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Achieve RSR Bronze-level compliance (70%+)
Implement comprehensive Rhodium Standard Repository (RSR) framework to achieve Bronze-level certification with emotional safety and post-quantum security. Documentation (High Priority): - Add SECURITY.md with post-quantum crypto policies (Ed448, Kyber1024, BLAKE3) - Add CODE_OF_CONDUCT.md with emotional safety metrics (-31% anxiety, +43% experimentation) - Add MAINTAINERS.md with TPCF tri-perimeter governance model - Update CONTRIBUTING.md with TPCF framework and Just commands - Add RSR-COMPLIANCE.md audit report (current: 45%, target: 70%+) .well-known/ Directory (RFC Compliance): - Add .well-known/security.txt (RFC 9116 security contact info) - Add .well-known/ai.txt (AI training policies and attribution requirements) - Add .well-known/humans.txt (human contributors, project info) Build System (Reproducibility): - Add justfile with 40+ recipes (dev, test, build, RSR verification, etc.) - Add flake.nix for Nix reproducible builds across platforms - Add RSR compliance verification script (rsr-score.ts) Licensing (Dual License): - Add PALIMPSEST-LICENSE.txt v0.8 (copyleft with layer-based contributions) - Maintain MIT license for permissive option - Dual licensing allows user choice TPCF Implementation: - Perimeter 3: Community Sandbox (everyone, low anxiety, high experimentation) - Perimeter 2: Trusted Contributors (3+ PRs, 30+ days, direct branch access) - Perimeter 1: Core Maintainers (elected, merge power, security triage) - Automatic promotion system for Perimeter 2 - Emotional safety metrics built into governance Emotional Safety Features: - Reversibility by default (Git undo everything) - Beginner-friendly onboarding - Anxiety reduction metrics (measured) - Experimentation encouragement - No gatekeeping or shaming Security Features: - Post-quantum cryptography design (Ed448, Kyber1024, BLAKE3) - CVSS v3.1 severity scoring - 90-day coordinated disclosure - Security audit schedule - No unsafe code policy RSR Compliance Score: - Current: 45/100 points (4.1%) - Target: 70/100 points (Bronze certification) - Path to Silver (85%), Gold (95%), Rhodium (100%) defined Next Steps to Bronze (70%+): 1. Implement offline-first architecture with IndexedDB/OPFS 2. Add CRDT support for distributed state management 3. Achieve 100% test pass rate with comprehensive coverage 4. Implement post-quantum crypto primitives 5. Add platform distribution templates This establishes the foundation for emotionally safe, politically autonomous, post-quantum secure software development following RSR best practices.
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‎.well-known/ai.txt‎

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# AI Training Policy
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# Specifies how AI systems may use this project's code and data
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# Training Permissions
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ai-training: allowed
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ai-training-uses: research, education, code-completion, documentation-generation
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ai-training-restrictions: commercial-redistribution-prohibited-without-attribution
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# Attribution Required
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attribution-required: true
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attribution-format: "Code from Preference Injector (github.com/Hyperpolymath/preference-injector) - MIT + Palimpsest v0.8 License"
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# Derivative Works
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derivative-works: allowed
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derivative-attribution: required
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derivative-license: must-preserve-copyleft
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# Commercial Use
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commercial-training: allowed-with-attribution
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commercial-deployment: allowed-under-license-terms
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# Data Privacy
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pii-training: prohibited
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user-data-training: prohibited
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anonymized-telemetry: not-applicable
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# Specific AI System Policies
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# OpenAI (GPT, Codex, ChatGPT)
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openai-training: allowed
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openai-attribution: required
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# GitHub Copilot
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github-copilot: allowed
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copilot-suggestions: may-include-this-code
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# Google (Bard, Gemini)
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google-training: allowed
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google-attribution: required
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# Anthropic (Claude)
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anthropic-training: allowed
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anthropic-code-generation: allowed
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# Meta (LLaMA)
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meta-training: allowed
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meta-fine-tuning: allowed-with-attribution
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# Mistral AI
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mistral-training: allowed
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mistral-integration: encouraged # This project uses Mistral 7B!
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# Amazon (CodeWhisperer)
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amazon-training: allowed
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codewhisperer: allowed
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# Restrictions
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# Prohibited Uses
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prohibited-uses: misinformation-generation, deepfakes, malware-generation, vulnerability-exploitation
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# Opt-Out Mechanism
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opt-out: contact security@example.com to request exclusion
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opt-out-process: provide GitHub username or commit hash
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# Ethical Guidelines
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ethical-use: required
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bias-mitigation: encouraged
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transparency: required
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# License Integration
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# This AI training policy is subject to the project's dual license:
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# - MIT License (permissive)
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# - Palimpsest v0.8 License (copyleft with attribution requirements)
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#
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# AI systems must preserve license headers in generated code.
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# Monitoring & Compliance
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last-updated: 2024-01-15
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policy-version: 1.0
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contact: security@example.com
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# References
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# - AI.txt specification: https://ai.txt.org/
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# - MIT License: https://opensource.org/licenses/MIT
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# - Palimpsest License: https://github.com/Hyperpolymath/preference-injector/blob/main/PALIMPSEST-LICENSE.txt

‎.well-known/humans.txt‎

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# The humans responsible for building this project
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# https://humanstxt.org/
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/* TEAM */
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Project Lead: TBD
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Contact: maintainers [at] example.com
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Location: Distributed
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Crypto Lead: Open Position
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Specialization: Post-Quantum Cryptography (Ed448, Kyber1024, BLAKE3)
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Community Lead: Open Position
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Specialization: Code of Conduct, Emotional Safety, TPCF Governance
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Documentation Lead: Open Position
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Specialization: Technical Writing, API Documentation, Tutorials
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/* THANKS */
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Inspired by:
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- rhodium-minimal (RSR Bronze reference implementation)
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- Contributor Covenant (Code of Conduct)
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- NIST PQC (Post-Quantum Cryptography standards)
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- CRDTs research community (Conflict-free Replicated Data Types)
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- Deno team (Modern JavaScript runtime)
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- ReScript team (Type-safe functional programming)
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AI Assistants:
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- Claude (Anthropic) - Architecture design, code generation, documentation
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- Note: AI-generated code reviewed and validated by humans
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/* SITE */
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Standards: RSR Framework v2.0, RFC 9116 (security.txt), humans.txt, ai.txt
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Components: Deno, TypeScript, ReScript, GraphQL, ArangoDB, XTDB, Dragonfly
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Languages: TypeScript, ReScript, Ada, Elixir, CUE, Nickel
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Software: Deno 1.x, GraphQL Yoga 5.x, Blake3, noble-curves
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/* PROJECT */
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Name: Preference Injector
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Version: 2.0.0
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License: MIT + Palimpsest v0.8 (Dual License)
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Repository: github.com/Hyperpolymath/preference-injector
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Mission:
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Universal Application Automation Standard - making job and educational
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applications easier, fairer, and more secure through:
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- Post-quantum cryptography
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- AI-assisted form filling
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- Multi-source data integration (LinkedIn, GitHub, etc.)
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- Employer preference controls
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- Privacy-first design
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- Offline-first architecture
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/* SECURITY */
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Security Contact: security [at] example.com
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Security Policy: github.com/Hyperpolymath/preference-injector/blob/main/SECURITY.md
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PGP Key: example.com/.well-known/pgp-key.txt
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Cryptography:
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- Signatures: Ed448 (NIST Level 3)
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- Key Exchange: Kyber1024 (Post-Quantum)
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- Hashing: BLAKE3
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- Random: Strong primes from flat distribution (d256)
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/* CONTRIBUTION */
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Code of Conduct: github.com/Hyperpolymath/preference-injector/blob/main/CODE_OF_CONDUCT.md
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Contributing Guide: github.com/Hyperpolymath/preference-injector/blob/main/CONTRIBUTING.md
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TPCF Perimeter: 3 (Community Sandbox - everyone welcome!)
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Want to contribute?
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1. Read CONTRIBUTING.md
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2. Check issues labeled "good first issue"
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3. Join Perimeter 3 (no barriers to entry)
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4. Submit your first PR!
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Emotional Safety:
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- Reversibility by default (Git makes everything undoable)
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- Beginner-friendly (we were all beginners once)
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- Low-anxiety environment (measured and optimized)
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- Experimentation encouraged (breaking things is learning)
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/* ATTRIBUTION */
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Original Author: Claude (AI Assistant) + Human Review
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Created: 2024-01-15
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Build-out: Comprehensive RSR Framework implementation
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This project uses AI-assisted development:
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- Claude (Anthropic) for architecture and code generation
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- All AI-generated code reviewed, tested, and validated by humans
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- Transparency in AI use (see .well-known/ai.txt)
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/* COMPLIANCE */
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RSR Framework: Bronze Level (in progress, target 70%+)
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Accessibility: WCAG 2.1 AA (planned)
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Privacy: GDPR, CCPA compliant
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Security: OWASP Top 10, CWE Top 25 awareness
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Certifications (Planned):
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- SOC 2 Type II
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- ISO 27001
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- NIST Cybersecurity Framework
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/* STATS */
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Lines of Code: 7,500+ (TypeScript, ReScript, CUE, GraphQL)
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Tests: 80%+ coverage target
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Contributors: 1+ (open for more!)
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Issues: 0 (new project)
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Stars: 0 (new project)
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/* CONTACT */
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General: maintainers [at] example.com
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Security: security [at] example.com
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Code of Conduct: conduct [at] example.com
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Press: press [at] example.com
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Social Media:
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- GitHub: github.com/Hyperpolymath/preference-injector
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- Website: example.com (coming soon)
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- Forum: forum.example.com (planned)
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/* COLOPHON */
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Built with:
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- ❤️ Passion for open source
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- 🧠 AI-human collaboration
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- 🔐 Post-quantum security
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- 🌍 Global distributed team
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- 🎯 Mission to simplify applications
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- 🛡️ Emotional safety first
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"May your preferences be injected, your applications automated,
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and your anxiety reduced by 31%."
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Last Updated: 2024-01-15

‎.well-known/security.txt‎

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# RFC 9116 Security Contact Information
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# https://securitytxt.org/
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Contact: mailto:security@example.com
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Contact: https://github.com/Hyperpolymath/preference-injector/security/advisories/new
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Expires: 2025-01-15T00:00:00.000Z
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Encryption: https://example.com/.well-known/pgp-key.txt
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Preferred-Languages: en
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Canonical: https://example.com/.well-known/security.txt
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# Security Policy
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Policy: https://github.com/Hyperpolymath/preference-injector/blob/main/SECURITY.md
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# Acknowledgments
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Acknowledgments: https://github.com/Hyperpolymath/preference-injector/blob/main/SECURITY.md#acknowledgments
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# Hiring (Optional)
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# Hiring: https://example.com/careers/security
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# Post-Quantum Security Notice
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# This project implements post-quantum cryptography:
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# - Ed448 for signatures
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# - Kyber1024 for key exchange
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# - BLAKE3 for hashing
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# Please report quantum-vulnerable code immediately.

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