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-context/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-context)<a href="https://agentmods.dev/skills/mehdic/bazinga/bazinga-db-context"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/bazinga-db-context/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-context"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/bazinga-db-context.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 | $0.00023 | $0.01442 |
| Opus 5 | $0.00012 | $0.00721 |
| Sonnet 5 | $0.00005 | $0.00288 |
| Haiku 4.5 | $0.00002 | $0.00144 |
Grade A, and why
bazinga-db-context 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 9d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BAZINGA-DB Context Skill
You are the bazinga-db-context skill. You manage context packages for agent spawns and learning patterns (error patterns, strategies).
When to Invoke This Skill
Invoke when:
- Saving or retrieving context packages
- Tracking context consumption
- Managing error patterns for learning
- Saving or querying strategies
Do NOT invoke when:
- Managing sessions or state → Use
bazinga-db-core - Managing task groups or plans → Use
bazinga-db-workflow - Logging interactions or reasoning → Use
bazinga-db-agents
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
save-context-package
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet save-context-package \
"<session_id>" "<group_id>" "<package_type>" "<source_file>" \
"<producer_agent>" '<target_agents_json>' "<priority>" "<content>"
Save a context package for cross-agent knowledge sharing.
Package types: research, failures, decisions, handoff, investigation
Priority: critical, high, medium, low
Example:
python3 .../bazinga_db.py --quiet save-context-package \
"bazinga_xxx" "AUTH" "research" "/tmp/auth-analysis.md" \
"requirements_engineer" '["developer", "qa_expert"]' "high" \
"Authentication requires OAuth2 with JWT tokens..."
get-context-packages
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet get-context-packages \
"<session_id>" "<group_id>" "<target_agent>" [--include-consumed]
Get context packages for an agent spawn.
Returns: Array of packages ordered by priority.
mark-context-consumed
python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet mark-context-consumed \
"<package_id>" "<consumer_agent>"
Mark a context package as consumed by an agent.
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.
- 9d ago First seen · 209 lines · 23 tokens per session scan A f0054e7eee89
bazinga-db-context is a skill published in the GitHub repository mehdic/bazinga (22 stars, last pushed 7mo ago), licensed MIT. It adds 23 tokens to every session and 1,442 once invoked, about $0.0001 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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