이용 정책
Acceptable Use Policy 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 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.
본 정책은 starnum.com.tw 플랫폼의 모든 명리 콘텐츠(자미두수·생명영수)와 풀이 해설 서비스의 합리적 이용 범위를 규정합니다. 본 플랫폼 이용은 본 정책에 동의함을 의미합니다.
1. 명리 콘텐츠의 성격
본 사이트의 모든 명리 콘텐츠는 문화적 자기 탐색 도구로서 성격 경향·에너지 특성·인생 주제에 대한 참고 관점을 제공합니다. 다음의 것이 아닙니다:
- 의료 진단, 치료 권고 또는 대체 요법
- 법률 자문 또는 금융 투자 자문
- 정신 건강 치료 또는 상담
- 과학적으로 검증 가능한 예측 시스템
2. 허용되는 이용 범위
- 개인 성격 탐색과 자기 이해
- 대인 관계 이해(가족·우정·업무 파트너)
- 진로 성향과 재능 탐색의 보조 참고
- 문화 연구 및 학술 인용(출처 명시 요망)
- 오락 목적의 명리 리딩
- 자격을 갖춘 상담사와 병행하는 보조 도구
- 교육 목적(전통 동양 술수 문화 학습)
3. 금지되는 이용
3.1 절대 금지(플랫폼이 즉시 삭제 또는 차단 조치)
- 범죄 예측：명리 정보로 타인의 범죄 성향이나 도덕성을 예측·단정하는 행위
- 차별적 이용：명반이나 영수를 근거로 고용·주거·대출 등에서 개인을 차별하는 행위
- 타인 조작：명리 해석으로 공포·불안·심리적 조작을 일으키는 행위
- 명예훼손·공격：실존 인물(공인 포함)의 명반을 해석하여 공격 수단으로 쓰는 행위
- 미성년자：보호자 동의 없이 만 13세 미만 아동에게 개인 명리 분석을 제공하는 행위
- 미신적 협박："반드시 흉사가 일어난다" "즉시 운명을 바꾸어야 한다" 같은 협박성 표현 사용
- 사기 목적：본 사이트 콘텐츠를 금전 사기, 영적 치유 판매, 허위 주장에 이용하는 행위
3.2 각별한 주의가 필요(이용자 책임)
- 결혼·투자·수술 등 중대한 인생 결정에서 명리 결과에 과도하게 의존하는 것
- 명리 해석을 이유로 전문 의료 지원 요청을 거부하는 것
- 본인 동의 없이 타인의 명반 정보를 유포하는 것
4. AI 보조 생성 콘텐츠 이용 규범
본 사이트 일부 풀이는 AI 보조로 생성되고 사람이 검토합니다. 이런 AI 보조 명리 콘텐츠를 인용·공유할 때 다음에 유의하십시오:
- 사실 진술이 아닌 명리 문화 참고임을 명확히 표시할 것
- 인간 명리사의 개인적 조언인 것처럼 사칭하지 말 것
- 인용 시 원 출처(starnum.com.tw)를 명시할 것
5. 집행
본 사이트는 본 정책을 위반한 이용자에게 다음 조치를 취할 권리를 보유합니다:
- 위반 콘텐츠 삭제
- 서비스 접근 제한 또는 종료
- 필요 시 법적 조사 협조
6. 정책 업데이트
본 정책은 서비스 발전에 따라 업데이트될 수 있습니다. 중대한 변경은 @mychenan에 공지하고 페이지 상단의 버전 날짜를 갱신합니다.
7. 문의
본 정책에 관한 문의는 Instagram @mychenan으로 연락 주십시오.
외부 표준 및 1차 자료
다음 1차 자료는 이 페이지의 판단 기준입니다. 비교 기준일 뿐 제3자가 이 사이트를 보증한다는 뜻은 아닙니다.
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/public-claim-registry.jsondata/ai-answer-readiness-audit.jsondata/state-machine/trust-pages.json- Related governance pages: Privacy Policy · Ethics Statement · AI Safety · FAQ
- 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.acceptable-use.risk-boundary-coverage Acceptable-use risk-boundary coverage |
{"articles":7976,"aiAnswerReady":7976,"riskBoundaryArticles":2239,"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/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 |