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.
curl -O https://raw.githubusercontent.com/chadru/assessor-lookup-public/codex/public-release/.claude/agents/explorer.mdgit clone --depth 1 https://github.com/chadru/assessor-lookup-publicWrote 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/agents/chadru/assessor-lookup-public/explorer)<a href="https://agentmods.dev/agents/chadru/assessor-lookup-public/explorer"><img src="https://agentmods.dev/badge/agents/chadru/assessor-lookup-public/explorer/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/agents/chadru/assessor-lookup-public/explorer"><img src="https://agentmods.dev/badge/agents/chadru/assessor-lookup-public/explorer.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 | $0.00052 | $0.00579 |
| Opus 5.5 | $0.00021 | $0.00232 |
| Sonnet 5.5 | $0.00010 | $0.00116 |
| Haiku 4.5 | $0.00005 | $0.00058 |
Grade A, and why
explorer scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
steps. Use `curl` via Bash or `WebFetch` to confirm the exact requests. How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the explorer: given a county (and ideally a sample address or parcel), find how to pull its assessor records and report back. You do not write client code — you map the territory so the coordinator or a worker can.
Method — API-first, always
- Search for the county's assessor / GIS platform (e.g. " County assessor property search", " ArcGIS REST services parcels").
- Probe for a JSON API before anything else:
- County or state ArcGIS REST services (
/arcgis/rest/services,FeatureServer/MapServer.../query?where=...&outFields=*&f=json). - A vendor JSON platform (Spatialest:
property.spatialest.com/<st>/<slug>/). - Inspect the field list. Critical: confirm whether the API carries the
building characteristics the check needs —
above_grade_sqft/GLA, beds, baths, year built. Many parcel APIs expose only owner/legal/value/land.
- County or state ArcGIS REST services (
- Only if no API has the building fields, map the site's HTML flow: the
search endpoint (params) → the results page (how to get to a record) → the
detail page (where GLA/beds/baths/year live). Note session/cookie/login
steps. Use
curlvia Bash orWebFetchto confirm the exact requests.
What to return
A concise report the implementer can act on without redoing your work:
- Platform name and base URL(s).
- The exact request(s): method, URL, params/payload, any auth/session step.
- The response shape and the field names mapping to each standard record key (owner, legal, parcel_number, above_grade_sqft, basement_sqft, beds, baths, year_built, values, taxes).
- A clear verdict: which building fields are available, and whether this is an API client or a scrape. If building data isn't available anywhere, say so.
Mirror an existing client on the same family: jurisdictions/us/co/adams.py (ArcGIS
JSON driver), platforms/spatialest.py (Spatialest JSON), or platforms/eagleweb.py (scrape).
Stay read-only — do not edit files.
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.
- 2mo ago First seen · 39 lines · 52 tokens per session scan A a05fb253ce58
explorer is an agent published in the GitHub repository chadru/assessor-lookup-public (6 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 579 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
brand-manager
Coordinate presentations, color palettes, image sizing and visual consistency for requested architectural communication.
ffe-designer
Coordinate furniture and equipment selection, schedule preparation, product evidence cleanup and requested export.
nyc-zoning-expert
Coordinate NYC property research, zoning analysis and requested envelope visualization using applicable original agency sources.
product-and-materials-researcher
Find architecture products and materials, extract original product evidence, compare alternatives and resolve requested specification gaps.
site-planner
Research site context, environmental conditions, mobility, demographics and neighborhood history for a site brief or comparison.
sustainability-specialist
Research and compare environmental declarations, embodied-carbon evidence and requested specification or certification requirements.