sec-filing-puller SKILL.md skillA

sec-filing-puller from onewave-ai/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add onewave-ai/claude-skills/sec-filing-puller@git:20260923.f317e08

Pins git:20260923.f317e08 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
onewave-ai/claude-skills
Path
sec-filing-puller/SKILL.md
Versions recorded
1
Latest version
git:20260923.f317e08, committed Sep 23, 2026
Size
8,326 bytes
Repository stars
421
License
MIT

Pulls financial statement numbers for US public companies straight from SEC EDGAR's free official XBRL APIs (companyfacts, companyconcept, frames, submissions) into a cited table. Every value carries its accession number, form, fiscal period, filed date, XBRL tag and a link to the filing, and the tool handles fiscal-year ends, quarterly vs YTD vs TTM, derived Q4, restatements and units. Use this whenever the user wants 10-K numbers or 10-Q numbers, says "pull financials for", asks for public…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# SEC Filing Puller

Analysts lose a day prompting for 10-K numbers and still distrust the result. Models get these numbers wrong in predictable ways: they mix fiscal years, blend restated and originally reported figures, confuse quarterly with YTD or TTM, and slip on units. Do not recall financials from memory and do not scrape them from websites. Run the scripts. They read SEC's structured data and attach a filing citation to every number. Spend your own effort on judgment: whether the periods line up, whether the definitions match, and what the XBRL cannot tell you.

## Setup (once)

SEC requires a declared User-Agent with contact info. Without one, requests get HTTP 403. Ask the user for their name/company and email if you don't have them, then run:

```bash
export SEC_USER_AGENT="Acme Research jane@acme.com"   # the user's own contact, never a made-up one
pip install pandas                                     # the only dependency; everything else is stdlib
```

The scripts stay under SEC's 10 requests/second limit and cache responses in `~/.cache/sec-filing-puller` (override with `SEC_CACHE_DIR`, bypass with `--refresh`). Endpoint details are in `references/edgar-api.md`.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add onewave-ai/claude-skills/sec-filing-puller@sha256:d2e117cb1e8cf6a1

The line at the top of this page pins the label git:20260923.f317e08, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_h5wy7apeltmeqkfv.svg)](https://markdownregistry.com/a/art_h5wy7apeltmeqkfv)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 23, 2026.

versioncommittedcommitsizeaudit
git:20260923.f317e08 latest2026-09-23 f317e08 8,326 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8326 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

onewave-ai/claude-skills · 421 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_h5wy7apeltmeqkfv
GET https://markdownregistry.com/api/v1/resolve?ref=onewave-ai/claude-skills/sec-filing-puller
GET https://markdownregistry.com/api/v1/blob/d2e117cb1e8cf6a1b92156a657f45d428d97c10b8bcf5a489acb5f1dddb6d053

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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