babel-street

babel-street is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 0 tokens per session (3,670 once invoked), scanned A, original, MIT.

A connection to Babel Street, a platform for finding and analyzing multilingual public and enterprise information. It exposes Babel Street operations through tools used by coding agents.

In plain words
What is it for?
Searching Babel Street operations, reading their required schemas, and executing supported data-intelligence actions through connected tools.
Why use it?
It provides a defined process for discovering available operations and checking their exact input fields before running them. This reduces errors caused by guessing tool parameters.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/babel-street
Any agent
npx skills add withoneai/one-agent-plugin --skill babel-street
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 babel-street

README.md
[![agentmods](https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/babel-street.svg)](https://agentmods.dev/skills/withoneai/one-agent-plugin/babel-street)
Your own site
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/babel-street"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/babel-street.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 3,670 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 5.1 $0.00000 $0.03670
Opus 5 $0.00000 $0.01835
Sonnet 5 $0.00000 $0.00734
Haiku 4.5 $0.00000 $0.00367

Measured 5d ago against content hash 32a8f97d1b5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

babel-street 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 5d 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-babel-street/skills/babel-street/SKILL.md · 250 lines

How it starts

The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Babel Street through One

Babel Street is a data intelligence platform that provides multilingual data discovery, entity analysis, and risk insights from open-source and enterprise information, enabling analysts and security teams to investigate threats, monitor events, and support operational decision-making through integrated APIs and tools.

One exposes Babel Street 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 babel-street 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 Babel Street 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 Babel Street 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

SupportedLanguages

Action Method Path Action id
Get Supported Languages for Name Deduplication GET /rest/v1/name-deduplication/supported-languages conn_mod_def::GMAdpOKGFpI::uq8asC5eTemq_gdM8mx9eA
Supported Languages GET /rest/v1/language/supported-languages conn_mod_def::GMAdpFgR-cw::L3ShCTBNQMiHnQagEH3oSA
Supported Languages for Sentiment GET /rest/v1/sentiment/supported-languages conn_mod_def::GMAdp04nJkU::2EBc_j1JQt2WIIZ0Lsbxdg
Supported Languages for Transliteration GET /rest/v1/transliteration/supported-languages conn_mod_def::GMAdp8x7kU4::giwG1ic3REOyppHzQVyfhg
Supported Languages Using Entities Indoc Coref Server GET /rest/v1/entities/indoc-coref-server/supported-languages conn_mod_def::GMAdo4r2rwc::kNZB98LrTdmr5mXAIAg9BQ

Read the full file on GitHub · 250 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. 5d ago First seen · 250 lines · 0 tokens per session scan A 32a8f97d1b5a

Subscribe to this mod's changes

babel-street is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 16d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,670 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.

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