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Signallayer Backlinks Client

Community
kennyzir
signallayer-backlinks-client

使用 SignalLayer.io 的真实 OpenClaw API 创建、查询和分页管理外链 Campaign。适用于用户要求配置 SignalLayer API Key、查询积分、创建外链任务、查看任务状态或列出 Campaign;客户端未指定数量时默认 200,但服务端 linkCount 始终必填。

Overview

Publisherkennyzir
Repository7deer_skills
Skill namesignallayer-backlinks-client
Stars
329
Forks
143
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kennyzir on GitHub. Read the source before you install it.

Installation

Install the Signallayer Backlinks Client AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kennyzir/7deer_skills/tree/main/signallayer-backlinks-client
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kennyzir/7deer_skills.git /tmp/7deer_skills
mkdir -p .claude/skills
cp -r /tmp/7deer_skills/signallayer-backlinks-client .claude/skills/signallayer-backlinks-client
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Signallayer Backlinks Client in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Signallayer Backlinks Client on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Signallayer Backlinks Client is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SignalLayer Backlinks Client

安全规则

  1. 优先从 SIGNALLAYER_API_KEY 环境变量读取 Key。
  2. 不在回复、日志或 Campaign 历史中回显完整 Key。
  3. 仅在用户明确选择兼容模式时,才保存到 memory/signallayer-api-user.md;提醒这是明文文件且不得提交 Git。
  4. 配置后必须调用 GET /credits 真实验证。仅检查 sl_ 前缀不算验证成功。

API 契约

Base URL:https://signallayer.io/api/openclaw

操作方法与路径
查询积分 / 验证 KeyGET /credits
创建POST /create-campaign
查询单个任务GET /campaign-status/{id}
查询任务列表GET /campaigns?limit=20&offset=0

认证 Header:Authorization: Bearer <USER_API_KEY>。

创建流程

  1. 获取 API Key 并调用 /credits。
  2. 从用户请求提取参数:
    • targetUrl:必填。
    • brandName:API 必填;用户未提供时,可从目标 hostname 生成候选值并明确告知用户。
    • linkCount:API 必填;用户未指定时客户端使用 200。
    • keywords:可选,默认空字符串。
    • strategy:safety(默认)、neutral、aggressive。
    • speed:natural(默认)、standard、drip。
    • dripDays:drip 时为 10–30,默认 14。
  3. 调用:
http
POST https://signallayer.io/api/openclaw/create-campaign
Authorization: Bearer <USER_API_KEY>
Content-Type: application/json

{
  "targetUrl": "https://example.com",
  "brandName": "Example",
  "keywords": "seo,marketing",
  "linkCount": 200,
  "strategy": "safety",
  "speed": "natural",
  "dripDays": 14,
  "source": "openclaw-skill"
}
  1. 创建成功必须按 HTTP 201 和 success: true 判断。Campaign ID 位于 campaign.id。
  2. 只记录非敏感 Campaign 元数据。

状态与列表

状态响应的进度位于:

json
{
  "campaign": {
    "progress": {
      "total": 200,
      "completed": 85,
      "pending": 115,
      "percent": 43
    }
  }
}

不要读取不存在的顶层 completed、total、campaign_id、updatedAt 或预计完成时间。

列表接口默认返回 20 条,limit 最大为 100。它是 Campaign 分页数量,与每个 Campaign 的外链数量无关。

计费与速度

  • 当前计费:1 条外链 = 1 积分。
  • aggressive 不按 1.5 倍扣积分。
  • API 不支持 instant,不得发送或向用户推荐该值。
  • natural/standard 进入正常 Agent 队列;drip 生成 10–30 天的日期排期。
  • API 不返回 SLA 或预计完成日期,不要自行承诺。

错误处理

读取 HTTP 状态和 JSON 中的 code、error、可选 field:

  • 400:参数或 Campaign ID 格式错误。
  • 401:Key 缺失或无效。
  • 402:积分不足。
  • 404:任务不存在或不属于当前 Key。
  • 500:服务端创建、列表或状态查询失败。

遇到 HTML 响应时,优先检查是否误用了 api.signallayer.io/v1 或 /campaigns/{id} 等旧路径。

独立客户端

优先使用仓库脚本,避免手写漂移的请求:

bash
python scripts/signallayer_client.py --credits
python scripts/signallayer_client.py --target "https://example.com" --brand "Example"
python scripts/signallayer_client.py --status "campaign_uuid"
python scripts/signallayer_client.py --list

完整契约见 references/api.md,排查流程见 OPERATION-GUIDE.md。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Signallayer Backlinks Client AI skill do?

使用 SignalLayer.io 的真实 OpenClaw API 创建、查询和分页管理外链 Campaign。适用于用户要求配置 SignalLayer API Key、查询积分、创建外链任务、查看任务状态或列出 Campaign;客户端未指定数量时默认 200,但服务端 linkCount 始终必填。

Why use Signallayer Backlinks Client on TypingMind?

Because you install it once and use it with any model. Signallayer Backlinks Client is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Signallayer Backlinks Client in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kennyzir/7deer_skills/tree/main/signallayer-backlinks-client. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Signallayer Backlinks Client?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Signallayer Backlinks Client?

As many as you like. As long as a model supports skills, you can use Signallayer Backlinks Client with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Signallayer Backlinks Client AI skill free?

Yes. It is published on GitHub by kennyzir under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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