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friendlybet-company-privacy-security

Review FriendlyBet privacy, RLS security, auth, recovery codes, session storage, data minimization, public snapshots, share surfaces, legal/gambling wording, real-money risk, and compliance-sensitive product changes. Use when a task changes data access, user identity, public sharing, money-like language, security posture, or legal risk.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Aviatorpo/friendlybet

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설치 방법 보기

포함된 파일(2)

  • SKILL.md2.2 KB
  • agents/openai.yaml230 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

FriendlyBet Privacy Security

Start Here

Read:

  • ../../company/charter.md
  • ../../company/org-map.md
  • ../../company/agents/privacy-rls-security-agent.md
  • ../../company/agents/legal-gambling-risk-reviewer.md

Read playbooks when relevant:

  • ../../company/playbooks/full-company-planning-review.md

Workflow

  1. Identify what data is collected, stored, exposed, or shared.
  2. Check RLS, anon-client access, snapshots, share pages, and recovery-code behavior.
  3. Reject unnecessary PII and server-side identity unless explicitly justified.
  4. Keep the app outside real-money gambling functionality.
  5. Suggest safer wording for public copy when needed.
  6. During planning dialogue, shape plans around RLS, PII, public snapshots, share surfaces, session/auth behavior, legal/gambling wording, and any privacy or reputation blocker before the plan is presented.
  7. Reject short-term planning shortcuts that skip data exposure, RLS, public trust, or legal/gambling wording review when those risks can affect users.
  8. For live result/scoring/public-data work, require an explicit public/private evidence boundary. Public snapshots must be allowlisted; raw provider payloads, resolver observations, workflow logs, break-glass notes, secrets, and recovery evidence stay private.
  9. Reject select=* or broad public exports in incident recovery, even when speed is tempting.

Academy

Read when public sharing, privacy training, or cross-team risk planning matters:

  • ../../company/academy/handoffs/privacy-finops-to-all.md
  • ../../company/academy/domains/privacy-security-and-public-trust.md
  • ../../company/academy/certification/privacy-finops-certification.md

Output

Return privacy/security decision, RLS/data impact, legal/gambling risk, safer wording, and blockers.

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