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 MisterClean/claude-plugins --skill chicago-data-portalgit clone --depth 1 https://github.com/MisterClean/claude-pluginsWrote 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/misterclean/claude-plugins/chicago-data-portal)<a href="https://agentmods.dev/skills/misterclean/claude-plugins/chicago-data-portal"><img src="https://agentmods.dev/badge/skills/misterclean/claude-plugins/chicago-data-portal/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/misterclean/claude-plugins/chicago-data-portal"><img src="https://agentmods.dev/badge/skills/misterclean/claude-plugins/chicago-data-portal.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 | $0.00073 | $0.01861 |
| Opus 5 | $0.00036 | $0.00931 |
| Sonnet 5 | $0.00015 | $0.00372 |
| Haiku 4.5 | $0.00007 | $0.00186 |
Grade A, and why
chicago-data-portal 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST \ How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chicago Data Portal Skill
Query and download datasets from the City of Chicago Data Portal using the Socrata Open Data API (SODA) and SoQL.
Prerequisites
Before querying, check if the user has an app token:
- Look for
CHICAGO_DATA_PORTAL_TOKENin the user's.envfile - If found, use it in requests via header:
X-App-Token: <token> - If not found, instruct the user to:
- Sign up at https://data.cityofchicago.org/signup
- Create an app token in Developer Settings
- Add to
.env:CHICAGO_DATA_PORTAL_TOKEN=your_token_here
Queries work without a token but are rate-limited.
Quick Start
The Chicago Data Portal is at data.cityofchicago.org. Each dataset has a unique 4x4 ID (e.g., ijzp-q8t2 for crimes). Use the catalog API to discover datasets, then query via SODA.
Workflow
Step 1: Clarify the Data Need
Ask the user:
- Topic: What data? (crimes, permits, 311 requests, businesses, etc.)
- Geography: Citywide, ward, community area, or specific location/radius?
- Time window: Date range or "most recent"?
- Output: JSON (code) or CSV (Excel)?
- Granularity: Raw rows or aggregated counts?
Step 2: Find the Dataset
Option A - Catalog Search API:
GET https://api.us.socrata.com/api/catalog/v1?domains=data.cityofchicago.org&q=<keywords>
Option B - Portal UI: Browse https://data.cityofchicago.org and use the search bar.
Deliverable: Dataset name, 4x4 ID, and API endpoint.
See references/popular-datasets.md for commonly requested datasets.
Step 3: Get Dataset Metadata
Fetch schema and column info:
GET https://data.cityofchicago.org/api/views/<4x4-ID>
Key fields in response:
columns[].fieldName- exact column names for queriescolumns[].dataTypeName- data type (text, number, calendar_date, location, etc.)columns[].description- what the column meansrowsUpdatedAt- last data update timestamp
Always verify column names from metadata before building queries.
Step 4: Build the Query
What ships with it
6 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 · 210 lines · 73 tokens per session scan A 41b139bc39fe
chicago-data-portal is a skill published in the GitHub repository MisterClean/claude-plugins (3 stars, last pushed 7mo ago), licensed MIT. It adds 73 tokens to every session and 1,861 once invoked, about $0.0004 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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