Borrowing it
Nothing to install: this file belongs to PageAI-Pro/ralph-loop. 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/PageAI-Pro/ralph-loop/main/.agent/skills/mysql/SKILL.mdgit clone --depth 1 https://github.com/PageAI-Pro/ralph-loopWrote 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/pageai-pro/ralph-loop/mysql)<a href="https://agentmods.dev/skills/pageai-pro/ralph-loop/mysql"><img src="https://agentmods.dev/badge/skills/pageai-pro/ralph-loop/mysql/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/pageai-pro/ralph-loop/mysql"><img src="https://agentmods.dev/badge/skills/pageai-pro/ralph-loop/mysql.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 | $0.00060 | $0.01192 |
| Opus 5.5 | $0.00024 | $0.00477 |
| Sonnet 5.5 | $0.00012 | $0.00238 |
| Haiku 4.5 | $0.00006 | $0.00119 |
Grade A, and why
mysql 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.
This is a copy
97% identical to mysql — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MySQL
Use this skill to make safe, measurable MySQL/InnoDB changes.
Workflow
- Define workload and constraints (read/write mix, latency target, data volume, MySQL version, hosting platform).
- Read only the relevant reference files linked in each section below.
- Propose the smallest change that can solve the problem, including trade-offs.
- Validate with evidence (
EXPLAIN,EXPLAIN ANALYZE, lock/connection metrics, and production-safe rollout steps). - For production changes, include rollback and post-deploy verification.
Schema Design
- Prefer narrow, monotonic PKs (
BIGINT UNSIGNED AUTO_INCREMENT) for write-heavy OLTP tables. - Avoid random UUID values as clustered PKs; if external IDs are required, keep UUID in a secondary unique column.
- Always
utf8mb4/utf8mb4_0900_ai_ci. PreferNOT NULL,DATETIMEoverTIMESTAMP. - Lookup tables over
ENUM. Normalize to 3NF; denormalize only for measured hot paths.
References:
Indexing
- Composite order: equality first, then range/sort (leftmost prefix rule).
- Range predicates stop index usage for subsequent columns.
- Secondary indexes include PK implicitly. Prefix indexes for long strings.
- Audit via
performance_schema— drop indexes withcount_read = 0.
References:
What ships with it
18 files 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.
- references/character-sets.md 2.3 KB
- references/composite-indexes.md 2.7 KB
- references/connection-management.md 4.0 KB
- references/covering-indexes.md 2.0 KB
- references/data-types.md 2.3 KB
- references/deadlocks.md 3.3 KB
- references/explain-analysis.md 2.8 KB
- references/fulltext-indexes.md 1.6 KB
- references/index-maintenance.md 3.7 KB
- references/isolation-levels.md 3.2 KB
- references/json-column-patterns.md 3.1 KB
- references/n-plus-one.md 2.9 KB
- references/online-ddl.md 2.5 KB
- references/partitioning.md 3.5 KB
- references/primary-keys.md 3.5 KB
- references/query-optimization-pitfalls.md 3.8 KB
- references/replication-lag.md 2.8 KB
- references/row-locking-gotchas.md 3.1 KB
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 · 82 lines · 60 tokens per session scan A a04ba234fd79
mysql is a skill published in the GitHub repository PageAI-Pro/ralph-loop (328 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 1,192 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to mysql, differing in 2 lines, and is treated as a copy.
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