Agent skill

Backlink Batch Expansion

by flaqai in flaqai/backlink_skills

Build and maintain a reusable backlink-submission candidate pool with global deduplication, fee and brand classification, configurable batch exports, and executor feedback.

MITAuto-check passedMarketing & SEO

Install Backlink Batch Expansion

skills CLI
$ npx skills add flaqai/backlink_skills --skill backlink-batch-expansion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install flaqai/backlink_skills backlink-batch-expansion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/flaqai/backlink_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'双线外链挖掘矩阵/skills/backlink-batch-expansion' .claude/skills/backlink-batch-expansion && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
backlink-batch-expansion
GitHub stars
752
Token cost
~757 tokens
SKILL.md length
94 words
Files
5 (incl. scripts, references, assets)
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

Build and maintain a reusable backlink-submission candidate pool with global deduplication, fee and brand classification, configurable batch exports, and executor feedback.

  • Works in 8 steps: 建立总候选库:保留原始来源,不直接从多个来源分别生成最终工作簿。 → 分片研究:只有用户明确要求并行时,才把互不重叠的来源或候选范围交给子代理。先登记分… → 单点合并:主代理统一标准化域名和 URL、全局查重、分类、分配品牌并维护状态。 → …
  • Large-scale directory
  • SKILL.md covers 适用边界, 启动前冻结范围, 工作流程 and 候选保留规则, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Backlink Batch Expansion is an agent skill from flaqai/backlink_skills. Build and maintain a reusable backlink-submission candidate pool with global deduplication, fee and brand classification, configurable batch exports, and executor feedback. Use for large-scale directory, tool-listing, startup-database, community, or resource-page backlink expansion; do not use for editorial guest-post production or actual submission without separate authorization.

Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `references/schema-and-rules.md` and `scripts/validate_candidate_pool.py`).

It sits in Marketing & SEO, covering Link building. The repository describes itself as: Awesome skills for submitting url to free websites. Get more backlinks for your website to get more traffic. The licence is MIT.

When your agent uses it

  • Large-scale directory
  • Startup-database
  • Resource-page backlink expansion
  • Do not use for editorial guest-post production

Example prompts

  • “/backlink-batch-expansion”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. 建立总候选库:保留原始来源,不直接从多个来源分别生成最终工作簿。
  2. 分片研究:只有用户明确要求并行时,才把互不重叠的来源或候选范围交给子代理。先登记分片编号、负责代理、来源范围、输出文件和状态。每个子代理只写自己的中间文件,不能同时修改总库或最终工作簿。
  3. 单点合并:主代理统一标准化域名和 URL、全局查重、分类、分配品牌并维护状态。
  4. 轻量入口识别:按授权检查公开首页、页脚和少量常见路径;不扫描全站,不绕过验证码或安全验证。没有发现入口不等于网站无机会,应转入备用池。
  5. 一次分类:费用、入口类型、品牌适配、候选池和风险只在总库中判断一次。只有找到明确提交入口或满足用户的宽松收录规则时才进入可执行池;仅有首页、联系页或待确认入口的记录进入备用池。
  6. 自动分批:批次大小作为参数。已导出的批次编号冻结;改变批次大小只影响尚未分配的记录。
  7. 机械导出:从总库生成每个批次的工作簿,避免逐批重新研究、查重和制表。
  8. 回写结果:执行人员提交时记录真实费用、登录要求、强制回链、有效性和提交结果,供下一批调整排序和排除规则。

What it can do on your machine

Read from SKILL.md and the folder at commit 3c56c94. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Backlink Batch Expansion loads about 757 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 94 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~757
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from flaqai/backlink_skills at commit 3c56c94, republished under its MIT licence (© flaqai). 94 words, ~757 tokens.

Download SKILL.mdSave it as .claude/skills/backlink-batch-expansion/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
backlink-batch-expansion
description
Build and maintain a reusable backlink-submission candidate pool with global deduplication, fee and brand classification, configurable batch exports, and executor feedback. Use for large-scale directory, tool-listing, startup-database, community, or resource-page backlink expansion; do not use for editorial guest-post production or actual submission without separate authorization.

外链批量扩量

将大量来源整理成一个可持续更新的批量提交候选库,再从总库自动生成执行批次。核心目标是减少重复研究、重复查重和重复制表,同时明确区分候选、已核验、已提交和已收录。

在 backlink-expansion-matrix 端到端流程中,本技能只负责批量线筛选、分类和候选池,不直接修改最终工作簿;完成后交给 backlink-workbook-delivery 统一去重、冻结批次和制表。单独调用本技能且用户明确要求工作簿时,仍可按下述交付规则直接生成。

适用边界

  • 适用于工具目录、产品导航、创业项目库、社区资料页和资源推荐页等批量提交机会。
  • 文章投稿线单独处理,不把必须写正式文章或新闻稿的入口混入批量提交表。
  • 候选表不是提交授权,也不证明入口有效、链接可控、提交成功、页面公开或已被搜索引擎收录。
  • 未经用户授权,不注册、不登录、不付款、不提交、不联系站方。
  • 若筛选阶段不做逐站人工核验,必须把交付物明确标为“待执行候选”,并把确认成本交给执行人员在真实提交时记录。

启动前冻结范围

确认并记录:目标品牌、候选来源、现有工作簿、目标是“现有表补足到某个总数”还是“另建一个固定数量的新批次”、批次大小、批量提交线的排除条件、是否允许轻量公开页检测、是否允许子代理并行、输出目录和最终列名。用户已给出这些信息时直接执行,不重复询问。

“现有 A 条补足到 B 条”表示保留原记录并新增 B-A 条,不得解释成另外生成 B 条。若现有记录已经属于某个已导出批次,保留原有批次关系;新增记录只填补当前目标或进入尚未冻结的新批次。

工作流程

  1. 建立总候选库:保留原始来源,不直接从多个来源分别生成最终工作簿。
  2. 分片研究:只有用户明确要求并行时,才把互不重叠的来源或候选范围交给子代理。先登记分片编号、负责代理、来源范围、输出文件和状态。每个子代理只写自己的中间文件,不能同时修改总库或最终工作簿。
  3. 单点合并:主代理统一标准化域名和 URL、全局查重、分类、分配品牌并维护状态。
  4. 轻量入口识别:按授权检查公开首页、页脚和少量常见路径;不扫描全站,不绕过验证码或安全验证。没有发现入口不等于网站无机会,应转入备用池。
  5. 一次分类:费用、入口类型、品牌适配、候选池和风险只在总库中判断一次。只有找到明确提交入口或满足用户的宽松收录规则时才进入可执行池;仅有首页、联系页或待确认入口的记录进入备用池。
  6. 自动分批:批次大小作为参数。已导出的批次编号冻结;改变批次大小只影响尚未分配的记录。
  7. 机械导出:从总库生成每个批次的工作簿,避免逐批重新研究、查重和制表。
  8. 回写结果:执行人员提交时记录真实费用、登录要求、强制回链、有效性和提交结果,供下一批调整排序和排除规则。

候选来源可以包含 Semrush 优先候选、竞品引荐域名、历史候选表、资源推荐页、导航站出站域名和公开外链清单。来源只决定检查顺序,不替代具体入口判断。

详细字段、去重、费用和状态规则见 references/schema-and-rules.md。

开始并行前复制 assets/shard-registry.csv 作为分片登记表。合并总候选库后运行 scripts/validate_candidate_pool.py --input <总候选库.csv>,检查必需字段、固定枚举、URL、费用分类和重复项;修正错误后再生成批次。

候选保留规则

批量线以扩量为先,允许注册、登录、验证码、人工审核、较长产品资料和 nofollow。排除以下对象:

  • 必须发布正式文章或新闻稿;
  • 强制回链、强制徽章或存在明确删除风险;
  • 成人、赌博、恶意软件、明显垃圾或失效网站;
  • 没有任何可识别提交入口,且没有保留价值。

链接实力、自然流量和竞品覆盖主要决定检查顺序,不作为严格淘汰条件。高权重通用网站不自动等于可提交平台;小型垂直目录也不因权重低而自动删除。

费用与证据

  • 明确存在可用的免费基础路线才能进入免费组;允许同站另有可选付费升级。
  • 明确收费进入付费组。
  • 免费路线本身是否存在尚未确认时,不得因为“可能免费”或“未看到收费”写成免费。若交付结构只有“免费”和“付费”,暂放付费组,并在投递条件中写“费用待确认”;统计时不得把它与明确付费混为一谈。
  • 保存具体入口 URL 和简短证据说明。搜索结果、公开页面或可读表单只证明候选存在,不证明链接一定可控或会被收录。

工作簿要求

编辑或创建 Excel 文件时,使用环境中的电子表格技能和指定的工作簿工具。保留原文件并另存新版本。最终执行表只显示用户要求的列;为下拉列表保留的辅助列可以存在,但必须隐藏或设为零宽,不能让执行人员误以为它是交付字段。内部编号、来源、状态、证据和批次字段留在总候选库中。

若当前任务由 backlink-expansion-matrix 总控,本节由 backlink-workbook-delivery 执行,本技能只提供通过筛选的候选池、备用池和排除表。

交付前至少检查:

  • 免费与付费两个工作表及列名符合要求;
  • 总行数达到目标,且没有空域名、空 URL 或异常格式;
  • 完整 URL 全局唯一;同时从 URL 主机名重新计算根域名,不能只相信历史“域名”列;同一根域名的不同入口经过判断;
  • 不与历史已导出批次重复;
  • 每条至少适合一个目标品牌;
  • “费用待确认”没有被报告成明确免费;
  • 已导出批次和未分配候选状态清楚;
  • 工作簿重新导入、数据检查和视觉检查通过。

批次反馈

第一批开始执行后,按用户指定的抽样数收集反馈;用户未指定时,应根据批次规模给出建议并由用户确认。若无效率、强制付费率或入口失效率明显升高,先调整排序和识别规则,再生成下一批。分别统计候选数、实际提交数和成功收录数,三者不能混用。

© flaqai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references, assets) in 双线外链挖掘矩阵/skills/backlink-batch-expansion of flaqai/backlink_skills.

  • SKILL.md
  • agents/openai.yaml
  • assets/shard-registry.csv
  • references/schema-and-rules.md
  • scripts/validate_candidate_pool.py

Open the folder on GitHubat commit 3c56c94

Compare with similar skills

Backlink Batch Expansion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Backlink Batch Expansion compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Backlink Batch Expansion this skillflaqai/backlink_skills752—~757Automated safety check: PassMIT
FLOW SEO FrameworkAgriciDaniel/claude-seo18k2 repos~1.4kAutomated safety check: PassMIT
SEO DataforseoAgriciDaniel/codex-seo7912 repos~4.6kAutomated safety check: PassMIT
Backlink CheckRyze-AI-Adgent/open-seo-mcp-skills4.5k—~515Automated safety check: PassMIT
Beyondseobeyondtahir/beyondseo157—~4.3kAutomated safety check: PassMIT
Webobsidianxnohat/webobsidian268—~2.1kAutomated safety check: PassMIT

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Categories

Questions about Backlink Batch Expansion

What does Backlink Batch Expansion do?

Build and maintain a reusable backlink-submission candidate pool with global deduplication, fee and brand classification, configurable batch exports, and executor feedback. Backlink Batch Expansion is an agent skill from flaqai/backlink_skills. Build and maintain a reusable backlink-submission candidate pool with global deduplication, fee and brand classification, configurable batch exports, and executor feedback.

When should I use Backlink Batch Expansion?

Backlink Batch Expansion fits situations like: large-scale directory; startup-database; resource-page backlink expansion; do not use for editorial guest-post production.

How do I install Backlink Batch Expansion in Claude Code?

Run `npx skills add flaqai/backlink_skills --skill backlink-batch-expansion -a claude-code`. Or copy the skill folder (双线外链挖掘矩阵/skills/backlink-batch-expansion in flaqai/backlink_skills) into .claude/skills/backlink-batch-expansion in your project. Claude Code loads it when a task matches its description.

How do I install Backlink Batch Expansion in Codex?

Run `npx skills add flaqai/backlink_skills --skill backlink-batch-expansion -a codex`. Or copy the skill folder (双线外链挖掘矩阵/skills/backlink-batch-expansion in flaqai/backlink_skills) into .agents/skills/backlink-batch-expansion in your project. Codex loads it when a task matches its description.

Can I use Backlink Batch Expansion in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add flaqai/backlink_skills --skill backlink-batch-expansion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/backlink-batch-expansion, .gemini/skills/backlink-batch-expansion, .github/skills/backlink-batch-expansion and .opencode/skills/backlink-batch-expansion in your project.

What does Backlink Batch Expansion need to run?

Going by SKILL.md and its folder, Backlink Batch Expansion needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Backlink Batch Expansion access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Backlink Batch Expansion safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Backlink Batch Expansion use?

Backlink Batch Expansion is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Backlink Batch Expansion use?

About 757 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 923 tokens, read only when the agent opens those files.

What are the alternatives to Backlink Batch Expansion?

Skills that share tags, products or a category with Backlink Batch Expansion: FLOW SEO Framework (AgriciDaniel/claude-seo, 18k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 791 stars), Backlink Check (Ryze-AI-Adgent/open-seo-mcp-skills, 4.5k stars) and Beyondseo (beyondtahir/beyondseo, 157 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Backlink Batch Expansion?

flaqai (a GitHub organization) maintains it in flaqai/backlink_skills, which has 752 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on September 24, 2026.

Source: flaqai/backlink_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.