agent-ql

agent-ql is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 0 tokens per session (888 once invoked), scanned A, original, MIT.

A service for asking questions about data in ordinary language instead of writing database or API code. It provides access to AgentQL data such as sessions and documents.

In plain words
What is it for?
Use it to query AgentQL sessions, documents, and other available data, and to work with the listed AgentQL records.
Why use it?
It reduces the need to learn each data source’s query format or write custom integration code. Plain-language requests can make data lookups easier to automate.

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/withoneai/one-agent-plugin/agent-ql
Any agent
npx skills add withoneai/one-agent-plugin --skill agent-ql
Clone the repo
git clone --depth 1 https://github.com/withoneai/one-agent-plugin

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 agent-ql

README.md
[![agentmods](https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/agent-ql.svg)](https://agentmods.dev/skills/withoneai/one-agent-plugin/agent-ql)
Your own site
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/agent-ql"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/agent-ql.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 888 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 $0.00000 $0.00888
Opus 5 $0.00000 $0.00444
Sonnet 5 $0.00000 $0.00178
Haiku 4.5 $0.00000 $0.00089

Measured 3d ago against content hash 768475412a45, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-ql 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.

platforms/one-agent-ql/skills/agent-ql/SKILL.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.

AgentQL through One

AgentQL is a natural language interface that allows users to query their data using plain English, enabling seamless interaction with databases and APIs without writing traditional code.

One exposes AgentQL through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

  1. Find the action in the table below, or call search_one_platform_actions with platform agent-ql if it is not listed.
  2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
  3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm AgentQL is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.

Before a write

Creates, updates, deletes and sends land on a real AgentQL account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.

Actions

TetraSessions

Action Method Path Action id
Create a Remote Browser Session (Tetra) POST /tetra/sessions conn_mod_def::GJz-HqqVNkE::Vr2wilN_SSOciw7fSwpvHA

Agentql

Action Method Path Action id
Query Structured Data from a Web Page POST /query-data conn_mod_def::GJz-HzVh4F8::WmoqhFUxQpWtkqLpLf2W9g

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 · 0 tokens per session scan A 768475412a45

Subscribe to this mod's changes

agent-ql is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 888 tokens. 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.