Data Governance · Transparency Report · Research · model-card · methodology
- Update flow:
npm run update:trust-pages→npm run test:trust
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.system-card.production-model-evidence Production model setting source scan |
{"productionModelEvidence":[]} | verified | system-card | node scripts/verify-public-evidence.js --check |
| claim.system-card.quality-gates System card machine quality gates |
{"trustPages":{"pages":180,"pass":180,"fail":0},"discovery":{"errors":0,"warnings":0},"structuredData":{"structured_data_invalid_files":0,"breadcrumb_count":28274,"faq_count":27506 | verified | system-card | node scripts/verify-trust-pages.js --check && node scripts/verify-discovery-surface.js |
| claim.system-card.kb-tm-lineage KB / TM source lineage |
{"kb":{"source_files":3238,"chunks":32724,"chunked_source_files":3238,"excluded_source_files":0,"missing_chunk_coverage":0,"orphan_chunks":0},"tm":{"total_entries":789031,"counts": | verified | system-card | node scripts/verify-public-evidence.js --check |
| claim.system-card.provider-benchmark-scope Provider benchmark scope separated from production usage |
{"benchmarkProviders":["OpenAI","Anthropic","Google Gemini"],"productionModelEvidence":[]} | verified | system-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 |