Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/prashishh/seo-geo-report-enginenpx agentmods add skills/prashishh/seo-geo-report-engine/domain-authorityWrote 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/prashishh/seo-geo-report-engine/domain-authority)<a href="https://agentmods.dev/skills/prashishh/seo-geo-report-engine/domain-authority"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/domain-authority/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/prashishh/seo-geo-report-engine/domain-authority"><img src="https://agentmods.dev/badge/skills/prashishh/seo-geo-report-engine/domain-authority.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 | $0.00137 | $0.00688 |
| Opus 5 | $0.00068 | $0.00344 |
| Sonnet 5 | $0.00027 | $0.00138 |
| Haiku 4.5 | $0.00014 | $0.00069 |
Grade A, and why
domain-authority 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 — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
domain-authority
Authority ("how much trust a domain has earned") is a proxy, and every provider computes it differently, so one number is fragile. This reads it from EVERY source available and reports the consensus + spread.
python3 tools/seo/authority.py --project <slug> # client + client.yml competitors
python3 tools/seo/authority.py --domains a.com b.com c.com # ad-hoc set
python3 tools/seo/authority.py --project <slug> --out projects/<slug>/data/raw/dataforseo/authority-<date>.json
Sources (each optional and graceful, missing keys are skipped)
- DataForSEO - always on (we own it):
rank0-1000 + referring domains + backlinks, one bulk call. - Ahrefs - Domain Rating 0-100 (the recognized number), one call per domain, if
AHREFS_API_KEYset. - Open PageRank (DomCop) - FREE 0-10 link score, 100 domains/call, if
OPENPAGERANK_API_KEYset (free key from domcop.com/openpagerank). The best "bulk authority at $0" source. - Moz - Domain Authority 0-100 (the other recognized number), if
MOZ_TOKENset.
Output: a ranked table of client + competitors with each source's normalized score, the consensus
(mean of available sources), and the spread (max-min). Big spread = the sources disagree, investigate
before quoting. Writes data/authority.csv. If an API source is unavailable and you only need a
recognized number for a few domains, grab Moz DA / Semrush Authority Score free by hand (see
knowledge/seo-geo-tooling-landscape.md).
Notes
- Powers the
first-scan-reportauthority section and thecompetitor-analysis/kpi-dashboardauthority pillar. Cross-check the headline number against Ahrefs before quoting a client (Ahrefs DR is the client-recognized metric; DataForSEO/Open PageRank are the cheap bulk cross-checks). - The recipe stays internal; show the client the consensus number, not the method.
- To add sources: Open PageRank + Moz keys light up two more columns instantly (config/secrets.env).
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 · 47 lines · 137 tokens per session scan A 12afbd121c86
domain-authority is a skill published in the GitHub repository prashishh/seo-geo-report-engine (5 stars, last pushed 2mo ago), licensed MIT. It adds 137 tokens to every session and 688 once invoked, about $0.0007 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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