dc-realestate-2026: Instructions file for Claude Code

CLAUDE.md

dc-realestate-2026 CLAUDE.md is an instructions file for Claude Code from abigailhaddad/dc-realestate-2026. It costs 1,339 tokens per session, scanned A, original, MIT.

A project-specific instruction file for Claude working on a data-driven Washington, DC property project. It describes the data pipeline, coding conventions, and common tasks for building visualizations or new projects from the repository.

In plain words
What is it for?
Use it when adding features or visualizations, changing the Python data pipeline, or working on the Next.js frontend that reads generated JSON files.
Why use it?
It explains which files are source data, how data is regenerated from DC's ArcGIS service, and which project rules should be followed before editing.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is abigailhaddad/dc-realestate-2026's own configuration. It tells Claude Code how to work on dc-realestate-2026 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 dc-realestate-2026 configures →

Reuse

Borrowing it

Nothing to install: this file belongs to abigailhaddad/dc-realestate-2026. 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/abigailhaddad/dc-realestate-2026/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/abigailhaddad/dc-realestate-2026

Made for: Claude Code.

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Per session 1,339 This file is loaded in full into every session.
When invoked 1,339 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.01339 $0.01339
Opus 5 $0.00669 $0.00669
Sonnet 5 $0.00268 $0.00268
Haiku 4.5 $0.00134 $0.00134

Measured 11d ago against content hash d136341d8d35, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dc-realestate-2026 CLAUDE.md 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 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. **No build step in the pipeline.** All Python is stdlib only — `urllib`,
CLAUDE.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instructions for Claude in this codebase

This repo is meant to be a starter for new projects on top of DC's open property data. When someone hands you this repo and asks for a new feature, a new visualization, or a whole new project built on the same data, this file is where you start.

The mental model

This is a two-stage pipeline with a static frontend:

DC ArcGIS REST endpoints
        │
        ▼  (pipeline/pull*.py — Python stdlib, no deps)
    data/*.json  (raw + medium-sized intermediate files)
        │
        ▼  (cp into public/)
    public/*.json  (the React app reads these via fs.readFile at build time)
        │
        ▼  (Next.js App Router — server components do the file reads)
    Rendered HTML + interactive client components

Everything in data/ is regenerable. Don't treat any JSON file as authoritative — the source of truth is DC's APIs. If something looks wrong, re-run the relevant pipeline/ script.

Conventions worth knowing before you edit

  1. No build step in the pipeline. All Python is stdlib only — urllib, json, re, datetime. Don't add requests or pandas. The HTTP helper in pipeline/pull.py (http_get / arcgis_query) handles GET → POST fallback when polygon payloads make URLs too long, and pagination at the ArcGIS 2,000-row default page size.

  2. Leaflet maps need dynamic imports. Leaflet touches window at import time, so any component that uses react-leaflet MUST be split into two files: Foo.tsx (a thin client wrapper using next/dynamic with ssr: false) and FooImpl.tsx (the actual leaflet-using component). See components/SalesMap.tsx / components/SalesMapImpl.tsx for the pattern.

  3. Use codes are strings. ITSPE's USECODE is zero-padded — "081", not 81. Always quote when filtering.

  4. DC has TWO levels of property identifier:

    • Tax lots (~30,000) — physical parcels with polygons. From layer /39.
    • ITSPE / SSL (~221,000) — one row per legal property, which includes a separate row for every condo unit. When the question is "how many of X are there?", be explicit about which one you mean. Pulls in this repo dedupe to tax lots by intersecting ITSPE.SSL with the Tax Lots layer.

Read the full file on GitHub · 112 lines

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 · 112 lines · 1,339 tokens per session scan A d136341d8d35

Subscribe to this mod's changes

dc-realestate-2026 CLAUDE.md is an instructions file published in the GitHub repository abigailhaddad/dc-realestate-2026 (2 stars, last pushed 3mo ago), licensed MIT. It adds 1,339 tokens to every session, about $0.0067 per session on Opus 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.

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