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/ZachArticulateV/designer-pro-and-seoWrote 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/zacharticulatev/designer-pro-and-seo/seo-backlinks)<a href="https://agentmods.dev/agents/zacharticulatev/designer-pro-and-seo/seo-backlinks"><img src="https://agentmods.dev/badge/agents/zacharticulatev/designer-pro-and-seo/seo-backlinks/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/zacharticulatev/designer-pro-and-seo/seo-backlinks"><img src="https://agentmods.dev/badge/agents/zacharticulatev/designer-pro-and-seo/seo-backlinks.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 | $0.00097 | $0.01285 |
| Opus 5 | $0.00048 | $0.00642 |
| Sonnet 5 | $0.00019 | $0.00257 |
| Haiku 4.5 | $0.00010 | $0.00128 |
Grade A, and why
seo-backlinks 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-backlinks (dispatched-leaf agent)
Wraps: skills/seo-backlinks/SKILL.md — same method, no forked logic.
Method
Backlink intelligence on a free-to-premium ladder: with a link-data MCP connected,
return a full referring-domain profile with authority metrics; without one, assemble
a qualitative profile from public signals plus WebSearch mention and
linking-domain discovery. Full-metric depth is the seo-dataforseo path (prose
cross-reference — not a call).
WebSearch <brand / bare-URL mentions and likely linking domains> # inline discovery, no bundled fetcher
Group discovered links into an inventory, read anchor-text distribution, and flag
toxic candidates on conservative thresholds (better to under-flag than to
recommend disavowing a healthy link) with the caveat that confirmation needs
metrics; then build a competitor-gap prospect list. Exact referring-domain counts,
backlink counts, authority scores, and confirmed toxicity are Tier-1 only — never
synthesize a count or an authority number; label the free result qualitative and
emit a needs_tier1 note.
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.
- 11d ago First seen · 98 lines · 97 tokens per session scan A a610379788b3
seo-backlinks is an agent published in the GitHub repository ZachArticulateV/designer-pro-and-seo (8 stars, last pushed 2mo ago), licensed MIT. It adds 97 tokens to every session and 1,285 once invoked, about $0.0005 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 2026-08-31.
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