EdgarTools is a Python library that turns SEC EDGAR filings into structured, typed data, including financial statements, insider trades, fund holdings, and other filing types. It is used to analyze regulatory filings in notebooks, data pipelines, and AI systems. Its catalogue add-ons operate the library through skills, commands, instructions, and an MCP server.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add dgunning/edgartools --skill coregit clone --depth 1 https://github.com/dgunning/edgartoolsWrote 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/skills/dgunning/edgartools/core)<a href="https://agentmods.dev/skills/dgunning/edgartools/core"><img src="https://agentmods.dev/badge/skills/dgunning/edgartools/core/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/skills/dgunning/edgartools/core"><img src="https://agentmods.dev/badge/skills/dgunning/edgartools/core.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00012 | $0.00354 |
| Opus 5.5 | $0.00005 | $0.00142 |
| Sonnet 5.5 | $0.00002 | $0.00071 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
EdgarTools 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- EdgarTools — 100% identical, 0 lines differ
What it actually says
EdgarTools
Analyze SEC filings and financial statements.
Skills
| Skill | Purpose |
|---|---|
| core (this directory) | Company lookup, filings, search |
| financials/ | Financial statements and metrics |
| reports/ | 10-K/10-Q/8-K section extraction |
| holdings/ | 13F institutional holdings |
| ownership/ | Form 3/4/5 insider transactions |
| xbrl/ | Low-level XBRL facts and concepts |
| forms.yaml | SEC form type mappings |
Each skill directory has skill.yaml (patterns and examples) and sharp-edges.yaml (common mistakes to avoid).
Quick Setup
from edgar import set_identity
set_identity("Your Name [email protected]") # Required
API Discovery
Every object has .docs for API reference:
company.docs # Full API guide
company.docs.search("filings") # Search for specific topic
filing.docs.search("xbrl") # How to access XBRL
Common Entry Points
from edgar import Company, get_filings, find
company = Company("AAPL") # By ticker
filing = find("0000320193-25-000079") # By accession
filings = get_filings(form="10-K", year=2024) # Discovery
What ships with it
6 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.
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.
- 1mo ago First seen · 50 lines · 12 tokens per session scan A 65ff350a67cb
EdgarTools is a skill published in the GitHub repository dgunning/edgartools (2,798 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 354 once invoked, about $0.0000 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.
Other skills, from other repositories
edgrapi-filings
Company profiles and recent SEC filings from EDGAR via Edgrapi.com. Resolve a US-listed ticker to its CIK, industry, fiscal-year end, and exchange, and list its recent 10-K / 10-Q / 8-K filings with document links.
sec-edgar-pipeline
SEC EDGAR extraction pipeline: setup, filing discovery by CIK, recipe-driven extraction, and report generation.
financial-filings-research
Use for questions about a public company's regulatory filings or financials — revenue, EBITDA, net income, debt, cash flow, 10-K/20-F/annual reports, insider transactions, peer or industry screening, or resolving a company by name, ticker, ISIN or LEI via the FinancialFilings MCP connector. Carries the workflows plus…
financial-modeling
Build integrated financial models with 3-statement projections. Create income statement, balance sheet, and cash flow models with proper linkages.
securities-research-analyst
Use when research analysts or investment teams need to turn filings, earnings calls, announcements, financial metrics, and industry data into traceable securities research notes with evidence links, scenario analysis, valuation assumptions, and compliance-safe risk flags.
aether-research
Cited equity research with Aether — routes filing/transcript/regulation questions to the right Aether tool, scopes every call to a named issuer, enforces citation discipline, and never lets an uncited figure into the answer. Use when researching public companies, SEC filings, earnings calls, or EU financial regulation.