Kad Sistem
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.
Versi 1.0 · · Dirujuk pada rangka kerja Anthropic System Card
Kad Sistem ini memperluas Kad Model dan menerangkan keupayaan sistem keseluruhan starnum.com.tw, infrastruktur pangkalan pengetahuan, saluran paip berbantukan AI, mekanisme jaminan kualiti dan batasan yang diketahui.
1. Gambaran Sistem
| Nama Platform | Starnum Platform |
| Versi | v5.0 (2026-04-12) |
| Ciri Utama | Analisis carta Zi Wei Dou Shu, kiraan Numerologi (Life Path), artikel pangkalan pengetahuan astrologi |
| Khalayak Sasaran | Peminat metafizik Timur tradisional; pengguna Cina Tradisional dan pelbagai bahasa |
| Sistem Pengetahuan | Zi Wei: aliran Lu Binzhao (Zhongzhou) San-He + Si-Hua; Numerologi: sistem Pythagoras |
| Enjin Carta | iztro v3.x (sumber terbuka, boleh disahkan di GitHub) |
| Model AI | Claude Sonnet 4.5 (Anthropic) — penjanaan berbantu, semakan manusia |
| Sokongan Bahasa | 10 bahasa (zh-TW / zh-CN / en / ja / ko / es / vi / th / ms / id) |
| Infrastruktur | Cloudflare Pages + Workers + Supabase (PostgreSQL) |
2. Infrastruktur Pangkalan Pengetahuan
2.1 Skala
| KB Zi Wei Dou Shu | 225+ fail, 88 indeks, struktur 8 jilid (01-asas ~ 09-lanjutan) |
| KB Numerologi | 141 fail ~56,544 baris |
| KB Keseluruhan | 2,758 fail ~1,537,711+ baris teks berstruktur |
| Indeks Vektor | Pangkalan data vektor semantik berskala besar (Qdrant) |
| Graf Pengetahuan | Graf pengetahuan (Neo4j, bintang × istana × Si-Hua) |
2.2 Gred Kualiti Pengetahuan
- Gred A: sumber primer (Lu Binzhao / Pythagoras) — boleh dipetik terus
- Gred B: enjin sumber terbuka iztro / data web awam pelbagai sumber (disaring) — boleh dipetik dengan pengesahan silang disyorkan
- Gred C: forum / blog — hanya boleh dipetik dengan pengesahan silang Gred A/B
2.3 Mekanisme Integriti Aliran
Pandangan Si-Hua bukan aliran Lu Binzhao dilabel ⚠️ Bukan Lu Binzhao. KB mengekalkan senarai sekat untuk menghalang pemerangkapan semula sumber yang dikesan prompt injection.
3. Saluran Paip Berbantukan AI
3.1 Saluran Analisis Carta dalam Bahasa Mudah
3.2 Saluran Penghasilan Artikel
4. Mekanisme Jaminan Kualiti
4.1 Model Kualiti Gelung Tertutup Enam Lapis
- L1 Lapis Output: 232 pengesahan setiap artikel; kegagalan menyekat penerbitan.
- L2 Lapis Ralat: log kegagalan → ≥3 kali berulang mencadangkan peraturan baru secara automatik.
- L3 Lapis Prestasi: maklum balas trafik GA4 + Cloudflare mengenal pasti artikel yang perlu disegarkan.
- L4 Lapis Meta-Peraturan: rule-audit.js mengaudit sistem peraturan itu sendiri dan menyingkirkan peraturan tidak dicetuskan dalam 90 hari.
- L5 Lapis Persekitaran: pengepala keselamatan, kerentanan kebergantungan, dan tamat tempoh kelayakan dipantau secara automatik.
- L6 Lapis Strategi: semakan strategik setiap suku tahun berbanding landskap kompetitif.
4.2 Metrik Kualiti Utama
| Peraturan Keras Astrologi | 117 (41 Empat Transformasi + 49 corak + 17 penunjuk teras + 10 peraturan meta) |
| Modul Editorial | 19 pakej kemahiran (prompts/skills/) |
| Kamus Terminologi | 221 istilah × 9 bahasa (glossary.json) |
| Pustaka Kes | 435 kes astrologi (dianonimkan + disahkan) |
| Pengesahan Kualiti Automatik | Senarai semak 232 item (sop-checklist.md) |
5. Batasan dan Sempadan Diketahui
5.1 Batasan Pengetahuan
- Hanya aliran Lu Binzhao digunakan; aliran lain (Wang Tingzhi, Zheng Muting, dll.) tidak diliputi sepenuhnya.
- Numerologi hanya mengira nombor yang boleh diterbitkan daripada tarikh lahir; sistem numerologi berasaskan nama tidak disokong.
- Ramalan tahunan tamat tempoh dari semasa ke semasa; KB tidak menyimpan ramalan yang mengandungi tahun tertentu.
- Analisis keserasian hubungan (synastry) ialah ciri dirancang dan belum dilancarkan.
5.2 Risiko Bantuan AI yang Diketahui
- Risiko Halusinasi: dikurangkan oleh 117 peraturan keras + tanda petikan KB tetapi tidak dapat dihapuskan sepenuhnya.
- Berat Sebelah Aliran: data latihan condong kepada aliran Lu Binzhao; aliran lain dilabel secara sistematik tetapi tidak dibahaskan secara mendalam.
- Kualiti Bahasa: terjemahan 10 bahasa menggunakan AI yang disemak bukan penutur asli; kualiti berbeza-beza.
- Ketepatan Masa: ambang pengetahuan model AI mungkin ketinggalan daripada penyelidikan terkini; kemas kini KB manual mengimbangi.
6. Tadbir Urus dan Kemas Kini
| Penyelia Manusia | mychenan (pemilik laman, penyelidik astrologi) |
| Kolaborator AI | Claude Sonnet 4.5 × 20 (Anthropic) |
| Audit Bersama | Setiap kelompok: undian Anthropic + OpenAI + Google Gemini governance benchmarks |
| Kitaran Kemas Kini | Kad Sistem dikemas kini setiap suku tahun; perubahan keupayaan utama mencetus kemas kini serta-merta. |
| Dokumen Awam | Metodologi / Kad Model / Benchmark / Kenyataan Etika |
| Dokumen Tadbir Urus | Dokumen Tadbir Urus / Pelan Pembangunan |
Hubungi: Instagram @mychenan
Piawaian luaran dan sumber primer
Sumber primer ini memaklumkan halaman ini. Ia ialah penanda aras, bukan sokongan pihak ketiga terhadap laman ini.
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 |