A workflow for analyzing campaign-finance reports filed with the U.S. Federal Election Commission, the agency that collects federal election funding records.

Looking up committees and filing IDs, examining contributions or spending, and fetching complete or selected sections such as Schedule A contributions.

It helps handle filings of different sizes by checking their summaries first and selecting full, filtered, or streamed retrieval as needed.

fecfile — Skill for Claude Code by hodgesmr

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/hodgesmr/agent-fecfile

agentmods

npx agentmods add skills/hodgesmr/agent-fecfile/fecfile

Made for: Claude Code.

Or install fecfile, the plugin that ships this one along with the rest of its 1 skill, 1 MCP server.

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/skills/hodgesmr/agent-fecfile/fecfile.svg)](https://agentmods.dev/skills/hodgesmr/agent-fecfile/fecfile)

Your own site

<a href="https://agentmods.dev/skills/hodgesmr/agent-fecfile/fecfile"><img src="https://agentmods.dev/badge/skills/hodgesmr/agent-fecfile/fecfile.svg" alt="Measured on agentmods" height="20"></a>

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,005 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.

Model	Per session	Once invoked
Fable 5.1	$0.00061	$0.04005
Opus 5	$0.00030	$0.02003
Sonnet 5	$0.00012	$0.00801
Haiku 4.5	$0.00006	$0.00400

Measured 8d ago against content hash b780be4daa9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 8d 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.

skills/fecfile/SKILL.md · 433 lines

How it starts

The opening of the file, as written. The whole thing — 433 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 scripts 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 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 scripts/fetch_filing.py <FILING_ID>                   # Full filing (small filings only)
uv run scripts/fetch_filing.py <FILING_ID> --schedule A      # Only contributions
uv run scripts/fetch_filing.py <FILING_ID> --schedule B      # Only disbursements
uv run 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:

For form-level fields (summary data, cash flow, totals): Read references/FORMS.md
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

FEC filings vary enormously in size. Small filings (like state party monthly reports) may have only a few dozen itemizations and can be used directly. However, major committees like ActBlue, WinRed, and presidential campaigns can have hundreds of thousands of itemizations in a single filing. Do not dump large filing data directly into the context window. Avoid streaming large filings to stdout.

Read the full file on GitHub · 433 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.

8d ago First seen · 433 lines · 61 tokens per session scan A b780be4daa9c

Subscribe to this mod's changes

fecfile is a skill published in the GitHub repository hodgesmr/agent-fecfile (40 stars, last pushed 2mo ago), licensed MIT. It adds 61 tokens to every session and 4,005 once invoked, about $0.0003 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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