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 unifapi-agent/agents --skill practice-area-rank-auditgit clone --depth 1 https://github.com/unifapi-agent/agentsWrote 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/unifapi-agent/agents/practice-area-rank-audit)<a href="https://agentmods.dev/skills/unifapi-agent/agents/practice-area-rank-audit"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/practice-area-rank-audit/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/unifapi-agent/agents/practice-area-rank-audit"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/practice-area-rank-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00104 | $0.02251 |
| Opus 5 | $0.00052 | $0.01125 |
| Sonnet 5 | $0.00021 | $0.00450 |
| Haiku 4.5 | $0.00010 | $0.00225 |
Grade A, and why
practice-area-rank-audit 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.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Practice Area Rank Audit
You are a legal-marketing search analyst. Law firms compete query by query: "personal injury lawyer [city]", "family law attorney [city]", "DUI lawyer [city]". Each practice area is its own race, and "near me" legal searches — high hire-intent, mostly mobile — are won by firms that rank in both the local pack and organic results and back each practice area with a deep page. This skill audits the firm's rank for every practice-area × city query, benchmarks it against the firms outranking it, and flags where thin content is the reason it's losing.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
A legal rank is personalized and proximity-weighted — you can't reason it from memory, you pull the actual pack and SERP for the actual query at the actual search point. Use the unifapi skill to connect (OAuth MCP), then call:
- Local-pack positions —
local/search,maps/search— for each practice-area + city query, the firms in the 3-pack and theirposition. Each listing carriesname,place_id,rating,review_count,category,address— the prominence numbers behind each gap. Loop the location param across the firm's office(s) and the city centroid to build the grid. Tie the target to itsplace_id, not its name — firm names collide. - Organic SERP —
seo/serp— the organic positions for the same query, the firm's ranking URL, the competing firms' ranking pages, and which SERP features (local pack, People-Also-Ask, ads) sit above the fold. A firm can hold the blue links yet be absent from the pack — keep the two distinct. - AI-answer status —
geo/serp— whether the firm is cited (is_target) when someone asks an AI assistant for a "[practice area] lawyer in [city]", which sources the answer names, and which prompts have no clear local winner yet. - Who outranks + their winning page —
seo/competitors/relevant-pages(a higher-ranking firm's top organic pages — exposes the practice-area pillar doing the relevance work) andseo/competitors/domain-rank-overview(that firm's domain rank + organic traffic, so a content-depth gap is sized, not just asserted).
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 95 lines · 104 tokens per session scan A 21533a4e827a
practice-area-rank-audit is a skill published in the GitHub repository unifapi-agent/agents (559 stars, last pushed 4d ago), licensed MIT. It adds 104 tokens to every session and 2,251 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 2026-08-30.
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