Agent skill

Backlink Source Prep

by flaqai in flaqai/backlink_skills

Prepare traceable backlink source data from Semrush organic competitors, Backlink Gap, referring-domain exports, local workbooks, and public lists.

MITAuto-check passedMarketing & SEO

Install Backlink Source Prep

skills CLI
$ npx skills add flaqai/backlink_skills --skill backlink-source-prep -a claude-code

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

GitHub CLI
$ gh skill install flaqai/backlink_skills backlink-source-prep --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-source-prep' .claude/skills/backlink-source-prep && 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-source-prep
GitHub stars
752
Token cost
~307 tokens
SKILL.md length
33 words
Files
5 (incl. scripts, references)
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

Prepare traceable backlink source data from Semrush organic competitors, Backlink Gap, referring-domain exports, local workbooks, and public lists.

  • Works in 7 steps: 为每个源文件登记目标域名、报告类型、数据库、报告日期、导出日期和文件名。 → 从自然搜索竞品中综合相关度、共同关键词、自然流量和主题适配选择参考竞品。指标决定优… → 按工具允许的比较数量分批导出反向链接差异或引荐域名;记录批次号和竞品槽位。 → …
  • Source acquisition
  • SKILL.md covers 三种模式, 工作流程, 优先候选 and 交接
  • Runs Python scripts from its folder

What it does

Backlink Source Prep is an agent skill from flaqai/backlink_skills. Prepare traceable backlink source data from Semrush organic competitors, Backlink Gap, referring-domain exports, local workbooks, and public lists. Use for source acquisition, inventory, normalization, consolidation, exclusion, and priority compression; stop before final site screening or submission.

Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/semrush-export.md` and `references/source-schema.md`).

It sits in Marketing & SEO, covering Link building and Database schema design. 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

  • Source acquisition
  • Priority compression
  • Stop before final site screening

Example prompts

  • “/backlink-source-prep”

Requirements

  • Python 3

Workflow steps

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

  1. 为每个源文件登记目标域名、报告类型、数据库、报告日期、导出日期和文件名。
  2. 从自然搜索竞品中综合相关度、共同关键词、自然流量和主题适配选择参考竞品。指标决定优先顺序,不设单一严格淘汰线。
  3. 按工具允许的比较数量分批导出反向链接差异或引荐域名;记录批次号和竞品槽位。
  4. 运行 scripts/audit_semrush_exports.py 检查文件数、行数、空表、表头差异和读取错误。
  5. 标准化目标域名、来源竞品和引荐域名;保留原始值与来源文件。
  6. 先排除自有域、竞品自身域、明显短链、赌博、恶意、镜像和没有研究价值的噪声,再生成优先候选。
  7. 输出总量、唯一域名数、目标覆盖数和各排除原因,不能只给压缩后的数字。

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 Source Prep loads about 307 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 33 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~307
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

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). 33 words, ~307 tokens.

Download SKILL.mdSave it as .claude/skills/backlink-source-prep/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
backlink-source-prep
description
Prepare traceable backlink source data from Semrush organic competitors, Backlink Gap, referring-domain exports, local workbooks, and public lists. Use for source acquisition, inventory, normalization, consolidation, exclusion, and priority compression; stop before final site screening or submission.

外链源表整理

把分散的竞品和外链导出整理成可追溯、可压缩、可继续筛选的标准源表。原始文件永不覆盖;所有派生文件另存。

三种模式

  • 文件导入:用户已提供 CSV/XLSX,只做登记、读取和整理。
  • 浏览器导出:只有得到明确授权才操作 Semrush;不使用爬虫替代产品导出。
  • 离线整理:读取已有导出,生成合并候选、排除表、优先候选和统计报告。

需要浏览器导出时,先读 references/semrush-export.md。处理字段和压缩规则时,读 references/source-schema.md。

工作流程

  1. 为每个源文件登记目标域名、报告类型、数据库、报告日期、导出日期和文件名。
  2. 从自然搜索竞品中综合相关度、共同关键词、自然流量和主题适配选择参考竞品。指标决定优先顺序,不设单一严格淘汰线。
  3. 按工具允许的比较数量分批导出反向链接差异或引荐域名;记录批次号和竞品槽位。
  4. 运行 scripts/audit_semrush_exports.py 检查文件数、行数、空表、表头差异和读取错误。
  5. 标准化目标域名、来源竞品和引荐域名;保留原始值与来源文件。
  6. 先排除自有域、竞品自身域、明显短链、赌博、恶意、镜像和没有研究价值的噪声,再生成优先候选。
  7. 输出总量、唯一域名数、目标覆盖数和各排除原因,不能只给压缩后的数字。

优先候选

优先级可以参考目标覆盖数、竞品覆盖数、链接实力、自然流量和主题信号,但不得把单个第三方分数当作最终质量结论。高权重通用站不自动成为可投递平台;低权重垂直目录也不自动淘汰。

交接

至少交付:原始文件登记、合并候选、排除表、优先候选、统计报告。文件名后缀应带数据量,例如 合并去重候选-<行数>条.csv。此阶段不得把结果写成“已找到外链平台”或“已核验可投递”。

© 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) in 双线外链挖掘矩阵/skills/backlink-source-prep of flaqai/backlink_skills.

  • SKILL.md
  • agents/openai.yaml
  • references/semrush-export.md
  • references/source-schema.md
  • scripts/audit_semrush_exports.py

Open the folder on GitHubat commit 3c56c94

Compare with similar skills

Backlink Source Prep 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 Source Prep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Backlink Source Prep this skillflaqai/backlink_skills752—~307Automated 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 Source Prep

What does Backlink Source Prep do?

Prepare traceable backlink source data from Semrush organic competitors, Backlink Gap, referring-domain exports, local workbooks, and public lists. Backlink Source Prep is an agent skill from flaqai/backlink_skills. Prepare traceable backlink source data from Semrush organic competitors, Backlink Gap, referring-domain exports, local workbooks, and public lists.

When should I use Backlink Source Prep?

Backlink Source Prep fits situations like: source acquisition; priority compression; stop before final site screening.

How do I install Backlink Source Prep in Claude Code?

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

How do I install Backlink Source Prep in Codex?

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

Can I use Backlink Source Prep 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-source-prep -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-source-prep, .gemini/skills/backlink-source-prep, .github/skills/backlink-source-prep and .opencode/skills/backlink-source-prep in your project.

What does Backlink Source Prep need to run?

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

Does Backlink Source Prep 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 Source Prep 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 Source Prep use?

Backlink Source Prep 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 Source Prep use?

About 307 tokens (SKILL.md is roughly 1.2k 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 707 tokens, read only when the agent opens those files.

What are the alternatives to Backlink Source Prep?

Skills that share tags, products or a category with Backlink Source Prep: 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 Source Prep?

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.