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 pranava0x0/Commonwealth-MCP --skill whose-governmentgit clone --depth 1 https://github.com/pranava0x0/Commonwealth-MCPWrote 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/pranava0x0/commonwealth-mcp/whose-government)<a href="https://agentmods.dev/skills/pranava0x0/commonwealth-mcp/whose-government"><img src="https://agentmods.dev/badge/skills/pranava0x0/commonwealth-mcp/whose-government/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/pranava0x0/commonwealth-mcp/whose-government"><img src="https://agentmods.dev/badge/skills/pranava0x0/commonwealth-mcp/whose-government.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 | $0.00105 | $0.01322 |
| Opus 5 | $0.00053 | $0.00661 |
| Sonnet 5 | $0.00021 | $0.00264 |
| Haiku 4.5 | $0.00011 | $0.00132 |
Grade A, and why
whose-government 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Whose government
This is the first step of nearly every other question about a place, and the one that goes wrong silently. A parcel ID, a permit, a tax rate, and a zoning district all belong to a specific government, and answering with the wrong one produces a confident, well-sourced, wrong answer.
1. Establish the frame
Virginia's structure is the reason this needs a walk rather than a lookup.
- 95 counties and 38 independent cities. An independent city is not inside any county. Fairfax City is not in Fairfax County, Richmond City is not in Richmond County, and the two Richmonds are at opposite ends of the state.
- 189 incorporated towns, each inside a county. A town and its county both govern that ground, and they govern different things.
- Three cities gave up their charters and became towns — South Boston in 1995, Clifton Forge in 2001, Bedford in 2013. Someone asking about "Bedford City" is asking about a government that no longer exists, and the right answer names the town it became.
2. Minimum data walk
Take whichever input the caller gave and stop as soon as the government is established. This walk has no second step for most inputs.
A name. Resolve it directly. Three outcomes, and they are different:
- One match. Report it with the stack above it.
- Several matches. Stop. The result carries candidates with a distinguisher for each ("independent city, not the county"). Show them and ask. Do not pick, and do not use surrounding context to guess: the caller who says "Fairfax" may well mean the one you would not have chosen.
- A former name. "Bedford City" resolves to the town with a note saying the charter was given up and when. Pass the note on; someone using the old name is often working from an old document, and that matters to whatever they do next.
A street address. Geocode it with geocode.address, then place the
resulting point. Two things to carry through:
- The postal city is not the government. Mail addressed to Alexandria is frequently in Fairfax County. Say both, and say which is which.
- The geocoder may return several candidates in different governments. When it does, that is an ambiguous address, not a ranked list. Show the candidates rather than taking the highest score.
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.
- yesterday Changed · +3 lines 25b30155e808
- 7d ago First seen · 116 lines · 105 tokens per session scan A f713ab64db59
whose-government is a skill published in the GitHub repository pranava0x0/Commonwealth-MCP (0 stars, last pushed today), licensed Apache-2.0. It adds 105 tokens to every session and 1,322 once invoked, about $0.0005 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 2026-09-04.
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