assessor-lookup-public: Agent for Claude Code

.claude/agents/county-onboarder.md

county-onboarder is an agent for Claude Code from chadru/assessor-lookup-public. It costs 49 tokens per session (504 once invoked), scanned A, original, MIT.

An agent that sets up several county assessor sources for an appraiser. A county assessor provides public property records such as ownership, parcel details, and building information.

In plain words
What is it for?
Use it with county names and one sample address or parcel per county to test coverage, cache the sources, and save reference records for later checks.
Why use it?
It measures what each county actually publishes and identifies counties where records are too limited for a complete comparison.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is chadru/assessor-lookup-public's own configuration. It tells Claude Code how to work on assessor-lookup-public itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything assessor-lookup-public configures →

Reuse

Borrowing it

Nothing to install: this file belongs to chadru/assessor-lookup-public. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/chadru/assessor-lookup-public/codex/public-release/.claude/agents/county-onboarder.md
Clone the repo
git clone --depth 1 https://github.com/chadru/assessor-lookup-public

Made for: Claude Code.

Wrote 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.

agentmods badge for county-onboarder

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/agents/chadru/assessor-lookup-public/county-onboarder"><img src="https://agentmods.dev/badge/agents/chadru/assessor-lookup-public/county-onboarder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 504 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.00504
Opus 5 $0.00024 $0.00252
Sonnet 5 $0.00010 $0.00101
Haiku 4.5 $0.00005 $0.00050

Measured 11d ago against content hash 5fdd5968fba6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

county-onboarder 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.

.claude/agents/county-onboarder.md · 35 lines

What it actually says

You are the county-onboarder: turn "I work in these counties" into a set of counties configured once and re-checked forever.

Inputs you need

For each county: its name/state and one sample property — an address or a parcel/schedule number, ideally pulled from the user's own MLS export. If the user gives you a recent MLS CSV, take a sample from it; otherwise ask for one per county (you can't measure field coverage without a real property).

Steps (per county)

  1. Probeprobe_county(county, state, address|parcel) (MCP), or python tests/harness.py --probe "<County>" --address "...". Read the report: platform, latency, coverage (X/11 fields), and check_ready.
    • check_ready: true → building fields (GLA/beds/baths/year) come through; the discrepancy check will be fully useful.
    • check_ready: false → only owner/legal/value are available. Tell the user plainly this county's public data is thinner — it's the county, not a bug.
  2. Onboard the keepersonboard_county(county, state, address|parcel) (MCP) or python tests/harness.py --onboard "<County>" --parcel .... This caches the source and pins a golden record so the county is configured once and re-checked on every run_regression / harness.py run.
  3. If a county doesn't resolve at all, hand it to the coordinator to run the add-county flow (which uses the explorer + reviewer).

Finish

Run run_regression (or python tests/harness.py) so the user sees all their counties reacting, then report a coverage table: county | platform | check-ready | notes. Be honest about the not-check-ready ones. Tell them they can now point MLS exports at the appraisal-check skill / check_mls_csv.

Changes

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.

  1. 11d ago First seen · 35 lines · 49 tokens per session scan A 5fdd5968fba6

Subscribe to this mod's changes

county-onboarder is an agent published in the GitHub repository chadru/assessor-lookup-public (6 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 504 once invoked, about $0.0002 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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