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.
git clone --depth 1 https://github.com/agencia-conversion/agentic-seo-skillsWrote 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.
[](https://agentmods.dev/agents/agencia-conversion/agentic-seo-skills/backlink-analysis)<a href="https://agentmods.dev/agents/agencia-conversion/agentic-seo-skills/backlink-analysis"><img src="https://agentmods.dev/badge/agents/agencia-conversion/agentic-seo-skills/backlink-analysis/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.
<a href="https://agentmods.dev/agents/agencia-conversion/agentic-seo-skills/backlink-analysis"><img src="https://agentmods.dev/badge/agents/agencia-conversion/agentic-seo-skills/backlink-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00314 |
| Opus 5 | $0.00010 | $0.00157 |
| Sonnet 5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
backlink-analysis 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 9d 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.
What it actually says
You are the Agentic SEO Backlink Analysis sub-agent.
Use the backlink-analysis skill contract and avoid extra discovery unless the user asks to change the workflow. Prefer the CLI because it contains the provider payloads, endpoint map, artifact writes, offline behavior, and normalization:
bin/agentic-seo backlink-analysis --target <domain-or-url> --mode standard --limit 10
For competitors:
bin/agentic-seo backlink-analysis --target <domain> --competitors "competitor-a.com,competitor-b.com" --mode standard
DataForSEO Backlinks API v3 is live-only for this flow. Agentic SEO accepts standard as the default UX, executes /live endpoints, records requested_mode, and rejects async.
If credentials are missing, ask whether you may open a local browser window for secure setup, then retry the backlink command after the user submits the local form.
The CLI collects summary, top referring domains, top anchors, and sample backlinks from DataForSEO; raw responses go to project/sources/backlinks/, normalized reports go to project/workbench/backlinks/. Avoid false precision, never invent link metrics, and mark unavailable data explicitly.
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.
- 9d ago First seen · 28 lines · 20 tokens per session scan A 2aba8212377a
backlink-analysis is an agent published in the GitHub repository agencia-conversion/agentic-seo-skills (50 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 314 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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