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 ajitpratap0/GoSQLX --skill sql-analysisgit clone --depth 1 https://github.com/ajitpratap0/GoSQLXWrote 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/ajitpratap0/gosqlx/sql-analysis)<a href="https://agentmods.dev/skills/ajitpratap0/gosqlx/sql-analysis"><img src="https://agentmods.dev/badge/skills/ajitpratap0/gosqlx/sql-analysis/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/ajitpratap0/gosqlx/sql-analysis"><img src="https://agentmods.dev/badge/skills/ajitpratap0/gosqlx/sql-analysis.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 | $0.00073 | $0.00677 |
| Opus 5.5 | $0.00029 | $0.00271 |
| Sonnet 5.5 | $0.00015 | $0.00135 |
| Haiku 4.5 | $0.00007 | $0.00068 |
Grade A, and why
sql-analysis 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 yesterday.
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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SQL analysis with GoSQLX
Input: $ARGUMENTS - a SQL string, or a path to a .sql file (read the file first). If nothing was given, use the SQL in the current conversation or ask for it.
Steps
- Call
analyze_sql(MCP servergosqlx, toolmcp__plugin_gosqlx_gosqlx__analyze_sql) with{"sql": "<the SQL>"}. It runs validate, parse, metadata, security, lint and format concurrently and returns one report with those six sections. - If the user names a dialect, also call
validate_sqlwithdialectset (see thesql-dialectsskill for valid values), becauseanalyze_sqlvalidates with the generic parser. - For a large multi-statement file, it is fine to analyze statement by statement.
Report back
- Verdict: valid or not. For a parse error, quote the error and point at the line/column.
- What it does: statement types and the tables, columns and functions it touches (from the parse and metadata sections).
- Security: each finding with severity (CRITICAL/HIGH/MEDIUM/LOW) and pattern. A clean scan means no known injection pattern was found, not that the calling code is safe - see
sql-security-review. - Style: lint violations (rules L001-L010) grouped by rule, with the suggested fix.
- Formatted SQL: show the formatted version only when it differs meaningfully.
- Recommendations: a short prioritized list. Add your own judgment (missing indexes,
NOT INwith NULLs, unboundedDELETE/UPDATE,SELECT *) and label it as your judgment, not GoSQLX output.
Fallback when the MCP tools are unavailable
If the gosqlx MCP server is not connected, use the local CLI via Bash (install: go install github.com/ajitpratap0/GoSQLX/cmd/gosqlx@latest):
gosqlx validate path/to/query.sql # or: echo "SELECT ..." | gosqlx validate
gosqlx analyze --all path/to/query.sql # security, performance and complexity report
gosqlx analyze "SELECT * FROM users" # inline SQL
Never execute the SQL against a database as part of the analysis.
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.
- yesterday First seen · 38 lines · 73 tokens per session scan A 1338393edc9a
sql-analysis is a skill published in the GitHub repository ajitpratap0/GoSQLX (120 stars, last pushed today), licensed Apache-2.0. It adds 73 tokens to every session and 677 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 2026-10-22.
Other skills, from other repositories
gograph
Go repository intelligence for Claude Code. Use when reading, navigating, editing, reviewing, or refactoring a Go codebase. Exposes 64 query, analysis, and workflow capabilities through the local gograph MCP server, including bounded first-call exploration, AST-aware call graphs, blast-radius analysis, impact, and…
squix
Run SQL queries across databases (Postgres, MySQL, SQLite, etc.) via the squix CLI. Use for running named queries, exploring schema, or parameterized queries. Always use -f for non-interactive output.
golang-samber-hot
In-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply when using or adopting samber/hot, when the codebase imports…
golang-database
Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use when writing, reviewing, or debugging Golang code that interacts with PostgreSQL…
sq
Guides use of the sq CLI to query SQL databases and tabular files with SLQ (sq's jq-like query language) or native SQL, manage sources, choose output formats, and run inspect, diff, and table commands. Use when the user mentions sq, SLQ, wrangling CSV/Excel/JSON/DB data, cross-source joins, or command-line data…
homebutler
Tells an agent what changed on a server since it last looked - plus status, Docker, backups, Proxmox. Every tool is classed read, write or destructive, so an agent can tell a look from a change before it makes the call.