FLOW SEO Framework
AgriciDaniel/claude-seo
Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.
Evaluate backlink quality using Domain Authority, Domain Rating, and trust metrics.
Install Algo SEO Backlink
$ npx skills add asgard-ai-platform/skills --skill algo-seo-backlink -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-backlink --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/algo-seo-backlink .claude/skills/algo-seo-backlink && rm -rf skills-srcUse ~/.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/
Install the "algo-seo-backlink" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-backlink into .claude/skills/algo-seo-backlink/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-backlink", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-backlinkType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add asgard-ai-platform/skills --skill algo-seo-backlink -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-backlink --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/algo-seo-backlink .agents/skills/algo-seo-backlink && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "algo-seo-backlink" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-backlink into .agents/skills/algo-seo-backlink/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-backlink", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill algo-seo-backlink -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-backlink --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/algo-seo-backlink .cursor/skills/algo-seo-backlink && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "algo-seo-backlink" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-backlink into .cursor/skills/algo-seo-backlink/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-backlink", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/asgard-ai-platform/skills.git --path algo-seo-backlink--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add asgard-ai-platform/skills --skill algo-seo-backlink -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-backlink --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/algo-seo-backlink .gemini/skills/algo-seo-backlink && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "algo-seo-backlink" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-backlink into .gemini/skills/algo-seo-backlink/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-backlink", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install asgard-ai-platform/skills algo-seo-backlinkInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add asgard-ai-platform/skills --skill algo-seo-backlink -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/algo-seo-backlink .github/skills/algo-seo-backlink && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "algo-seo-backlink" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-backlink into .github/skills/algo-seo-backlink/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-backlink", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add asgard-ai-platform/skills --skill algo-seo-backlink -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills algo-seo-backlink --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/algo-seo-backlink .opencode/skills/algo-seo-backlink && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "algo-seo-backlink" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-seo-backlink into .opencode/skills/algo-seo-backlink/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-seo-backlink", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
algo-seo-backlink- GitHub stars
- 242
- Token cost
- ~1.1k tokens
- SKILL.md length
- 411 words
- Files
- 4 (incl. references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Evaluate backlink quality using Domain Authority, Domain Rating, and trust metrics.
- Works in 4 steps: Input Validation → Core Algorithm → Verification → …
- The user needs to assess link profile health
- SKILL.md covers Overview, When to Use, Algorithm and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Algo SEO Backlink is an agent skill from asgard-ai-platform/skills. Evaluate backlink quality using Domain Authority, Domain Rating, and trust metrics. Use this skill when the user needs to assess link profile health, identify toxic backlinks, or plan link building strategy — even if they say 'check my backlinks', 'link building', or 'domain authority analysis'.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/competitor-gap.md` and `references/toxicity-scoring.md`).
It sits in Marketing & SEO, covering Link building. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to assess link profile health
- Identify toxic backlinks
- Plan link building strategy — even if they say check my backlinks
- Domain authority analysis
Example prompts
- “check my backlinks”
- “link building”
- “domain authority analysis”
- “/algo-seo-backlink”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. 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 (its code samples are json).
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
Algo SEO Backlink loads about 1.1k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 411 words of instructions outside code blocks.
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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 411 words, ~1,056 tokens.
Download SKILL.mdSave it as
.claude/skills/algo-seo-backlink/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- algo-seo-backlink
- description
- Evaluate backlink quality using Domain Authority, Domain Rating, and trust metrics. Use this skill when the user needs to assess link profile health, identify toxic backlinks, or plan link building strategy — even if they say 'check my backlinks', 'link building', or 'domain authority analysis'.
- metadata.category
- WP-35 SEO 演算法
- metadata.tags
- seo, backlinks, domain-authority, link-building
Backlink Quality Assessment
Overview
Backlink analysis evaluates incoming links by quality metrics (DA/DR, relevance, anchor text diversity, toxicity) to assess a site's off-page SEO strength. Quality assessment is heuristic-based using third-party metrics (Moz DA, Ahrefs DR) as PageRank proxies.
When to Use
Trigger conditions:
- Auditing a site's backlink profile for SEO health
- Identifying and disavowing toxic or spammy links
- Planning link building strategy based on competitor analysis
When NOT to use:
- When optimizing on-page content (use content SEO)
- When computing actual PageRank from raw link graphs (use PageRank algorithm)
Algorithm
IRON LAW: Backlink QUALITY Outweighs Quantity
One link from a high-authority, topically relevant domain is worth
more than hundreds from low-quality sites. Evaluate every link on:
1. Authority (DA/DR of linking domain)
2. Relevance (topical match between linking and target pages)
3. Placement (editorial in-content > footer/sidebar)
4. Anchor text (natural diversity > exact-match keyword stuffing)Phase 1: Input Validation
Export backlink data from Ahrefs, Moz, or Search Console. Required fields: referring domain, DA/DR, anchor text, link type (dofollow/nofollow), first seen date. Gate: Complete backlink export with authority metrics.
Phase 2: Core Algorithm
- Deduplicate by referring domain (one link per domain for analysis)
- Score each link: authority (0-100) × relevance (0-1) × placement weight
- Flag toxic links: DA < 10, irrelevant foreign language, link farm patterns, PBN indicators
- Compute profile metrics: total referring domains, DR distribution, anchor text diversity index
Phase 3: Verification
Cross-reference flagged toxic links against known spam databases. Verify anchor text distribution follows natural pattern (branded > URL > keyword > misc). Gate: Toxic links identified, anchor profile analyzed.
Phase 4: Output
Return profile assessment with link quality distribution and action items.
Output Format
{
"profile": {"referring_domains": 450, "avg_dr": 35, "toxic_count": 23, "anchor_diversity": 0.78},
"actions": [{"type": "disavow", "domains": ["spam1.com"], "reason": "link farm pattern"}],
"metadata": {"tool": "ahrefs", "export_date": "2025-01-15"}
}Examples
Sample I/O
Input: 500 backlinks, 200 referring domains Expected: Distribution: 15% DR 60+, 40% DR 20-59, 45% DR 0-19. Flag 23 toxic domains for disavow.
Show full SKILL.md (166 more words)Show less
Edge Cases
| Input | Expected | Why |
|---|---|---|
| All links from one domain | Low profile diversity | Single-source dependency is risky |
| 90% exact-match anchors | Anchor text penalty risk | Unnatural anchor pattern |
| Zero backlinks | Focus on content first | Can't optimize what doesn't exist |
Gotchas
- DA/DR are third-party estimates: They approximate PageRank but are NOT Google metrics. Two tools often disagree on the same domain's authority.
- Nofollow still matters: Google treats nofollow as a "hint." A nofollow link from a DR 90 site still has SEO value, just less than dofollow.
- Disavow carefully: Google's disavow tool is a last resort. Disavowing legitimate links harms your own profile. Only disavow clearly toxic/spammy links.
- Anchor text manipulation: Exact-match anchor text used to be a ranking factor; now it's a spam signal. Natural profiles have mostly branded and URL anchors.
- Temporal patterns: Sudden spikes in backlinks (e.g., 100 links in one day) trigger spam filters. Natural link acquisition is gradual.
References
- For link toxicity scoring methodology, see
references/toxicity-scoring.md - For competitor backlink gap analysis, see
references/competitor-gap.md
© asgard-ai-platform, 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 3 other files (references) in algo-seo-backlink of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_scenario.md
- references/competitor-gap.md
- references/toxicity-scoring.md
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Algo SEO Backlink 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Algo SEO Backlink this skillasgard-ai-platform/skills | 242 | — | ~1.1k | Automated safety check: Pass | MIT | |
| FLOW SEO FrameworkAgriciDaniel/claude-seo | 19k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Backlink CheckRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~515 | Automated safety check: Pass | MIT | |
| Beyondseobeyondtahir/beyondseo | 161 | — | ~4.3k | Automated safety check: Pass | MIT | |
| Webobsidianxnohat/webobsidian | 268 | — | ~2.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Algo SEO Backlink
What does Algo SEO Backlink do?
Evaluate backlink quality using Domain Authority, Domain Rating, and trust metrics. Algo SEO Backlink is an agent skill from asgard-ai-platform/skills. Evaluate backlink quality using Domain Authority, Domain Rating, and trust metrics.
When should I use Algo SEO Backlink?
Algo SEO Backlink fits situations like: the user needs to assess link profile health; identify toxic backlinks; plan link building strategy — even if they say check my backlinks; domain authority analysis.
How do I install Algo SEO Backlink in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill algo-seo-backlink -a claude-code`. Or copy the skill folder (algo-seo-backlink in asgard-ai-platform/skills) into .claude/skills/algo-seo-backlink in your project. Claude Code loads it when a task matches its description.
How do I install Algo SEO Backlink in Codex?
Run `npx skills add asgard-ai-platform/skills --skill algo-seo-backlink -a codex`. Or copy the skill folder (algo-seo-backlink in asgard-ai-platform/skills) into .agents/skills/algo-seo-backlink in your project. Codex loads it when a task matches its description.
Can I use Algo SEO Backlink 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 asgard-ai-platform/skills --skill algo-seo-backlink -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algo-seo-backlink, .gemini/skills/algo-seo-backlink, .github/skills/algo-seo-backlink and .opencode/skills/algo-seo-backlink in your project.
What does Algo SEO Backlink need to run?
SKILL.md names no scripts, command-line tools or credentials: Algo SEO Backlink is instructions for the agent only.
Does Algo SEO Backlink 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 Algo SEO Backlink 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 Algo SEO Backlink use?
Algo SEO Backlink 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 Algo SEO Backlink use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 4.5k tokens, read only when the agent opens those files.
What are the alternatives to Algo SEO Backlink?
Skills that share tags, products or a category with Algo SEO Backlink: 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 Algo SEO Backlink?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.