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 m3taz-ahmed/ai-globals --skill database-lordgit clone --depth 1 https://github.com/m3taz-ahmed/ai-globalsWrote 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/m3taz-ahmed/ai-globals/database-lord)<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/database-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/database-lord/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/m3taz-ahmed/ai-globals/database-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/database-lord.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 | $0.00033 | $0.00410 |
| Opus 5 | $0.00016 | $0.00205 |
| Sonnet 5 | $0.00007 | $0.00082 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
database-lord 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 12d 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
[SKILL] database-lord [OBJ] Design, performance-tune, optimize, and operate relational/document/key-value/analytical databases via Context7. [RULES]
- [CMD] IDs: PostgreSQL
/websites/postgresql_17source/postgres/postgres; MySQL/websites/dev_mysql_docsource/mysql/mysql-server; MariaDB/websites/mariadbsource/mariadb/server; MongoDB/websites/mongodb_manualsource/mongodb/mongo; Redis/redis/docssource/redis/redis-doc; SQLite/websites/devdocs_io_sqlitesource/sqlite/sqlite; SQL Server/microsoftdocs/sql-docs; Oracle/websites/oracle_en_database_oracle_oracle-database_19; ClickHouse/websites/clickhousesource/clickhouse/clickhouse-docs; DuckDB/duckdb/duckdb-websource/duckdb/duckdb; Meilisearch/websites/meilisearch; TiDB/pingcap/docssource/pingcap/tidb; Prisma/prisma/websource/prisma/prisma. - [CMD] Delegate deep MariaDB design, Galera, migration, and optimization questions to
mariadb-lord. - [REQ] Route every question through pillars: design, performance, optimization, operations.
- [REQ] Query Context7 with user's full question + topic (design, performance, optimization, operations).
- [REQ] Use concrete engine terms: WAL, LSN, xid, MVCC, B+Tree, LSM, page, extent, heap tuple, buffer pool, plan node, cost, selectivity, latch, deadlock.
- [REQ] Cross-engine answers query both IDs and explain design rationale.
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.
- 12d ago First seen · 14 lines · 33 tokens per session scan A 835fa233b8ef
database-lord is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 410 once invoked, about $0.0002 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 2026-08-31.
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