nicar2026_skills_in_codex_claude: Skill for Claude Code

.claude/skills/fecfile/SKILL.md

fecfile is a skill for Claude Code from amkessler/nicar2026_skills_in_codex_claude. It costs 41 tokens per session (2,398 once invoked), scanned A, original, Apache-2.0.

A tool for analyzing Federal Election Commission (FEC) campaign-finance filings. The FEC is the U.S. agency that publishes records about political committees, contributions, and spending.

In plain words
What is it for?
Use it to fetch and examine filings by ID, review contributions and disbursements, and filter or stream large filings.
Why use it?
It helps inspect filing data without manually handling large reports, including checking the filing size before downloading it.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is amkessler/nicar2026_skills_in_codex_claude's own configuration. It tells Claude Code how to work on nicar2026_skills_in_codex_claude itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nicar2026_skills_in_codex_claude configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run --script skills/fecfile/scripts/fetch_filing.py <ID> --schedule A 2>&1 | uv run /tmp/analysis.py.

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/.claude/skills/fecfile/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/amkessler/nicar2026_skills_in_codex_claude

Made for: Claude Code.

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.

agentmods badge for fecfile

README.md
[![agentmods](https://agentmods.dev/badge/skills/amkessler/nicar2026_skills_in_codex_claude/fecfile/github.svg)](https://agentmods.dev/skills/amkessler/nicar2026_skills_in_codex_claude/fecfile)
Your own site
<a href="https://agentmods.dev/skills/amkessler/nicar2026_skills_in_codex_claude/fecfile"><img src="https://agentmods.dev/badge/skills/amkessler/nicar2026_skills_in_codex_claude/fecfile/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.

agentmods 80×15 button for fecfile

Your own site · 80×15
<a href="https://agentmods.dev/skills/amkessler/nicar2026_skills_in_codex_claude/fecfile"><img src="https://agentmods.dev/badge/skills/amkessler/nicar2026_skills_in_codex_claude/fecfile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,398 The whole file, excluding the scripts and references it only reads on demand.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.02398
Opus 5 $0.00020 $0.01199
Sonnet 5 $0.00008 $0.00480
Haiku 4.5 $0.00004 $0.00240

Measured 11d ago against content hash 9d8116e92400, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

fecfile 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/fetch_filing.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/fecfile/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FEC Filing Analysis

This skill enables analysis of Federal Election Commission campaign finance filings.

Requirements

  • uv must be installed
  • Python 3.9+

Dependencies are automatically installed when running the script with uv run.

First-Time Check

The first time this skill is invoked in a session, verify that uv is installed by running:

uv --version

If this command fails or uv is not found, do not proceed. Instead, inform the user that uv is required but not installed, and direct them to the installation guide: https://docs.astral.sh/uv/getting-started/installation/

Quick Start

Always start by checking the filing size:

uv run --script skills/fecfile/scripts/fetch_filing.py <FILING_ID> --summary-only

Based on the summary, decide how to proceed—see Handling Large Filings below for filtering and streaming strategies. Small filings can be fetched directly; large filings require pre-filtering or streaming.

Fetching data:

uv run --script skills/fecfile/scripts/fetch_filing.py <FILING_ID>                   # Full filing (small filings only)
uv run --script skills/fecfile/scripts/fetch_filing.py <FILING_ID> --schedule A      # Only contributions
uv run --script skills/fecfile/scripts/fetch_filing.py <FILING_ID> --schedule B      # Only disbursements
uv run --script skills/fecfile/scripts/fetch_filing.py <FILING_ID> --schedules A,B   # Multiple schedules

The fecfile library is installed automatically by uv.

Field Name Policy

IMPORTANT: Do not guess at field names. Before referencing any field names in responses:

  1. For form-level fields (summary data, cash flow, totals): Read references/FORMS.md
  2. For itemization fields (contributors, payees, expenditures): Read references/SCHEDULES.md

These files contain the authoritative field mappings. If a field name isn't documented there, verify it exists in the actual JSON output before using it.

Handling Large Filings

Read the full file on GitHub · 257 lines

Files

What ships with it

3 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.

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.

  1. 11d ago First seen · 257 lines · 41 tokens per session scan A 9d8116e92400

Subscribe to this mod's changes

fecfile is a skill published in the GitHub repository amkessler/nicar2026_skills_in_codex_claude (20 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 2,398 once invoked, about $0.0002 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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