backlink-quality-expansion

backlink-quality-expansion is a skill for Codex from flaqai/backlink_skills. It costs 57 tokens per session (552 once invoked), scanned A, original, MIT.

A research process for finding and assessing editorial backlink opportunities, such as guest articles, expert contributions, industry publications, and curated resource pages. Backlinks are links from other websites to a target website.

In plain words
What is it for?
Use it to screen possible publishing and resource-page opportunities by topic fit, entry requirements, expected value, cost, and evidence.
Why use it?
It helps separate relevant, credible opportunities from unsuitable sites, while avoiding accidental promotion, payment, or submission without approval.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to screen possible publishing and resource-page opportunities by topic fit, entry requirements, expected value, cost, and evidence.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/flaqai/backlink_skills/backlink-quality-expansion
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 flaqai/backlink_skills --skill backlink-quality-expansion
Clone the repo
git clone --depth 1 https://github.com/flaqai/backlink_skills

Made for: 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 backlink-quality-expansion

README.md
[![agentmods](https://agentmods.dev/badge/skills/flaqai/backlink_skills/backlink-quality-expansion/github.svg)](https://agentmods.dev/skills/flaqai/backlink_skills/backlink-quality-expansion)
Your own site
<a href="https://agentmods.dev/skills/flaqai/backlink_skills/backlink-quality-expansion"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/backlink-quality-expansion/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 backlink-quality-expansion

Your own site · 80×15
<a href="https://agentmods.dev/skills/flaqai/backlink_skills/backlink-quality-expansion"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/backlink-quality-expansion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 552 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 original No closer match found 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 $0.00057 $0.00552
Opus 5.5 $0.00023 $0.00221
Sonnet 5.5 $0.00011 $0.00110
Haiku 4.5 $0.00006 $0.00055

Measured 27d ago against content hash ae1b5060ed48, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

backlink-quality-expansion 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 27d 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.

双线外链挖掘矩阵/skills/backlink-quality-expansion/SKILL.md · 32 lines

What it actually says

质量外链扩量

筛选值得投入内容或沟通成本的文章投稿、行业媒体、专家贡献和编辑型资源机会。目标不是只追求高权重,也不是只追求数量,而是在主题适配、准入难度和预期回报之间取得平衡。

输入

可以接收 Semrush 优先候选、竞品真实引荐域名、行业媒体名单、资源推荐页、公开投稿指南和历史候选表。候选来源本身不等于投递资格。

筛选流程

  1. 先确认页面类型:投稿指南、编辑部联系、专栏申请、资源页建议、赞助内容或已暂停计划。
  2. 判断主题是否适合至少一个目标品牌,并说明可写的内容方向;仅能硬塞品牌名的不保留。
  3. 判断准入要求:选题、样稿、作者资历、原创字数、编辑审核、独家要求、作品案例和响应方式。
  4. 判断预期回报:目标读者、页面质量、编辑可信度、链接政策信号和品牌曝光价值。第三方权重只作参考。
  5. 按免费、明确付费、费用待确认分类;保留证据页面和检查日期。
  6. 输出可执行池、备用池和排除表,再交给 backlink-workbook-delivery 统一去重和制表。

详细判断见 references/editorial-screening.md;费用和准入分类见 references/fee-and-admission.md。

保留与排除

优先保留主题明确、官方入口清楚、读者与品牌匹配、投入可估算的机会。暂停投稿、只接受新闻稿、明显卖链、无编辑标准、内容农场或要求伪装推广的站点不得进入免费可执行池。高难度但高回报的机会进入备用池,不因难度大直接删除。

状态边界

本技能只做研究和筛选。不撰写正式文章、不使用虚假作者身份、不发送提案、不付款、不承诺链接属性。交付状态最高为“质量线待执行候选”。

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 27d ago First seen · 32 lines · 57 tokens per session scan A ae1b5060ed48

Subscribe to this mod's changes

backlink-quality-expansion is a skill published in the GitHub repository flaqai/backlink_skills (789 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 552 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-24.

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