Agent skill

Link Prospecting Research

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Research link-building opportunities by mapping assets to opportunity types, building query libraries, analyzing competitor backlinks, finding scrapeable lists, and expanding prospecting seeds.

MITAuto-check passedMarketing & SEO

Install Link Prospecting Research

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill link-prospecting-research -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins link-prospecting-research --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/link-prospecting-research .claude/skills/link-prospecting-research && 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
link-prospecting-research
GitHub stars
1.3k
Token cost
~737 tokens
SKILL.md length
284 words
Files
5 (incl. references)
Skills in repo
716
Repo updated
First seen
Licence
MIT

At a glance

Research link-building opportunities by mapping assets to opportunity types, building query libraries, analyzing competitor backlinks, finding scrapeable lists, and expanding prospecting seeds.

  • Works in 5 steps: Use the Contents table below to choose… → Use workflows/research-link-prospects.md… → Start from available linkable assets and… → …
  • Finding link prospects
  • SKILL.md covers Quick Start, Default Output, Contents and Core Posture
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Link Prospecting Research is an agent skill from hashgraph-online/awesome-codex-plugins. Research link-building opportunities by mapping assets to opportunity types, building query libraries, analyzing competitor backlinks, finding scrapeable lists, and expanding prospecting seeds. Use when finding link prospects, creating link prospecting queries, mapping guest post/resource/directory opportunities, or producing a prospect research map before qualification or outreach.

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/core/examples.md`, `references/core/knowledge.md` and `references/core/rules.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Marketing & SEO, covering Link building. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Finding link prospects
  • Creating link prospecting queries
  • Mapping guest post/resource/directory opportunities
  • Producing a prospect research map before qualification

Example prompts

  • “/link-prospecting-research”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

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

  1. Use the Contents table below to choose the smallest useful reference set.
  2. Use workflows/research-link-prospects.md for a full prospecting pass.
  3. Start from available linkable assets and campaign goals.
  4. Build keyword classes, opportunity types, query patterns, competitor backlink angles, list sources, and autocomplete expansions.
  5. Return a deduped prospect research map with next qualification steps.

What it can do on your machine

Read from SKILL.md and the folder at commit 3e1456a. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Link Prospecting Research loads about 737 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 284 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~737
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 284 words, ~737 tokens.

Download SKILL.mdSave it as .claude/skills/link-prospecting-research/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
link-prospecting-research
description
Research link-building opportunities by mapping assets to opportunity types, building query libraries, analyzing competitor backlinks, finding scrapeable lists, and expanding prospecting seeds. Use when finding link prospects, creating link prospecting queries, mapping guest post/resource/directory opportunities, or producing a prospect research map before qualification or outreach.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Link Prospecting Research
metadata.category
Marketing
metadata.tags
seo,link-building,research,prospecting,organic-growth

Use this skill to find potential link opportunities and produce a research map. Stop at research: do not qualify final targets, send outreach, submit forms, buy links, or promise acquisition.

This skill is derived from Garrett French and Eric Ward's Ultimate Guide to Link Building and uses transformed guidance with durable book-topic references. Do not copy book prose into user outputs.

Quick Start

  1. Use the Contents table below to choose the smallest useful reference set.
  2. Use workflows/research-link-prospects.md for a full prospecting pass.
  3. Start from available linkable assets and campaign goals.
  4. Build keyword classes, opportunity types, query patterns, competitor backlink angles, list sources, and autocomplete expansions.
  5. Return a deduped prospect research map with next qualification steps.

Default Output

When asked to research prospects, return:

  1. Objective and scope - site, target asset, audience, market, geography, and excluded tactics.
  2. Asset-to-opportunity fit - assets mapped to likely opportunity types.
  3. Keyword universe - market, customer, product, expert, competitor, geo, and adjacent vertical terms.
  4. Opportunity type map - query patterns, signals, asset fit, and priority.
  5. Query library - reusable research phrases, operators, footprints, and exclusions.
  6. Competitor backlink angles - patterns worth investigating.
  7. List-scrape and autocomplete sources - seed sets and filters.
  8. Risks and next actions - noise, paid/sponsored risk, spam risk, and qualification gaps.

Contents

NeedStart Here
Understand prospecting conceptsreferences/core/knowledge.md
Apply research rulesreferences/core/rules.md
Use query pattern examplesreferences/core/examples.md
Run a research passworkflows/research-link-prospects.md

Core Posture

  • Opportunity equals a linkable asset concept plus enough likely linkers.
  • Query design should prequalify by asset fit and page type.
  • More precise query segments beat digging deep into weak search results.
  • Competitor backlinks are evidence, not an outreach-ready list.
  • Final approval belongs to link-prospect-qualification.

© hashgraph-online, 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 (references) in plugins/LVTD-LLC/skills/skills/link-prospecting-research of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • references/core/examples.md
  • references/core/knowledge.md
  • references/core/rules.md
  • workflows/research-link-prospects.md

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

Link Prospecting Research 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.

Link Prospecting Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Link Prospecting Research this skillhashgraph-online/awesome-codex-plugins1.3k—~737Automated safety check: PassMIT
FLOW SEO FrameworkAgriciDaniel/claude-seo19k2 repos~1.4kAutomated safety check: PassMIT
SEO DataforseoAgriciDaniel/codex-seo7992 repos~4.6kAutomated safety check: PassMIT
Backlink CheckRyze-AI-Adgent/open-seo-mcp-skills4.7k—~515Automated safety check: PassMIT
Beyondseobeyondtahir/beyondseo161—~4.3kAutomated safety check: PassMIT
Webobsidianxnohat/webobsidian268—~2.1kAutomated safety check: PassMIT

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Categories

Questions about Link Prospecting Research

What does Link Prospecting Research do?

Research link-building opportunities by mapping assets to opportunity types, building query libraries, analyzing competitor backlinks, finding scrapeable lists, and expanding prospecting seeds. Link Prospecting Research is an agent skill from hashgraph-online/awesome-codex-plugins. Research link-building opportunities by mapping assets to opportunity types, building query libraries, analyzing competitor backlinks, finding scrapeable lists, and expanding prospecting seeds.

When should I use Link Prospecting Research?

Link Prospecting Research fits situations like: finding link prospects; creating link prospecting queries; mapping guest post/resource/directory opportunities; producing a prospect research map before qualification.

How do I install Link Prospecting Research in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill link-prospecting-research -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/link-prospecting-research in hashgraph-online/awesome-codex-plugins) into .claude/skills/link-prospecting-research in your project. Claude Code loads it when a task matches its description.

How do I install Link Prospecting Research in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill link-prospecting-research -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/link-prospecting-research in hashgraph-online/awesome-codex-plugins) into .agents/skills/link-prospecting-research in your project. Codex loads it when a task matches its description.

Can I use Link Prospecting Research 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 hashgraph-online/awesome-codex-plugins --skill link-prospecting-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/link-prospecting-research, .gemini/skills/link-prospecting-research, .github/skills/link-prospecting-research and .opencode/skills/link-prospecting-research in your project.

What does Link Prospecting Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Link Prospecting Research is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Link Prospecting Research 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 Link Prospecting Research 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. Review the folder before installing.

What licence does Link Prospecting Research use?

Link Prospecting Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Link Prospecting Research use?

About 737 tokens (SKILL.md is roughly 2.9k 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 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Link Prospecting Research?

Skills that share tags, products or a category with Link Prospecting Research: FLOW SEO Framework (AgriciDaniel/claude-seo, 19k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Backlink Check (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars) and Beyondseo (beyondtahir/beyondseo, 161 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Link Prospecting Research?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.