queryshield CLAUDE.md

queryshield CLAUDE.md is an instructions file for coding agents from bch1212/queryshield. It costs 745 tokens per session, scanned A, original, MIT.

A set of Claude Code instructions for QueryShield, a service that lets AI agents query customer databases through a controlled SQL gateway. It covers the system design, safety rules, pricing limits, and development structure.

In plain words
What is it for?
Use it when changing QueryShield's query handling, database security, credentials, logs, caching, API, or MCP server.
Why use it?
It gives the coding agent the project context needed to work consistently on database access, security, auditing, caching, and billing.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/bch1212/queryshield/claude-md
Clone the repo
git clone --depth 1 https://github.com/bch1212/queryshield

Wrote 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.

agentmods badge for queryshield CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/bch1212/queryshield/claude-md.svg)](https://agentmods.dev/instructions/bch1212/queryshield/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/bch1212/queryshield/claude-md"><img src="https://agentmods.dev/badge/instructions/bch1212/queryshield/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 745 This file is loaded in full into every session.
When invoked 745 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00745 $0.00745
Opus 5 $0.00373 $0.00373
Sonnet 5 $0.00149 $0.00149
Haiku 4.5 $0.00075 $0.00075

Measured 3d ago against content hash b9cf9f19be49, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

queryshield CLAUDE.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 3d 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.

CLAUDE.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QueryShield — Claude Code Context

What this is

Secure SQL proxy between AI agents and customer databases. Agents POST to /v1/query in NL or structured SQL. QueryShield validates → translates → applies row-level security → executes → audits. Agents never see connection strings.

Architecture

  • proxy.py — engine. Every query flows through execute_query().
  • safety.py — sqlglot AST validator. Never use keyword filtering.
  • rls.py — AST-level WHERE injection + schema/table whitelists. Never string concat.
  • vault.py — Fernet-encrypted credential store, in our internal Postgres. Replaces AWS Secrets Manager from the original spec (Brett's stack uses Railway, no AWS).
  • nl_to_sql.py — Claude tool_use loop with get_schema + validate_query tools. Prompt caching on system + schema.
  • schema.py — DB introspection with two-tier cache (in-process + Redis).
  • cache.py — result cache. Redis if REDIS_URL, else in-process dict.
  • audit.py — append-only metadata log. Never log row contents.
  • billing.py — Stripe-backed quotas. 30-day rolling reset.
  • mcp_server.py — FastMCP wrapper, distribution channel for agent frameworks.
  • main.py — FastAPI app and HTTP surface.
  • start.py — Railway entrypoint. Reads PORT via os.getenv (Railway exec's startCommand without a shell, so $PORT doesn't expand).

Critical rules

  • NEVER allow non-SELECT — safety.py blocks at the AST level.
  • NEVER log query result rows — audit table holds metadata only.
  • NEVER return raw connection strings in any API response.
  • VAULT_KEY rotation = re-encrypt every row under the new key. Losing the key means losing access to every registered DB.
  • Customer DB credentials should be read-only at the source. Defense in depth — even if safety + RLS were bypassed, the DB would refuse writes.

Pricing tiers (models.TIER_LIMITS)

  • Starter: $500/mo · 3 DBs · 1M queries/mo
  • Pro: $1,500/mo · 10 DBs · 10M queries/mo · audit export
  • Enterprise: $3,500/mo · unlimited · SSO, SIEM webhook

Read the full file on GitHub · 63 lines

Changes

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.

  1. 3d ago First seen · 63 lines · 745 tokens per session scan A b9cf9f19be49

Subscribe to this mod's changes

queryshield CLAUDE.md is an instructions file published in the GitHub repository bch1212/queryshield (1 stars, last pushed 21d ago), licensed MIT. It adds 745 tokens to every session, about $0.0037 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 2026-08-31.