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Falsiflow Support

Falsiflow support is focused on helping users reproduce command behavior, understand ready/blocked reports, and adopt starter templates safely.

Before opening an issue, check docs/falsiflow_troubleshooting.md for the common recovery path for install failures, claim_check_blocked, doctor_blocked, template verification failures, release_blocked, and external_blocked.

Good Support Requests

Open an issue when you can share:

  • the exact command you ran
  • operating system and Python version
  • Falsiflow version or commit
  • the relevant claim_check.json, doctor_summary.json, external_readiness.json, or release_check.json
  • the repair_checklist, next_commands, or next_actions entry you followed
  • whether the issue uses bundled demo data or private evidence

Do not attach private lab data, credentials, proprietary vendor replies, or sensitive source files to public issues. Use sanitized fixtures or describe the shape of the evidence instead.

Where To Ask

  • Bugs: use .github/ISSUE_TEMPLATE/bug_report.yml.
  • Feature requests: use .github/ISSUE_TEMPLATE/feature_request.yml.
  • Claim-gate or template requests: use .github/ISSUE_TEMPLATE/claim_gate_request.yml.
  • Security issues: follow SECURITY.md.
  • Conduct issues: follow CODE_OF_CONDUCT.md.

What Maintainers Can Help With

  • reproducing CLI failures
  • interpreting blocked readiness reports
  • improving docs, templates, schemas, or release gates
  • triaging template supply-chain verification issues
  • identifying whether a request belongs in Falsiflow or in an ELN/LIMS, spreadsheet, CI suite, or workflow orchestrator

What Maintainers Cannot Provide

Maintainers cannot validate scientific truth, regulatory compliance, medical safety, commercial readiness, or private experimental conclusions. Falsiflow can audit supplied evidence against configured gates; independent expert review is still required for high-risk decisions.