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/AGENTS.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/instructions/amkessler/nicar2026_skills_in_codex_claude/agents-md)<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.
<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>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 | $0.00676 | $0.00676 |
| Sonnet 5 | $0.00270 | $0.00270 |
| Haiku 4.5 | $0.00135 | $0.00135 |
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 10d 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.
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 inanalysis/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 frompyproject.tomlanduv.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.ymltodata/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.
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.
- 10d ago First seen · 71 lines · 1,352 tokens per session scan A 3d0c676ea922
nicar2026_skills_in_codex_claude AGENTS.md is an instructions file published in the GitHub repository amkessler/nicar2026_skills_in_codex_claude (20 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,352 tokens to every session, about $0.0068 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 2026-08-30.
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