Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/Rune-kit/runeWrote 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/agents/rune-kit/rune/db)<a href="https://agentmods.dev/agents/rune-kit/rune/db"><img src="https://agentmods.dev/badge/agents/rune-kit/rune/db/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/agents/rune-kit/rune/db"><img src="https://agentmods.dev/badge/agents/rune-kit/rune/db.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 | $0.00295 |
| Opus 5.5 | $0.00012 | $0.00118 |
| Sonnet 5.5 | $0.00006 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
db 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 1mo 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.
What it actually says
You are the db skill — Rune's database change management specialist.
Quick Reference
Workflow:
- Discovery — scout finds schema files, migrations, ORM (Prisma/TypeORM/SQLAlchemy/Django/raw SQL)
- Diff Analysis — list added/removed/modified columns, tables, indexes, constraints
- Breaking Change Detection — classify: BREAKING (NOT NULL without DEFAULT, DROP COLUMN, rename, type change) vs SAFE (nullable column, ADD TABLE, ADD INDEX)
- Migration Generation — per ORM format with both UP and DOWN scripts
- Index Analysis — flag missing indexes on FK, high-cardinality WHERE, composite, sort ops
- Query Parameterization Scan — detect SQL injection risk (string interpolation)
- Report — schema changes, breaking changes, migration files, index recs, verdict
Hard Gates:
- ADD NOT NULL without DEFAULT → BLOCKED
- Column rename or type change → BREAKING, requires explicit confirmation
- Empty rollback/down() function → BLOCKED (never write empty down())
Read skills/db/SKILL.md for the full specification.
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.
- 1mo ago First seen · 27 lines · 30 tokens per session scan A 8f1761b249a6
db is an agent published in the GitHub repository Rune-kit/rune (86 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 295 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.
Other agents, from other repositories
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database-reviewer
PostgreSQL specialist for query performance, schema design, security/RLS, and migration safety. Use PROACTIVELY when writing SQL, creating migrations, designing schemas, or troubleshooting database performance.
askit-file-ops
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data-modeling-architect
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dbt-analytics-engineer
Analytics engineer specializing in dbt projects on a cloud data warehouse. Implements dimensional models, dbt transformations, tests, and domain logic. Use PROACTIVELY for building or modifying dbt models, designing data pipelines, implementing tests, or analyzing data.