Borrowing it
Nothing to install: this file belongs to mehdic/bazinga. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mehdic/bazinga/main/.claude/skills/bazinga-db-agents/SKILL.mdgit clone --depth 1 https://github.com/mehdic/bazingaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mehdic/bazinga/bazinga-db-agents)<a href="https://agentmods.dev/skills/mehdic/bazinga/bazinga-db-agents"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/bazinga-db-agents/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mehdic/bazinga/bazinga-db-agents"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/bazinga-db-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.02679 |
| Opus 5 | $0.00015 | $0.01340 |
| Sonnet 5 | $0.00006 | $0.00536 |
| Haiku 4.5 | $0.00003 | $0.00268 |
Grade A, and why
bazinga-db-agents scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BAZINGA-DB Agents Skill
You are the bazinga-db-agents skill. You manage agent interaction logs, reasoning capture, token usage, skill outputs, and events.
When to Invoke This Skill
Invoke when:
- Logging agent interactions
- Saving or retrieving agent reasoning
- Tracking token usage
- Recording skill outputs
- Saving or querying events (TL issues, verdicts, etc.)
Do NOT invoke when:
- Managing sessions or state → Use
bazinga-db-core - Managing task groups or plans → Use
bazinga-db-workflow - Managing context packages → Use
bazinga-db-context
Script Location
Path: .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...]
Commands
log-interaction
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_engineersequence_num: Integer for ordering
stream-logs
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet stream-logs \
"<session_id>" [limit] [offset]
Stream orchestration logs in markdown format. Always returns markdown (no format option).
Parameters:
limit: Maximum number of logs to return (default: 50)offset: Number of logs to skip (default: 0)
save-reasoning
# Recommended: Use --content-file to avoid exposing content in process table
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet save-reasoning \
"<session_id>" "<group_id>" "<agent_type>" "<phase>" \
--content-file /tmp/reasoning.txt [--confidence N] [--tokens N]
# Alternative: Inline content (avoid for sensitive data)
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet save-reasoning \
"<session_id>" "<group_id>" "<agent_type>" "<phase>" "<content>" \
[--confidence N] [--tokens N]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 322 lines · 30 tokens per session scan A 435b3f5ed079
bazinga-db-agents is a skill published in the GitHub repository mehdic/bazinga (22 stars, last pushed 7mo ago), licensed MIT. It adds 30 tokens to every session and 2,679 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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