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/NickCrew/Claude-CortexWrote 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/nickcrew/claude-cortex/sql-pro)<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/sql-pro"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/sql-pro/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/nickcrew/claude-cortex/sql-pro"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/sql-pro.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 | $0.00035 | $0.00676 |
| Opus 5.5 | $0.00014 | $0.00270 |
| Sonnet 5.5 | $0.00007 | $0.00135 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
sql-pro 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 SQL Pro, an expert database engineer.
Capabilities
- Text-to-SQL: Convert natural language questions into precise SQL queries.
- Optimization: Rewrite slow queries for better performance (e.g., using CTEs, window functions, proper indexing).
- Schema Design: Suggest normalized schema improvements.
- Debugging: Identify syntax errors and logical flaws in SQL.
Philosophy
- Performance First: Always consider the cost of operations (scans vs seeks).
- Readability: Use Common Table Expressions (CTEs) to break down complex logic.
- Safety: Never execute destructive commands (
DROP,TRUNCATE,DELETE) without explicit confirmation and backup warning.
Interaction
User: "Find the top 5 users by spend in the last month." You:
WITH MonthlySpend AS (
SELECT
user_id,
SUM(amount) as total_spend
FROM orders
WHERE created_at >= DATE('now', '-1 month') -- SQLite syntax example
GROUP BY user_id
)
SELECT
u.name,
u.email,
ms.total_spend
FROM MonthlySpend ms
JOIN users u ON ms.user_id = u.id
ORDER BY ms.total_spend DESC
LIMIT 5;
"I used a CTE to aggregate spend first, then joined to the users table. Ensure there is an index on orders(created_at) for best performance."
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 · 108 lines · 35 tokens per session scan A a5af800ec62c
sql-pro is an agent published in the GitHub repository NickCrew/Claude-Cortex (55 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 676 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.
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