What is nicar2026_skills_in_codex_claude AGENTS.md?

Repository instructions for a Python and Jupyter demonstration project about reusable AI skills. The project uses election-finance data, notebooks, reports, and example skills.

Running the OpenFEC filing command, working in Jupyter, rendering reports, editing example skills, and following the repository’s testing and organization rules.

It tells contributors where different files belong and how to build, test, and maintain the teaching examples consistently.

How amkessler/nicar2026_skills_in_codex_claude configures Codex and Op

Reuse

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.

Copy the file

curl -O https://raw.githubusercontent.com/amkessler/nicar2026_skills_in_codex_claude/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/amkessler/nicar2026_skills_in_codex_claude

Made for: Codex, OpenCode.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/amkessler/nicar2026_skills_in_codex_claude/agents-md/github.svg)](https://agentmods.dev/instructions/amkessler/nicar2026_skills_in_codex_claude/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/amkessler/nicar2026_skills_in_codex_claude/agents-md"><img src="https://agentmods.dev/badge/instructions/amkessler/nicar2026_skills_in_codex_claude/agents-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/amkessler/nicar2026_skills_in_codex_claude/agents-md"><img src="https://agentmods.dev/badge/instructions/amkessler/nicar2026_skills_in_codex_claude/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,352 This file is loaded in full into every session.

When invoked 1,352 The same file — it is already loaded in full.

Security scan A 0 findings. 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.

Model	Per session	Once invoked
Fable 5.1	$0.01352	$0.01352
Opus 5.5	$0.00541	$0.00541
Sonnet 5.5	$0.00270	$0.00270
Haiku 4.5	$0.00135	$0.00135

Measured 2mo ago against content hash 3d0c676ea922, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nicar2026_skills_in_codex_claude AGENTS.md 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.

AGENTS.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Structure & Module Organization

This repo is a Python/Jupyter demo for NICAR 2026 focused on reusable AI skills.

fec_find_filings.py: CLI to query OpenFEC filings by committee ID.
set_jupyter_kernel.py: one-time local Jupyter kernel setup for this repo.
01_quickstart_underlying_code.md: attendee quickstart commands and first-run workflows.
02_skills_learning_notes.md: session notes, exercises, and troubleshooting.
03_fecfile_examples.md: worked FEC filing prompts and examples.
04_build_a_skill_from_your_code.md: tutorial for turning existing R/Python scripts into a skill.
05_skill_build_example_state_county_rankings.md: concrete state county rankings skill example.
06_skill_build_example_majority_minority_change.md: concrete majority-minority change skill example.
analysis/: notebook work area; keep reusable templates in analysis/notebook_templates/.
data/: project data buckets (source/, processed/, public/, documentation/, html_reports/).
skills/: canonical session copy of all skills for conference content.
.claude/skills/: active skills for Claude Code.
.agents/skills/: active repo-local skills for Codex CLI.

Build, Test, and Development Commands

uv sync: install/update dependencies from pyproject.toml and uv.lock.
uv run python fec_find_filings.py --help: inspect CLI options.
uv run python fec_find_filings.py C00770941 --limit 5: quick API smoke run.
uv run jupyter lab: start local notebooks in the project environment.
quarto render: build reports configured in _quarto.yml to data/html_reports/.
uv run python set_jupyter_kernel.py: configure the project kernel (run intentionally; it performs setup actions).
codex: launch Codex from the repo root; Codex discovers repo-local skills from .agents/skills/.
uv run --script skills/fecfile/scripts/fetch_filing.py 1896830 --summary-only: smoke test the FEC skill script from repo root.
Rscript skills/state-county-rankings/scripts/get_state_county_rankings.R --input skills/state-county-rankings/data/county_demographics_acs5_2023.csv --state GA --top-n 5: smoke test a bundled R skill script.

Read the full file on GitHub · 71 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.

2mo ago First seen · 71 lines · 1,352 tokens per session scan A 3d0c676ea922

Subscribe to this mod's changes

nicar2026_skills_in_codex_claude AGENTS.md is an instructions file published in the GitHub repository amkessler/nicar2026_skills_in_codex_claude (21 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 1,352 tokens to every session, about $0.0054 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.

nicar2026_skills_in_codex_claude AGENTS.md next to 6 instructions from other repositories
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vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
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nicar2026_skills_in_codex_claude: Instructions file for Codex