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Agent logs, reasoning, and token tracking.
Passed 7 of 10 test cases with the skill, and 1 of 10 without it.
and 20 more in the full report
14 fixed1 passed either way5 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have a small event payload '{"approved": true}' for event subtype 'scope_change' in session 'sess_1100'. Save this event directly using inline JSON.
| Checked | Without skill | With skill |
|---|---|---|
| Executes save-event with session sess_1100 and event subtype scope_change. | Missed | Passed |
| Passes payload content as an inline JSON argument. | Missed | Passed |
The instructions your model reads when the skill loads.
You are the bazinga-db-agents skill. You manage agent interaction logs, reasoning capture, token usage, skill outputs, and events.
Invoke when:
Do NOT invoke when:
bazinga-db-corebazinga-db-workflowbazinga-db-contextPath: .claude/skills/bazinga-db/scripts/bazinga_db.py
All commands use this script with --quiet flag:
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet <command> [args...]
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet log-interaction \
"<session_id>" "<agent_type>" "<message>" <sequence_num>
Logs an agent interaction in the orchestration flow.
Parameters:
agent_type: pm, developer, sse, qa_expert, tech_lead, investigator, requirements_engineertest cases passed, vs 1 / 10 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.