This repository uses lightweight governance intended to help reduce misuse risk without turning a lab environment into a heavy compliance program.
- Use the repository for learning, testing, research, proof-of-concept work, and internal experimentation.
- Keep a human in the loop for analysis, reporting, and operational decisions.
- Prefer demo, synthetic, anonymized, or redacted data.
- Avoid overstating what the software, the models, or the MIT license do.
- Escalate before production, customer-facing, or commercial use.
Maintainers should:
- keep user-facing disclaimers practical and visible
- avoid language that implies certification, legal approval, or guaranteed compliance
- keep setup defaults demo-friendly where practical
- document known limitations and data-handling risks
- maintain a private path for vulnerability reporting
- review contributions that expand scope toward production or regulated uses
Before merging a change, contributors should check:
- does this change encourage production use without proper caveats?
- does this change add or expose secrets, personal data, customer data, or sensitive artifacts?
- does this change introduce a new third-party model, dataset, package, or service that needs provenance or license review?
- does this change create new claims about safety, compliance, accuracy, or legal effect?
- does this change affect reports or prompts in a way that should add transparency or human-review language?
- Do not commit real credentials or access tokens.
- Do not intentionally place personal data or customer data into tracked files, issues, screenshots, or demo artifacts.
- If realistic samples are needed, prefer synthetic data or irreversible redaction.
- Treat generated reports as potentially sensitive when they summarize environments, incidents, or policies.
- Make clear when a report or answer contains AI-generated analysis.
- Do not present generated analysis as a substitute for legal, security, or production approval.
- Use transparency language when outputs could be mistaken for authoritative conclusions.
- For operational recommendations, require human validation before execution.
Pause and require explicit maintainer review if a change would:
- add hosted or managed service behavior
- market the repo as production-ready
- integrate real personal data or customer environments by default
- target a use case that could affect rights, safety, or regulated operations
- add contractual, security, or compliance claims
Lightweight governance is no longer enough if the repository moves toward:
- customer delivery
- commercial distribution
- production deployment
- regulated or safety-critical use
- automated decision support with material impact
At that point, start a separate legal, privacy, and security review workstream.