- Add CANDIDATE_NAME and OPTIMIZER_PROFILE env vars to red-team.sh
(defaults to "unknown" for standalone runs)
- Update extract_memory Python: new fields candidate, optimizer_profile,
pattern (abstract op sequence via make_pattern()), and improved insight
extraction that also captures WHY explanations (because/since/due to)
- Update MEMORY_SECTION Python: entries now grouped by candidate;
universal patterns (DECREASED across multiple candidates) surfaced first
- Update prompt: add "Current Attack Target" table with candidate/profile,
optimizer parameter explanations (CI/AW/AS/DD behavioral impact),
Rule 9 requiring pattern+insight per strategy, updated report format
with Pattern/Insight fields and universal-pattern conclusion field
- Update red-team-sweep.sh: after inject, parse OptimizerV3Push3.sol for
r40/r39/r38/r37 constants to build OPTIMIZER_PROFILE string; pass
CANDIDATE_NAME and OPTIMIZER_PROFILE as env vars to red-team.sh
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
## What
- `tools/push3-transpiler/inject.sh` — shared transpile+inject logic used by both batch-eval and red-team-sweep
- `batch-eval.sh` — replaced inline 60-line Python block with `inject.sh` call
- `scripts/harb-evaluator/red-team-sweep.sh` — red-teams each kindergarten seed using existing `red-team.sh`, with random smoke test gate
## Why
Sweep script kept breaking because I rewrote the injection logic instead of reusing batch-eval's proven Python. Now there's one copy.
## Testing
- inject.sh tested manually on DO box with optimizer_v3 seed
- Smoke test picks random seed, injects + compiles before starting sweep
Co-authored-by: openhands <openhands@all-hands.dev>
Reviewed-on: https://codeberg.org/johba/harb/pulls/806
Reviewed-by: review_bot <review_bot@noreply.codeberg.org>
