[052] Publish privacy policy for local processing and data flows

[konard]

Summary

• Publishes PRIVACY.md with explicit current and planned data-flow coverage for Telegram, proxy connectivity, Teleton Agent, cloud processing, settings synchronization, and TON.
• Documents local-by-default behavior, explicit cloud opt-in, agent controls, transaction approval boundaries, and same-PR policy maintenance requirements.
• Adds a regression test that keeps the issue [052] Publish privacy policy for local processing and data flows #25 privacy-policy acceptance criteria covered.

Issue

Fixes #25

Tests

• node --test test/privacy-policy.test.mjs
• npm test
• npm run validate:secrets
• npm run validate:foundation
• npm run validate:release
• npm run decompose:dry-run

Risk

• Documentation-only runtime risk. Privacy-sensitive documentation still requires human maintainer review before release.

Screenshots or recordings

Not applicable.

Security and privacy

• This PR does not include secrets, production credentials, access tokens, Telegram API hashes, private keys, or private message content.
• Any logs, screenshots, or fixtures are redacted.
• Security-sensitive changes request human maintainer review before release.

[konard]

Solution summary

Implemented and pushed to PR 123: #123

Updated PRIVACY.md from draft to a published policy covering Telegram, proxy, agent, cloud, settings sync, and TON data flows, plus policy maintenance and human review requirements. Added test/privacy-policy.test.mjs to lock the issue #25 acceptance criteria.

Validation passed:

• node --test test/privacy-policy.test.mjs
• npm test
• npm run validate:secrets
• npm run validate:foundation
• npm run validate:release
• npm run decompose:dry-run

PR is marked ready for review, latest CI on SHA 27d4909 is passing, and the working tree is clean.

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This summary was automatically extracted from the AI working session output.

[konard]

🤖 Solution Draft Log

This log file contains the complete execution trace of the AI solution draft process.

💰 Cost estimation:

• Model: GPT-5.5
• Provider: OpenAI
• Public pricing estimate: $5.081711

📊 Context and tokens usage:

• 2.9M / 1.1M (273%) input tokens, 13.9K / 128K (11%) output tokens

Total: (176.5K + 2.7M cached) input tokens, 13.9K output tokens, $5.081711 cost

🤖 Models used:

• Tool: OpenAI Codex
• Requested: gpt-5.5
• Model: GPT-5.5 (gpt-5.5)

📎 Log file uploaded as Gist (17331KB)

• View complete solution draft log

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Now working session is ended, feel free to review and add any feedback on the solution draft.

[konard]

✅ Ready to merge

This pull request is now ready to be merged:

• All CI checks have passed
• No merge conflicts
• No pending changes

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