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Política de Uso Aceptable

Acceptable Use Policy v2.0

Version 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 sets the practical rules for using the platform without treating outputs as professional advice or guaranteed predictions.

Scope

Allowed learning use, prohibited high-stakes reliance, harmful-use boundaries, affiliate disclosure, and shared footer governance links.

Implementation Status

Version 2.0 makes the policy testable through risk-boundary audits and link-safety verification.

Esta política regula el uso permitido de todo el contenido astrológico (Zi Wei Dou Shu y numerología) y de los servicios de análisis en lenguaje claro en starnum.com.tw. Al usar esta plataforma, usted acepta cumplir con esta política.

1. Naturaleza del Contenido Astrológico

Todo el contenido astrológico de este sitio es una herramienta cultural de autoexploración que ofrece perspectivas sobre tendencias de personalidad, rasgos energéticos y temas de vida. No es:

2. Usos Permitidos

3. Usos Prohibidos

3.1 Estrictamente prohibido (la plataforma eliminará o bloqueará de inmediato)

3.2 Requiere precaución adicional (responsabilidad del usuario)

4. Directrices para Contenido Generado con Asistencia de IA

Algunas interpretaciones en lenguaje claro en este sitio son asistidas por IA y revisadas por humanos. Al citar o compartir dicho contenido astrológico asistido por IA, los usuarios deben:

5. Aplicación

El sitio se reserva el derecho de tomar las siguientes medidas contra usuarios que infrinjan esta política:

6. Actualizaciones de la Política

Esta política puede actualizarse a medida que el servicio evolucione. Los cambios relevantes se anunciarán en @mychenan, y se actualizará la fecha de versión en la parte superior de la página.

7. Contacto

Para cualquier consulta sobre esta política, contáctenos por Instagram @mychenan.

Current Machine Audit Snapshot

This block uses only traceable local audit data. No unsupported metrics or model claims are added.

2026-05-26
Maintained
13/13
LLM loops
180/180
Governance pages
0
JSON-LD errors
32,690
KB chunks (HEALTHY)
529,820
TM entries; verified 93,529
7,976/7,976
AI answer-ready; failures 0
critical
Status page: 2 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 IDVerifiable valueStatusOwnerSource and verification
claim.public-url-manifest.indexable-count
Public URL and canonical inventory
27,634 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 / 2 critical, 0 warnings verified sitewide node scripts/generate-status-page.js
claim.provider-alignment.openai-anthropic-gemini
OpenAI / Anthropic / Google Gemini benchmark alignment
production evidence: claude-sonnet-4-5-20250514 verified sitewide node scripts/verify-public-evidence.js --check
claim.transparency-report.sha256
Transparency report SHA-256 anchor
{"report":"transparency/report-2026-Q2.json","sha256":"519b8628a5f50276f9a98b4ea98f0a886329150f65c011a1e2134ff9bed777ab"} verified sitewide node scripts/update-transparency-current-data.js
claim.release-integrity.gpg-signing
GPG signing status
GPG signing active locally; checked GitHub commit verification is valid verified sitewide gpg --list-secret-keys --keyid-format=long && git log -1 --show-signature
claim.acceptable-use.risk-boundary-coverage
Acceptable-use risk-boundary coverage
{"articles":7771,"aiAnswerReady":7771,"riskBoundaryArticles":2194,"failures":0} verified acceptable-use node scripts/verify-public-evidence.js --check
claim.acceptable-use.provider-use-boundary
Provider alignment is not a production model claim
{"unsupportedProductionModelClaimsBlocked":true,"rule":"Named frontier models are not treated as production usage unless code/config evidence exists.","benchmarkProviders":["OpenAI verified acceptable-use node scripts/verify-public-evidence.js --check
claim.acceptable-use.footer-link-safety
Footer link safety audit
{"pages":180,"pass":180,"fail":0} verified acceptable-use node scripts/verify-trust-pages.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/Pagefind, Supabase, 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 / 2 critical, 0 warnings as-is.

Data traceability

Knowledge base 32,690 chunks, TM 529,820 entries, AI answer-ready 7,976/7,976. Public metrics trace to data/state-machine/*, data/*audit*.json, and transparency reports.

Governance areaOpenAIAnthropicGoogle GeminiStarnum implementation evidence
Model/system-card disclosureOpenAI models + safety docsClaude model docs + system/model cardsGemini model docs + safety settingssystem-card, model-card, methodology, benchmark, transparency-log
Safety evaluation and use boundariesSafety best practices / deployment checklistResponsible Scaling / safety policyGemini safety controls / policyAI safety, acceptable-use, ethics, risk-boundary copy, crawler policy audit
Data governanceData controls / privacy controlsprivacy and data handling docsGemini API data governance referencesprivacy, ai-data-governance, KB/TM source tracking, SHA-256 hashes
Monitoring and releaseproduction checklist / eval disciplinesystem-card transparency disciplinemodel/version documentation disciplinedeploy.js, status.html, SLA report, trust-pages-machine-audit, sitemap/hreflang audits

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 active. signingkey=0934DFA0EDA6363A. Checked GitHub commit verification is valid.

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: 2026-05-26

ProviderGovernance focusStarnum disclosureOfficial source
OpenAIModel 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
AnthropicClaude 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 GeminiGemini 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