okf-nl2sql

okf-nl2sql is a skill for Claude Code, Codex from doctormacky/okf-mcp. It costs 110 tokens per session (1,297 once invoked), scanned A, original, MIT.

A skill for answering business questions with read-only SQL, even when the user does not know the database structure or SQL dialect.

In plain words
What is it for?
Finding totals, trends, rankings, comparisons, and limited details from an OKF database.
Why use it?
It translates business wording into a grounded query and checks the result without requiring the user to name tables or columns.

Skill for Claude CodeCodex

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 skills/doctormacky/okf-mcp/okf-nl2sql
Any agent
npx skills add doctormacky/okf-mcp --skill okf-nl2sql
Clone the repo
git clone --depth 1 https://github.com/doctormacky/okf-mcp

Made for: Claude Code, Codex.

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 okf-nl2sql

README.md
[![agentmods](https://agentmods.dev/badge/skills/doctormacky/okf-mcp/okf-nl2sql.svg)](https://agentmods.dev/skills/doctormacky/okf-mcp/okf-nl2sql)
Your own site
<a href="https://agentmods.dev/skills/doctormacky/okf-mcp/okf-nl2sql"><img src="https://agentmods.dev/badge/skills/doctormacky/okf-mcp/okf-nl2sql.svg" alt="Measured on agentmods" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,297 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00110 $0.01297
Opus 5 $0.00055 $0.00648
Sonnet 5 $0.00022 $0.00259
Haiku 4.5 $0.00011 $0.00130

Measured 4d ago against content hash 0688e3519ce9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

okf-nl2sql 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 4d 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.

.agents/skills/okf-nl2sql/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Answer Business Questions With SQL

Use OKF knowledge first, then bounded database discovery only when the knowledge is insufficient. The user supplies business intent, not physical schema names.

Requirements

  • Discover the available MCP tools that expose list_bundles, search_concepts, and get_concept; use the fully qualified names provided by the current host. Do not assume an MCP server namespace.
  • Before the first CLI call, run command -v dbexplain and dbexplain --version; require v0.1.11 or newer. Report a missing capability without installing software.
  • Never read or edit database configuration, request credentials, construct a command-line DSN, use --sample, or write to the database or Bundle.
  • Keep SQL, query plans, physical identifiers, commands, and execution receipts internal. Never expose them in the final answer.

Workflow

Progress:

  • Frame the business intent
  • Retrieve and ground every required concept
  • Build and validate a query plan
  • Execute one read-only query
  • Verify and report the result

1. Frame Intent

Identify measure, entity, dimensions, time range, filters, and output grain. Ask only about business ambiguity that changes the answer. Never ask the user to choose a table, column, JOIN, dialect, or label.

2. Retrieve Evidence

Read retrieval-and-grounding.md when the first knowledge hit does not uniquely ground every required intent slot. Read full Concepts before using their bindings; compact search summaries are discovery results, not SQL evidence.

When a Saved Query matches the business intent, use its full Concept as mature SQL evidence while assembling the current query. It does not bypass Metrics, Policies, grain checks, parameter clarification, or final execution.

Prefer existing Bundle evidence. If required physical facts are absent or stale, read live-database-discovery.md. If no executable or semantic relationship exists and an inferred candidate is needed, read inferred-join-validation.md.

Read the full file on GitHub · 127 lines

Files

What ships with it

7 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.

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. 4d ago First seen · 127 lines · 110 tokens per session scan A 0688e3519ce9

Subscribe to this mod's changes

okf-nl2sql is a skill published in the GitHub repository doctormacky/okf-mcp (1 stars, last pushed today), licensed MIT. It adds 110 tokens to every session and 1,297 once invoked, about $0.0006 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.

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