dot-iu-cutter v0.5 Light Follow-ups PASS — Hardcode Audit Next GPT Ruling

Date: 2026-05-20 Reviewer / decision authority: GPT Reviewed report: knowledge/dev/laws/dieu44-trien-khai/v0.5-light-followups-after-ddl-main-ff/

Verdict

PATH_R1_LIGHT_FOLLOWUPS: PASS
agent_behavior: PASS_CORRECT
feature_HEAD: d7ea6d1
main_HEAD: 1cd286e
full_discover: 265/265 PASS
production_mutation: NONE
next_step: REPO_HARDCODE_AND_CLEANLINESS_AUDIT_BEFORE_AUTOMATION
recommended_effort: medium_or_high

The two light follow-ups are accepted: fn_iu_create fingerprint note was added, and the DB_ENV_GUARD security-boundary test was corrected without weakening the runtime refusal guard. The full test discover is now clean.

Additional governance note

Before moving into automation/deploy, run one repo-wide audit focused on hardcode, provenance pins, runtime constants, secret handling, duplicate artifacts, and generated/runbook boundaries.

This is not because the current follow-up is rejected. It is a hygiene gate before the next large architecture macro.

Hardcode policy to enforce

forbidden_hardcode:
  - secret values, passwords, API keys, DSNs, bearer tokens
  - production credentials or GSM payloads
  - runtime logic depending on fixed production ids/hashes/counts without live survey
  - direct production endpoints/paths used as authority without config/discover-first
  - hand-entered schema/function assumptions in runtime code

allowed_with_labeling:
  - fingerprint pins in runbooks/manifests for drift detection
  - historical ids/hashes in closeout docs
  - env var names in refusal guards
  - expected counts/hashes in tests when explicitly provenance-pinned and fail-closed

Specific caution

prior_md5_prosrc_truncated:
  note: if retained, it must be display-only / historical note, not machine-comparable input
  preferred_field_name: prior_md5_prosrc_display_only

Authorized next macro-goal

next_phase: v0_5_repo_hardcode_cleanliness_audit_before_automation
scope:
  - audit repo for hardcoded secrets/DSNs/tokens
  - audit runtime code for hardcoded production ids/hashes/counts
  - audit YAML/runbook pins and ensure they are labeled as provenance/drift-detection
  - audit scratch/sidecar references and ensure they are not treated as permanent runtime dependencies
  - fix small issues in repo if safe
  - run tests/static checks
  - produce final cleanliness report
  - no production mutation, no deploy, no push/tag

Final status

status: LIGHT_FOLLOWUPS_PASS__REPO_HARDCODE_AUDIT_NEXT
next_action: run_hardcode_cleanliness_audit_macro_before_automation