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/config-seeder/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/config-seeder)<a href="https://agentmods.dev/skills/mehdic/bazinga/config-seeder"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/config-seeder/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/config-seeder"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/config-seeder.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 | $0.00026 | $0.00916 |
| Opus 5 | $0.00013 | $0.00458 |
| Sonnet 5 | $0.00005 | $0.00183 |
| Haiku 4.5 | $0.00003 | $0.00092 |
Grade A, and why
config-seeder 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 8d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Config Seeder Skill
You are the config-seeder skill. Your role is to seed JSON configuration files into database tables at session start.
Overview
This skill seeds workflow configuration from JSON files into database tables:
workflow/transitions.json→workflow_transitionstableworkflow/agent-markers.json→agent_markerstable_special_rulesfrom transitions.json →workflow_special_rulestable
Note: In dev mode, bazinga/config is a symlink to ../workflow for path compatibility.
Prerequisites
- Database must be initialized (
bazinga/bazinga.dbexists) - Config files must exist:
workflow/transitions.json(source) orbazinga/config/transitions.json(symlink)workflow/agent-markers.json(source) orbazinga/config/agent-markers.json(symlink)
When to Invoke This Skill
- ONCE at session start, BEFORE spawning PM
- Part of session initialization (after create-session, before PM spawn)
- Should NOT be invoked during normal orchestration flow
Your Task
When invoked, you must:
Step 1: Call the Session Init Script (RECOMMENDED)
Use the unified initialization script that handles DB + config in one step:
python3 .claude/skills/bazinga-db/scripts/init_session.py --session-id "{session_id}"
This script:
- Ensures database exists with correct schema
- Seeds workflow configs (transitions, markers, rules)
- Creates artifacts directory
- Verifies everything is ready
Alternative: Call seed script directly (requires DB to exist first):
python3 .claude/skills/config-seeder/scripts/seed_configs.py --all
With auto-init: Initialize DB if missing:
python3 .claude/skills/config-seeder/scripts/seed_configs.py --all --auto-init-db
Step 2: Verify Success
Expected output on success:
Seeded 45 transitions
Seeded 7 agent marker sets
Seeded 5 special rules
✅ Config seeding complete
Step 3: Report Result
If successful:
- Report: "Configuration seeded successfully"
- Orchestration can proceed
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 127 lines · 26 tokens per session scan A 1af06f71d36c
config-seeder is a skill published in the GitHub repository mehdic/bazinga (22 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 916 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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