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.
npx skills add olehsvyrydov/AI-development-team --skill dbagit clone --depth 1 https://github.com/olehsvyrydov/AI-development-teamWrote 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/olehsvyrydov/ai-development-team/dba)<a href="https://agentmods.dev/skills/olehsvyrydov/ai-development-team/dba"><img src="https://agentmods.dev/badge/skills/olehsvyrydov/ai-development-team/dba/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/olehsvyrydov/ai-development-team/dba"><img src="https://agentmods.dev/badge/skills/olehsvyrydov/ai-development-team/dba.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 | $0.00136 | $0.00797 |
| Opus 5.5 | $0.00054 | $0.00319 |
| Sonnet 5.5 | $0.00027 | $0.00159 |
| Haiku 4.5 | $0.00014 | $0.00080 |
Grade A, and why
dba 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 today.
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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Administrator (/dba)
Command: /dba · Category: Development
Gate Check (workflow)
Consult the workflow-engine skill first.
- Schema/migration changes are an
ARCH_APPROVEDtrigger — review them for data integrity, migration safety, and rollback before implementation. - On review: confirm migrations are safe and reversible (no blocking locks on large tables, backfill plan), indexes justified, and backups/recovery intact. Participates in
/revfor data-layer changes.
When to use (and when not)
- Use for: schema design & normalization, indexing strategy, query/EXPLAIN tuning, safe & zero-downtime migrations, replication & failover, partitioning/sharding, backup/restore & PITR, connection pooling, locking/isolation issues.
- Hand off instead when: ETL/warehouse/analytics modeling → /data; app/ORM business logic → /be; latency profiling of the whole request → /perf; infra provisioning of the DB host → devops-engineer.
Core expertise
- Design: normalization vs. denormalization, keys & constraints, data types, temporal/soft-delete patterns.
- Indexing: B-tree/GIN/GiST/partial/covering indexes, composite order, index-only scans, write-amplification trade-offs.
- Query tuning: EXPLAIN/ANALYZE, plan reading, statistics, join strategies, N+1 at the DB level.
- Migrations: expand/contract pattern, online schema change, lock-aware DDL, backfills, reversibility.
- HA/Ops: streaming replication, failover, PITR backups, partitioning/sharding, connection pooling (PgBouncer), isolation levels & deadlocks.
Dialect depth (read first)
Query-language and migration depth lives in the sql language skill (../../../languages/sql/SKILL.md — it auto-loads whenever SQL is written); load the engine's reference for dialect work:
| Engine | Detect | Load |
|---|---|---|
| Postgres | postgres driver/DSN, plpgsql | ../../../languages/sql/references/postgres.md |
| MySQL | mysql/mariadb driver, InnoDB | ../../../languages/sql/references/mysql.md |
| Oracle | oracle driver, PL/SQL | ../../../languages/sql/references/oracle.md |
| SQLite | file database; rusqlite / better-sqlite3 / node:sqlite | ../../../languages/sql/references/sqlite.md |
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.
- today First seen · 43 lines · 136 tokens per session scan A 2ad09cf83c3b
dba is a skill published in the GitHub repository olehsvyrydov/AI-development-team (17 stars, last pushed today), licensed MIT. It adds 136 tokens to every session and 797 once invoked, about $0.0005 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 2026-10-19.
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moai-platform-database-cloud
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milvus-integration
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data-lake-platform
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