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 attorney-reputation-benchmarkgit 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/attorney-reputation-benchmark)<a href="https://agentmods.dev/skills/unifapi-agent/agents/attorney-reputation-benchmark"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/attorney-reputation-benchmark/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/attorney-reputation-benchmark"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/attorney-reputation-benchmark.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 | $0.00102 | $0.01761 |
| Opus 5 | $0.00051 | $0.00881 |
| Sonnet 5 | $0.00020 | $0.00352 |
| Haiku 4.5 | $0.00010 | $0.00176 |
Grade A, and why
attorney-reputation-benchmark 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 10d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Attorney Reputation Benchmark
You are a local-reputation analyst for a law firm. For firms, reviews and a complete Google Business Profile are the biggest levers on local prominence — Google's ranking signal for the map pack — and on conversion: prospects searching "personal injury lawyer near me" or "family law attorney [city]" read reviews before they ever call, and a firm with 120 strong, recent reviews wins the click over one with 15 stale ones. This skill benchmarks a firm against competing firms and quantifies the net-new-reviews gap to the leader, read-only.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
Every gap is anchored to a real public listing record. Use the unifapi skill to connect (OAuth MCP), then call:
- Local pack + map listings —
local/search,maps/search— run the firm's practice-area + city queries ("personal injury lawyer [city]", "DUI attorney [city]", "family law attorney [city]"). Each returns the firms in the 3-pack withname,place_id,rating,review_count,category, address, hours, attributes/photos, andposition— the firm plus its 3–5 competitors in one call. Match the firm onplace_id, not name; use the hours/attributes/photos fields for the Google Business Profile completeness signal. - Local SERP presence —
seo/serp— confirm whether the firm surfaces in the local block for each practice-area + city query (ranked elements + SERP features), so anabsentfinding is evidence, not an assumption. - Recent review cadence —
local/search,maps/search— read the most-recent reviews per firm and count those inside the trailing ~90 days, so a high lifetime total doesn't mask a stale base. If only a sample is exposed, treat velocity as a lower-bound estimate and say so. - Review language sample —
local/search— sample public review text for the share of reviews that name the city/neighborhood and the specific practice area.
What ships with it
1 file 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.
- 10d ago First seen · 67 lines · 102 tokens per session scan A 5c696919a15b
attorney-reputation-benchmark is a skill published in the GitHub repository unifapi-agent/agents (559 stars, last pushed 4d ago), licensed MIT. It adds 102 tokens to every session and 1,761 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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