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 agentmods add instructions/tobymao/sqlglot/agents-mdgit clone --depth 1 https://github.com/tobymao/sqlglotWhat 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 | $0.04258 | $0.04258 |
| Opus 5 | $0.02129 | $0.02129 |
| Sonnet 5 | $0.00852 | $0.00852 |
| Haiku 4.5 | $0.00426 | $0.00426 |
Grade A, and why
sqlglot AGENTS.md 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 2d 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 — 522 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contributing to SQLGlot
About SQLGlot
SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine written in pure Python. It supports 31+ SQL dialects and can transpile between them while preserving semantics. The codebase is performance-critical despite being pure Python, with an optional mypyc-compiled C extension for speed improvements (sqlglotc/).
Development Commands
Before contributing read CONTRIBUTING.md
Installation
# Basic installation
make install
# Development installation (Python only, no C extension)
make install-dev
# Development installation with mypyc C extension
make install-devc
# Install pre-commit hooks
make install-pre-commit
# With uv (faster):
UV=1 make install-dev
Testing
# Run all tests (pure Python, hides .so files during run)
make test
# Run all tests with mypyc C extension (builds extension first)
make testc
# Run only unit tests (skip integration tests, pure Python)
make unit
# Run only unit tests with C extension
make unitc
# Run specific test file
python -m unittest tests.test_expressions
# Run specific test class
python -m unittest tests.test_expressions.TestExpressions
# Run specific test method
python -m unittest tests.test_expressions.TestExpressions.test_alias
Linting & Type Checking
# Run linter and formatter only
make style
# Run full checks (style + pure Python tests + C extension tests)
make check
Benchmarks
# Run parsing benchmark
make bench
# Run optimization benchmark
make bench-optimize
Architecture Overview
SQLGlot follows a classic compiler architecture with three main phases:
1. Tokenizer (tokens.py)
- Converts SQL strings into a sequence of tokens (lexical analysis)
- Pure Python implementation in
tokens.py; core logic intokenizer_core.py(mypyc-compiled when using[c]extra) - Maps lexemes to
TokenTypeenum values viaKEYWORDSandSINGLE_TOKENSdictionaries - Dialects can override tokenizer behavior by customizing these mappings
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.
- 2d ago First seen · 522 lines · 4,258 tokens per session scan A dace0d5e531b
sqlglot AGENTS.md is an instructions file published in the GitHub repository tobymao/sqlglot (9,579 stars, last pushed 4d ago), licensed MIT. It adds 4,258 tokens to every session, about $0.0213 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 2026-08-30.
Other instructions, from other repositories
chdb AGENTS.md
Instructions for chdb-io/chdb, covering agents.md — chdb, 1. fully lazy execution architecture, 2. natural execution triggering (explicit calls prohibited), 3. unified architecture, simplicity first and 4. testing principles.
sql2json AGENTS.md
Instructions for fsistemas/sql2json, covering using sql2json with ai agents and llms, install & upgrade (for agents), or, strategy for agents and discovery — orient before querying.
database-operations-mcp AGENTS.md
Instructions for sandraschi/database-operations-mcp, covering database-operations-mcp — agent guide, entry points, standards, key files and quick ref.
sql2json CLAUDE.md
Instructions for fsistemas/sql2json, covering claude.md, read this first, commands, install dependencies and run all tests (fast, in-memory sqlite — no docker).
database-operations-mcp CLAUDE.md
Instructions for sandraschi/database-operations-mcp, covering database-operations-mcp — claude code guide, entry points, standards and key files.
boyce CLAUDE.md
Claude Code instructions for boyce-io/boyce, covering claude.md, role, session protocol, model tiering and master planning document.