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-core/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-core)<a href="https://agentmods.dev/skills/mehdic/bazinga/bazinga-db-core"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/bazinga-db-core/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-core"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/bazinga-db-core.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 | $0.00028 | $0.01252 |
| Opus 5.5 | $0.00011 | $0.00501 |
| Sonnet 5.5 | $0.00006 | $0.00250 |
| Haiku 4.5 | $0.00003 | $0.00125 |
Grade A, and why
bazinga-db-core 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 2mo 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BAZINGA-DB Core Skill
You are the bazinga-db-core skill. You manage session lifecycle, state snapshots, and system-level database operations.
When to Invoke This Skill
Invoke when:
- Creating or retrieving orchestration sessions
- Saving/restoring orchestrator or PM state
- Getting dashboard snapshots for status reporting
- Running custom SELECT queries
- Checking database integrity or recovering
Do NOT invoke when:
- Managing task groups or plans → Use
bazinga-db-workflow - Logging interactions or reasoning → Use
bazinga-db-agents - 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
create-session
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet create-session \
"<session_id>" "<mode>" "<user_request>"
Creates a new orchestration session.
Parameters:
session_id: Unique identifier (e.g.,bazinga_abc123)mode:simpleorparalleluser_request: Original user request text
Returns: {"session_id": "...", "status": "active", "mode": "..."}
get-session
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet get-session "<session_id>"
Returns: Full session object with all fields.
list-sessions
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet list-sessions [limit]
Parameters:
limit: Optional, defaults to 10
Returns: Array of recent sessions ordered by created_at DESC.
update-session-status
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet update-session-status \
"<session_id>" "<status>"
Valid status values: active, paused, completed, failed, cancelled
save-state
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet save-state \
"<session_id>" "<state_type>" '<json_state>' [--group-id <id>]
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.
- 2mo ago First seen · 183 lines · 28 tokens per session scan A 6c3df7df7eb4
bazinga-db-core is a skill published in the GitHub repository mehdic/bazinga (22 stars, last pushed 9mo ago), licensed MIT. It adds 28 tokens to every session and 1,252 once invoked, about $0.0001 per session on Opus 5.5. 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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