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.
npx skills add ZachArticulateV/designer-pro-and-seo --skill seo-backlinksgit 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/skills/zacharticulatev/designer-pro-and-seo/seo-backlinks)<a href="https://agentmods.dev/skills/zacharticulatev/designer-pro-and-seo/seo-backlinks"><img src="https://agentmods.dev/badge/skills/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/skills/zacharticulatev/designer-pro-and-seo/seo-backlinks"><img src="https://agentmods.dev/badge/skills/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 | $0.00127 | $0.00879 |
| Opus 5 | $0.00063 | $0.00439 |
| Sonnet 5 | $0.00025 | $0.00176 |
| Haiku 4.5 | $0.00013 | $0.00088 |
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 12d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seo-backlinks
Family: seo Status: Stable
Purpose
Backlink intelligence on a free-to-premium ladder. Tool-aware: with a link-data MCP connected (DataForSEO/Moz/Bing) it returns a full referring-domain profile with metrics; without one, it assembles a qualitative profile from public signals (Common Crawl web graph, Bing Webmaster) plus web-search mention discovery — rarer than it sounds on the free tier, and a genuine differentiator.
Triggers
- "backlinks" / "backlink audit"
- "link profile" / "referring domains"
- "anchor text"
- "toxic links" / "disavow"
- "link gap" / "competitor backlinks"
- "link building"
Inputs
- Domain
- Optional competitor domains (for gap analysis)
- Tier preference (auto | built-in | premium)
Steps
- Detect tooling. Check whether a link-data MCP (DataForSEO/Moz/Bing) is exposed
this session (
scripts/workflow/capability_probe.pyreports relevant keys). - Premium path (Tier 1, if connected). Pull the full profile via the connected MCP (referring domains, anchors, authority metrics); flag toxic links on conservative thresholds; compute competitor gap.
- Built-in path (Tier 2, always available). Assemble a qualitative profile with WebSearch: discover brand/URL mentions and likely linking domains, and group them. If you have access to a public web-graph (Common Crawl / Bing Webmaster), fold it in — the plugin ships no such fetcher, so treat it as optional. Label the result qualitative: exact counts, authority, and confirmed toxicity need Tier 1.
- Synthesize. Produce the inventory, an anchor-text read, conservatively-flagged toxic candidates (with the caveat that confirmation needs metrics), and a competitor-gap prospect list.
- Report which tier ran and what a link-data MCP would add.
Capability routing
This skill follows the plugin's capability-tier cascade
(references/CAPABILITY-TIERS.md):
- Tier 1 — link-data MCP. DataForSEO/Moz/Bing if connected → full metric profile.
- Tier 2 — built-in (default). Common Crawl / Bing public signals + WebSearch mention discovery → a qualitative profile and prospect list.
- Tier 4 — guided. If the user needs authoritative counts/scores and no MCP is connected, deliver the qualitative profile and name the setup to unlock metrics.
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.
- 12d ago First seen · 83 lines · 127 tokens per session scan A 8f58bbf039d4
seo-backlinks is a skill published in the GitHub repository ZachArticulateV/designer-pro-and-seo (8 stars, last pushed 2mo ago), licensed MIT. It adds 127 tokens to every session and 879 once invoked, about $0.0006 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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