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 Mathews-Tom/armory --skill sql-optimizergit clone --depth 1 https://github.com/Mathews-Tom/armoryWrote 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/mathews-tom/armory/sql-optimizer)<a href="https://agentmods.dev/skills/mathews-tom/armory/sql-optimizer"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/sql-optimizer/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/mathews-tom/armory/sql-optimizer"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/sql-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 170 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00078 | $0.01888 |
| Opus 5.5 | $0.00031 | $0.00755 |
| Sonnet 5.5 | $0.00016 | $0.00378 |
| Haiku 4.5 | $0.00008 | $0.00189 |
Grade A, and why
sql-optimizer 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.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQL Optimizer
Systematic SQL performance analysis: parse query structure, interpret EXPLAIN plans, detect anti-patterns (N+1, full scans, cartesian joins), recommend indexes, and rewrite queries — with explanations of WHY each change improves performance, not just WHAT changed.
Reference Files
| File | Contents | Load When |
|---|---|---|
references/anti-patterns.md |
Common SQL anti-patterns with detection rules and fixes | Always |
references/index-strategies.md |
Index type selection, composite index ordering, covering indexes | Index recommendations needed |
references/explain-guide.md |
Reading EXPLAIN output for PostgreSQL, MySQL, SQLite | EXPLAIN plan provided |
references/join-optimization.md |
Join type selection, join order optimization, subquery-to-join conversion | Query contains joins or subqueries |
Prerequisites
- The SQL query to optimize
- Database engine (PostgreSQL, MySQL, SQLite) — optimization differs by engine
- Table schemas and approximate row counts (helpful but not required)
- EXPLAIN output (highly valuable when available)
Workflow
Phase 1: Query Analysis
Parse the SQL to understand its structure:
- Identify operations — SELECT columns, FROM tables, JOIN conditions, WHERE filters, GROUP BY, ORDER BY, HAVING, subqueries.
- Map table relationships — Which tables are joined? On what keys? Are there implicit cartesian products?
- Detect immediate red flags:
SELECT *— fetching unnecessary columns- Functions on indexed columns in WHERE — prevents index use
ORin WHERE — often prevents index use- Correlated subqueries — potential N+1
- Missing WHERE on DELETE/UPDATE — dangerous
What ships with it
5 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.
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 · 191 lines · 78 tokens per session scan A 77338978d5c6
sql-optimizer is a skill published in the GitHub repository Mathews-Tom/armory (334 stars, last pushed 2d ago), licensed MIT. It adds 78 tokens to every session and 1,888 once invoked, about $0.0003 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 2026-09-05.
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