bright-data

bright-data is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 138 tokens per session (6,597 once invoked), scanned A, a copy of 2-chat, MIT.

A web data collection platform with proxy servers, browser-based scraping, search-result APIs, and managed data pipelines. Proxy servers make requests through different network addresses.

In plain words
What is it for?
Scraping websites, collecting search-result data, routing requests through proxy networks, and feeding structured data into other systems.
Why use it?
It helps collect web data when direct requests are blocked, limited, or difficult to scale.

Skill for Claude CodeCodex

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

Good fit Scraping websites, collecting search-result data, routing requests through proxy networks, and feeding structured data into other systems.

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Install with agentmods
npx agentmods add skills/withoneai/one-agent-plugin/bright-data
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.

Any agent
npx skills add withoneai/one-agent-plugin --skill bright-data
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 bright-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/bright-data/github.svg)](https://agentmods.dev/skills/withoneai/one-agent-plugin/bright-data)
Your own site
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/bright-data"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/bright-data/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bright-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/bright-data"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/bright-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 138 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,597 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 72% copy Near-identical to another mod 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 $0.00138 $0.06597
Opus 5 $0.00069 $0.03299
Sonnet 5 $0.00028 $0.01319
Haiku 4.5 $0.00014 $0.00660

Measured 5d ago against content hash ff3a65754328, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bright-data 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.

Origin

This is a copy

72% identical to 2-chat — 325 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

platforms/one-bright-data/skills/bright-data/SKILL.md · 402 lines

How it starts

The opening of the file, as written. The whole thing — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BrightData through One

Bright Data (formerly Luminati) is a comprehensive web data platform offering a global proxy network (residential, mobile, ISP, data center), browser-based scraping, SERP APIs, and managed data pipelines—empowering developers and businesses to collect structured and unblocked web data at scale for AI, BI, and insights.

One exposes BrightData 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 bright-data 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 BrightData 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 BrightData 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

Datasets

Action Method Path Action id
Get a Dataset’s Metadata GET /datasets/{{datasetId}}/metadata conn_mod_def::GJ0-sdifsI0::TOiyubNnR7yX07r82l6aLA
List Available Datasets GET /datasets/list conn_mod_def::GJ0-r52Lq6A::i-78lxSZQl-VOCwwanU00g
Receive Batch Data (Get a Dataset by ID) GET /dca/dataset conn_mod_def::GJ0-tKd3D-4::V5QEEYT8SG6X6InsVMdjiA
Deliver a Dataset Snapshot to Storage POST /datasets/v3/deliver/{{snapshotId}} conn_mod_def::GJ0-wDVuz4g::mM93upuARqKa5_RpzyoY7g
Filter a Dataset (BETA) (Create Snapshot by Filter) POST /datasets/filter conn_mod_def::GJ0-sXOsOgM::il38dZAnSrq5ss_VxYOOOg
Filter a Dataset (Create Snapshot from Filter; JSON or File Uploads) POST /datasets/filter conn_mod_def::GJ0-sQJ2sBA::PGK8IwONRiyUgWMOgjMXNA
Synchronous Dataset Scrape (Return Results in Response) POST /datasets/v3/scrape conn_mod_def::GJ0-yGobWYk::knz8Z-uDR7ufAOzsgA7iSQ
Trigger a Crawl API Dataset Collection Job POST /datasets/v3/trigger conn_mod_def::GJ0-v7n_CQM::T5Oh9083TiKk6uL-ZPQHsQ
Trigger a Web Scraping Collection (Asynchronous) POST /datasets/v3/trigger conn_mod_def::GJ0-vbhbxFw::sQeMlvBBQVuFZXbdPAA8Yg

Read the full file on GitHub · 402 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 · 402 lines · 0 tokens per session scan A ff3a65754328

Subscribe to this mod's changes

bright-data is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 19d ago), licensed MIT. It adds 138 tokens to every session and 6,597 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 72% identical to 2-chat, differing in 325 lines, and is treated as a copy.

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