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 agentmods add skills/misterclean/claude-plugins/us-census-datanpx skills add MisterClean/claude-plugins --skill us-census-datagit clone --depth 1 https://github.com/MisterClean/claude-pluginsWhat 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 | $0.00095 | $0.02223 |
| Opus 5 | $0.00048 | $0.01111 |
| Sonnet 5 | $0.00019 | $0.00445 |
| Haiku 4.5 | $0.00010 | $0.00222 |
Grade A, and why
us-census-data scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl "https://api.census.gov/data/2022/acs/acs5?get=NAME,B01001_001E&for=state:*&key=$CENSUS_API_KEY" How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
US Census Data Skill
Query demographic, economic, housing, and population data from the US Census Bureau API. Supports American Community Survey (ACS), Decennial Census, and Population Estimates.
Prerequisites
Before querying, check if the user has an API key:
- Look for
CENSUS_API_KEYin the user's.envfile - If found, append to requests:
&key=<api_key> - If not found, instruct the user to:
- Register at https://api.census.gov/data/key_signup.html
- Add to
.env:CENSUS_API_KEY=your_key_here
The API works without a key for testing but is rate-limited and may block requests.
Quick Start
The Census API is at api.census.gov. Queries require:
- Dataset path:
/data/{year}/{dataset}(e.g.,/data/2022/acs/acs5) - Variables:
?get=NAME,B01001_001E(variable codes) - Geography:
&for=county:*&in=state:17(FIPS codes) - API Key:
&key=YOUR_KEY(required for production use)
Workflow
Step 1: Clarify the Data Need
Ask the user:
- Topic: What data? (population, income, housing, education, poverty, etc.)
- Geography: What level? (nation, state, county, tract, block group, ZCTA?)
- Time period: Which year(s)?
- Dataset: ACS 5-year (most common), ACS 1-year, or Decennial Census?
Step 2: Choose the Dataset
| Need | Dataset | Endpoint | Notes |
|---|---|---|---|
| Detailed demographics (small areas) | ACS 5-Year | /data/{year}/acs/acs5 |
Block group+, most reliable |
| Recent data (large areas only) | ACS 1-Year | /data/{year}/acs/acs1 |
65k+ population areas only |
| Exact population counts | Decennial | /data/2020/dec/dhc |
Every 10 years, block level |
| Annual population change | Pop Estimates | /data/{year}/pep/population |
County+, intercensal |
See references/datasets.md for complete dataset documentation.
Step 3: Find Variables
Census variables use codes like B19013_001E (median household income). The E suffix = estimate, M suffix = margin of error.
What ships with it
8 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.
- 2d ago First seen · 214 lines · 95 tokens per session scan A 8a91ce02eb1c
us-census-data is a skill published in the GitHub repository MisterClean/claude-plugins (3 stars, last pushed 7mo ago), licensed MIT. It adds 95 tokens to every session and 2,223 once invoked, about $0.0005 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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