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web-research-agent网络研究 Agent

Agent Skill

web-research-agent 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:web-research-agent(网络研究 Agent)
来源仓库:https://github.com/emcraig51/web-research-agent
安装命令:
openclaw skills install web-research-agent
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install web-research-agent

简介

使用 OpenClaw 中的 OpenMarlin 来回答问题、运行任务以及管理 OpenMarlin 帐户设置和计费流程。

SKILL.md

name
openmarlin
description
Use OpenMarlin from OpenClaw to answer questions, run tasks, and manage OpenMarlin account setup and billing flows.
metadata
{"openclaw":{"skillKey":"openmarlin","requires":{"bins":["python3"]},"primaryEnv":"OPENMARLIN_PLATFORM_API_KEY"}}

OpenMarlin

Use this skill when a user explicitly wants to use OpenMarlin from inside OpenClaw.

This skill covers four main jobs:

  • account registration and API key bootstrap
  • native execution requests through /v1/executions
  • asynchronous long-running jobs through /v1/tasks
  • billing, balance, and 402 Payment Required recovery

When To Activate

Activate this skill for requests such as:

  • "use openmarlin to answer this"
  • "ask openmarlin to summarize this page"
  • "use openmarlin to find today's USD/CNY exchange rate"
  • "use openmarlin to execute this task"
  • "use openmarlin to generate a video"
  • "use openmarlin to submit an async video task"
  • "register OpenMarlin"
  • "check OpenMarlin balance"

When routing the request:

  • treat "use openmarlin ..." as an OpenMarlin intent, not generic chat
  • prefer /v1/executions for normal tasks such as answering, searching,

summarizing, extracting, or translating

  • prefer /v1/tasks for video generation and other artifact-oriented jobs even

when the user did not explicitly say "async"

  • treat requests mentioning video, rendering, long-running generation, or

background execution as /v1/tasks by default unless the user explicitly asks for synchronous execution

  • do not reject activation just because the user did not provide an exact model

ref in the first sentence

Core Constraints

  • Keep the flow OpenClaw-first by default.
  • Do not collect passwords, magic links, MFA secrets, or raw credentials in

chat.

  • Prefer the device auth flow unless the deployment specifically requires

workos_callback.

  • Treat browser use as a narrow external step for identity or Stripe checkout,

not the main control plane.

  • After browser handoff begins, keep polling the registration session in

OpenClaw until it becomes completed or expired.

  • Treat browser callback or landing pages as user-facing only. Machine-readable

registration state must come from the registration session.

  • Treat OPENMARLIN_SERVER_URL as the only trusted API origin and keep it as a

bare origin without /v1.

  • Do not use https://openmarlin.ai as OPENMARLIN_SERVER_URL; that is the

browser-facing website. Use https://api.openmarlin.ai unless the user is targeting a custom deployment.

  • Use server-provided handoff.authorization_url directly. Do not reconstruct

WorkOS or browser URLs locally.

  • Store platform API keys in OpenClaw auth-profile storage when available, not

in ordinary skill config.

  • Treat OPENMARLIN_PLATFORM_API_KEY as a temporary override for debugging,

not the preferred steady-state storage path.

  • When balance information is incomplete, label local billing state as

last-known or estimated instead of pretending it is authoritative.

Installation

This skill is distributed as a directory, not as a standalone Markdown file. If you install it manually, copy both SKILL.md and the sibling scripts/ directory.

Required files:

  • SKILL.md
  • scripts/registration_session.py
  • scripts/platform_request.py
  • scripts/billing.py
  • scripts/openclaw_billing_state.py
  • scripts/openclaw_platform_auth.py
  • scripts/openclaw_skill_config.py

Runtime expectations:

  • python3 is available in PATH
  • OPENMARLIN_SERVER_URL defaults to https://api.openmarlin.ai
  • OPENMARLIN_SERVER_URL must be a bare origin, not a URL ending in /v1

First Run

For a new user, the shortest safe path is:

  1. Confirm OPENMARLIN_SERVER_URL if you need to override the default.
  2. Start registration with python3 scripts/registration_session.py create.
  3. Complete external auth in the browser if the server returns a handoff URL.
  4. Poll the registration session with watch until it becomes completed.
  5. Bootstrap and store the first workspace API key with bootstrap --store.
  6. Optionally call python3 scripts/platform_request.py models.
  7. Send the first execution request.

After setup, the most common next actions are:

  • send a routed execution request
  • submit a long-running task and poll for completion
  • inspect available models
  • recover from a 402 Payment Required response
  • inspect balance or recent billing activity
  • fetch the caller's referral code and invite link

Request Model

Registration

Registration flows are built on:

  • POST /v1/registration/sessions
  • GET /v1/registration/sessions/:sessionId
  • POST /v1/registration/sessions/:sessionId/api-keys

Registration session states:

  • pending_external_auth
  • completed
  • expired

When a session completes, OpenClaw should continue from the machine-readable registration session state, not from browser callback output.

Executions

Native execution uses:

  • POST /v1/executions

Execution requests may include:

  • instruction
  • kind = agent_run
  • stream
  • provider_id
  • labels
  • agent_id
  • session_key
  • timeout_ms
  • model
  • metadata

Execution routing rules:

  • with neither model nor provider_id, let the server choose both
  • with only model, use an exact full ref and let the server choose a provider
  • with only provider_id, let the server choose an eligible model on that

provider

  • with both model and provider_id, the server enforces both constraints

If model is provided, it must be an exact full ref such as openai-codex/gpt-5.4.

If you provide both provider_id and model, first confirm from python3 scripts/platform_request.py models that the provider advertises that same exact model ref.

Tasks

Long-running jobs use:

  • POST /v1/tasks
  • GET /v1/tasks/:taskId

Task requests do not use the same routing shape as /v1/executions.

Task requests use:

  • kind = video
  • input.prompt required
  • input.media_urls optional
  • input.media_ids optional
  • input.duration_ms optional
  • input.aspect_ratio optional
  • metadata optional

Task requests do not accept:

  • instruction
  • provider_id
  • labels
  • model
  • stream

Prefer /v1/tasks when:

  • generation may take many minutes
  • stream output is absent or not useful
  • the real result is expected to arrive later as artifact metadata such as an

artifact_url

  • the request is for video generation, unless the user explicitly insists on a

synchronous execution path

  • when using /v1/tasks from inside OpenClaw, default to submitting with

watch-and-wait behavior instead of stopping after returning a task_id

Task states:

  • queued
  • running
  • succeeded
  • failed

Billing

Billing and recovery flows use:

  • GET /v1/balance
  • GET /v1/usage-events
  • GET /v1/ledger
  • POST /v1/topup/sessions
  • GET /v1/topup/sessions/:sessionId

Structured balance failures may return:

  • error_code = insufficient_balance
  • message
  • workspace_id
  • current_balance.amount / unit
  • required_balance.amount / unit

Treat that 402 shape as workflow input, not a generic transport failure.

Common Commands

Registration

Create a registration session:

python3 scripts/registration_session.py create

Create a callback-style session when the deployment requires it:

python3 scripts/registration_session.py create --auth-flow workos_callback

Check or poll a registration session:

python3 scripts/registration_session.py status --session-id <session-id>
python3 scripts/registration_session.py watch --session-id <session-id>

Bootstrap and store the first API key:

python3 scripts/registration_session.py bootstrap \
  --session-id <session-id> \
  --store

Executions

List currently available exact models:

python3 scripts/platform_request.py models

Let the server choose model and provider automatically:

python3 scripts/platform_request.py executions \
  --body-json '{"instruction":"say hello"}'

Use an exact model ref with automatic provider routing:

python3 scripts/platform_request.py executions \
  --body-json '{"instruction":"say hello","model":"openai-codex/gpt-5.4"}'

Use an explicit provider override:

python3 scripts/platform_request.py executions \
  --provider node-a \
  --body-json '{"instruction":"say hello"}'

Send a dry run:

python3 scripts/platform_request.py executions \
  --dry-run \
  --server-url https://your-server.example.com \
  --api-key claw_wsk_placeholder \
  --body-json '{"instruction":"say hello"}'

Use streaming execution:

python3 scripts/platform_request.py executions \
  --body-json '{"instruction":"say hello","stream":true}'

Tasks

Submit a long-running job:

python3 scripts/platform_request.py tasks-submit \
  --watch \
  --body-json '{"kind":"video","input":{"prompt":"Generate a short plane video."}}'

Fetch the current task state:

python3 scripts/platform_request.py tasks-status --task-id <task-id>

Poll until the task succeeds or fails:

python3 scripts/platform_request.py tasks-watch --task-id <task-id>

Billing

Explain a structured 402 response:

python3 scripts/billing.py explain-402 \
  --response-json '{"error_code":"insufficient_balance","message":"Workspace balance is insufficient for this request.","workspace_id":"ws_123","current_balance":{"amount":0,"unit":"credits"},"required_balance":{"amount":1,"unit":"credits"}}'

Create a top-up session from the 402 shortfall:

python3 scripts/billing.py create-topup \
  --response-json '{"error_code":"insufficient_balance","message":"Workspace balance is insufficient for this request.","workspace_id":"ws_123","current_balance":{"amount":0,"unit":"credits"},"required_balance":{"amount":1,"unit":"credits"}}'

Check top-up progress:

python3 scripts/billing.py status --session-id <topup-session-id>
python3 scripts/billing.py watch --session-id <topup-session-id>

Show current balance:

python3 scripts/billing.py balance --workspace-id <workspace-id>

Show recent billing activity:

python3 scripts/billing.py activity

Fetch the caller's referral code, invite link, and attribution summary:

python3 scripts/billing.py referral-link

Operational Guidance

Routing Failures

Translate common routing errors into plain language:

  • provider_unavailable: the selected provider is not currently connected
  • provider_label_mismatch: the selected provider does not satisfy the

requested routing hints

  • execution_provider_not_found: no eligible execution provider matched the

current request

  • execution_provider_ambiguous: more than one execution provider matched and

the server needs narrower labels or an explicit provider override

  • execution_kind_not_available: the selected provider does not support the

requested execution kind

  • task_executor_not_found: no configured task executor matched the current

long-running task request

  • invalid_routing_labels: labels were malformed

When these happen:

  • restate the provider and labels you actually sent
  • suggest retrying with different labels, a different provider, or automatic

routing

  • do not invent hidden labels or undocumented routing fields

For /v1/tasks specifically:

  • do not suggest provider overrides, labels, or model routing as a recovery

path

  • suggest validating kind = video and the input payload shape instead

For long-running jobs:

  • prefer tasks-submit --watch over asking the user to manually follow up with

tasks-watch

  • for video-generation requests, treat tasks-submit --watch as the default

completion path unless the user explicitly asks for fire-and-forget behavior

  • acknowledge acceptance as soon as a task_id is returned
  • keep polling until the task reaches a terminal state or times out; do not

require the user to ask again just to continue watching the same task

  • surface final output and metadata when the task reaches succeeded

Balance And Recovery

When the server returns a structured 402 insufficient_balance response:

  • show the current balance, required balance, and shortfall explicitly
  • explain that this is a recoverable billing state
  • keep the recovery flow inside OpenClaw until the required Stripe checkout

step

  • prefer authoritative GET /v1/balance reads when available
  • keep local billing snapshots only as supporting context

When guiding a top-up flow:

  • create the top-up session inside OpenClaw
  • show the difference between pending_payment, credit_applied, and

payment_failed

  • tell the user that opening the Stripe checkout_url is the only required

external billing step

  • refresh balance after credit lands

Credential Handling

The returned secret from API key bootstrap is the steady-state platform credential for OpenClaw.

  • prefer OpenClaw auth profiles over plain repo files or ordinary config
  • store the key in the default OpenClaw auth profile when --store is used
  • avoid echoing raw secrets unless the active command explicitly returns them
  • when reporting success, show where the key was stored or loaded from
  • never ask the user to paste a platform API key into chat as the normal

registration path

  • if openmarlin.ai appears blocked by browser or Cloudflare protection,

verify that helpers are targeting https://api.openmarlin.ai before suggesting manual browser actions

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.09%
按下载量换算489

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敏感数据

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安装前确认

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