Borrowing it
Nothing to install: this file belongs to amkessler/nicar2026_skills_in_codex_claude. 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/amkessler/nicar2026_skills_in_codex_claude/main/.claude/skills/state-county-rankings/SKILL.mdgit clone --depth 1 https://github.com/amkessler/nicar2026_skills_in_codex_claudeWrote 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/amkessler/nicar2026_skills_in_codex_claude/state-county-rankings)<a href="https://agentmods.dev/skills/amkessler/nicar2026_skills_in_codex_claude/state-county-rankings"><img src="https://agentmods.dev/badge/skills/amkessler/nicar2026_skills_in_codex_claude/state-county-rankings/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/amkessler/nicar2026_skills_in_codex_claude/state-county-rankings"><img src="https://agentmods.dev/badge/skills/amkessler/nicar2026_skills_in_codex_claude/state-county-rankings.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 | $0.00040 | $0.00397 |
| Opus 5.5 | $0.00016 | $0.00159 |
| Sonnet 5.5 | $0.00008 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
state-county-rankings 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 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.
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.
What it actually says
State County Rankings
Use this skill to rank counties within a state for one or more metrics from a local dataset.
Requirements
- R with
dplyr,tidyr,readr,stringr, andjsonlite - Local CSV input with
county, a state column (state,state_name, orstate_abbrev), and requested metric columns - Bundled Census CSV for immediate use:
skills/state-county-rankings/data/county_demographics_acs5_2023.csv - No API key required
Standard Workflow
- Confirm input CSV path and state.
--stateaccepts full names or USPS abbreviations (for example,GeorgiaorGA).- Default bundled input:
skills/state-county-rankings/data/county_demographics_acs5_2023.csv
- Review
skills/state-county-rankings/references/COLUMN_REQUIREMENTS.mdand use exact output headers before downstream filtering/selecting.- Output columns are
state,county,metric,value,rank, anddirection.
- Output columns are
- Ask for metrics (or use defaults) and ranking direction.
- Run:
Rscript skills/state-county-rankings/scripts/get_state_county_rankings.R --input skills/state-county-rankings/data/county_demographics_acs5_2023.csv --state "<state>"
- Return top/bottom county rankings and note missing/invalid fields.
Output
Return ranked rows with:
statecountymetricvaluerankdirection
What ships with it
4 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.
- 2mo ago First seen · 40 lines · 40 tokens per session scan A bcc8dabf60f3
state-county-rankings is a skill published in the GitHub repository amkessler/nicar2026_skills_in_codex_claude (21 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 397 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
state-county-rankings compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| state-county-rankingsamkessler/nicar2026_skills_in_codex_claude | Skill | 21 | 3mo ago | Apache-2.0 | A | 40 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |