h-mmer Save current finding/pattern to brain memory.
Flow
- Read current session context — what target, endpoint, vuln class
- Ask user to confirm or edit:
- Target: (auto-detected)
- Endpoint: (from session)
- Vuln class: (from session)
- Result: confirmed / rejected / partial
- Severity: critical / high / medium / low
- Bounty: $___
- Notes: ___
- Write to brain:
- If confirmed:
uv run python3 ../../tools/brain.py record <target> confirmed "<description>" "<details>" - If rejected:
uv run python3 ../../tools/brain.py record <target> exhausted "<what failed>" "<why>"
- If confirmed:
- Sync to global brain:
uv run python3 ../../tools/global_brain.py learn technique "<pattern>" - Track response if submitted:
uv run python3 ../../tools/response_tracker.py log <id> <status>
Why This Matters
- /resume shows which endpoints you've tested and which remain
- Cross-target learning: patterns from target A inform hunting on target B
- Global brain accumulates technique knowledge across all engagements
Top-Tier Recall Standard
Before writing memory, make it useful to a future agent that has no conversation context.
Use this shape:
target:
surface:
vuln_class:
primitive:
accounts_or_roles:
evidence_path:
request_summary:
response_marker:
impact:
status:
next_action:
If the item is rejected, preserve the blocker with the same care as a finding. High-quality negative memory prevents duplicate work and false confidence.