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Get Started Free →hashgraph-online/seo-backlinks
Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Works with free APIs (Moz, Bing Webmaster, Common Crawl) and DataForSEO extension.
Passed 21 of 22 test cases with the skill, and 8 of 22 without it.
and 14 more in the full report
13 fixed8 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
A Moz API metric scan for https://nicheblog.com returns a Spam Score of 14%. What risk classification applies to this score?
| Checked | Without skill | With skill |
|---|---|---|
| Classifies a Moz Spam Score over 11% as high risk. | Missed | Passed |
The instructions your model reads when the skill loads.
Before analysis, detect available data sources:
dataforseo_backlinks_summary tool is availablepython3 scripts/backlinks_auth.py --check moz --jsonpython3 scripts/backlinks_auth.py --check bing --jsonRun python3 scripts/backlinks_auth.py --check --json to detect all sources at once.
If no sources are configured beyond the always-available tier:
/seo backlinks setup to add free Moz and Bing API keys for richer data"| Command | Purpose |
|---|---|
/seo backlinks <url> | Full backlink profile analysis (uses all available sources) |
/seo backlinks gap <url1> <url2> | Competitor backlink gap analysis |
/seo backlinks toxic <url> | Toxic link detection and disavow recommendations |
/seo backlinks new <url> | New and lost backlinks (DataForSEO only) |
/seo backlinks verify <url> --links <file> | Verify known backlinks still exist |
/seo backlinks setup | Show setup instructions for free backlink APIs |
Produce all 7 sections below. Each section lists data sources in preference order.
DataForSEO: dataforseo_backlinks_summary → total backlinks, referring domains, domain rank, follow ratio, trend.
Moz API: python3 scripts/moz_api.py metrics <url> --json → Domain Authority, Page Authority, Spam Score, linking root domains, external links.
Common Crawl: python3 scripts/commoncrawl_graph.py <domain> --json → in-degree (referring domain count), PageRank, harmonic centrality.
test cases passed, vs 8 / 22 without
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